Encouraging Student Proficiency through Adversity: Cultivating Resilience to Overcome a Victim Mindset

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Dinkins¹, Tecoye E. Dinkins², Mary K. Lannon³ This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7696094/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 10 You are reading this latest preprint version Abstract This research addressed the need for effective strategies to increase student proficiency and learning competencies by reducing victim mentality in academic settings. Victim mentality is a state of mind in which individuals feel helpless or that the world is against them. The characterization of a victim mentality is predicated on the tendency to shift the blame for academic performance to external factors and perceived limitations, which can significantly impact student achievement and morale. This research study also addressed the role of academic culture, environment, and instructor interactions that can either cultivate or mitigate this state of mind. By understanding the cognitive concepts associated with victim mentality among students, instructors can identify components that build competence and resilience for students. The findings indicated that students with higher levels of resilience experienced increased academic performance. Similarly, students with higher levels of self-victimization experienced lower academic performance. Academic difficulties educational strategies competence building instructor interactions resilience Introduction Many educators provide a holistic application of academic growth through emotional, social, and cognitive encouragement. Often, their creativity in the classroom transcends many negative components that disrupt and prevent effective learning. In higher education, instructors act even more as academic facilitators and help to build a strong foundation in their respective disciplines. These actions help instill confidence and equip students to encounter the complexities of a competitive and talented workplace and society. Although many encounters with students are positive and promote aspects of job satisfaction and appreciation, many student interactions can include professors being blamed for the student’s own lack of academic performance. This can create challenges, prohibit students from reaching their full potential, and cause professors to disproportionately allocate intellectual energy to dealing with disruption and criticism. Understanding how to set expectations and student responsibility is an essential aspect of positively impacting students’ educational journeys. Therefore, students must possess self-awareness and resilience, seek support, and build empowerment through action. Problem Statement Students come from all walks of life, and with universal access to education, all are afforded the opportunity to pursue education. This diversity establishes many intellectual benefits to the learning environment and exposes students to different experiences and circumstances that can shape aspirations for student success. However, accountability and the desire to overcome challenges through a consistent work ethic can enable mental resilience to persevere through many different difficult educational situations. Mutual accountability is paramount, and teachers must also provide an environment that shapes and cultivates that learning experience. Building resilience, self-awareness, and realistic goals can provide the foundation for students’ success and accountability in their own academic achievements. Review of the Literature The notion of shaping personal attitudes through the process of cognitive patterns is the underlying foundation of establishing victim mentality (Andronnikova & Kudinov, 2021). Many students can easily become overwhelmed by educational requirements and shift focus to identifying reasons that they cannot succeed, rather than seeking methods to overcome those barriers and challenges. Overcoming these cognitive influences may be difficult without the proper support and resources. Therefore, teachers must identify methods to develop resilient strategies and, in many ways, provide some direct individualized concepts to improve confidence. To improve the learning process, specific student needs must be addressed (Zhiyenbayeva & Ergesheva, 2021). Personal improvement relies on some degree of self-awareness to understand academic limitations and seek out meaningful actions for improvement. Theoretical Framework Recent studies have integrated theoretical principles of the Objective Self-Awareness Theory to understand crucial aspects of personal motivations (Geary & Zu, 2022; Jaakkola et al., 2022). These studies aimed to improve self-awareness to positively transform the learning environment. Wicklund (1975) presented the Objective Self-Awareness Theory as conscious attention that is focused within or outward toward a person’s surrounding environment. This theoretical underpinning aligns with the focus on developing interpersonal and extrapersonal strategies to build competencies for positive and objective awareness (Wicklund, 1975). This focus provides cognitive introspection for students who may not understand how their mentality can diminish academic performance. Some situational and environmental factors may influence a student's ability to problem-solve and negatively impact their resiliency. This includes peer interaction, family support, social media use, and instructor-student interactions (Kedia & Lokanath). This theoretical lens allows for an exploration of concepts related to proactive thinking and balancing tendencies of self-victimization to understand operative methods for improving student effectiveness in the course room. Self-Awareness Being critically aware of personal deficiencies and recognizing behavior patterns is critical to overcoming challenges. These challenges coincide with the unique impacts of academic performance and the ability to pursue progressive changes to reduce cognitive limitations. Having the capacity to overcome these challenges also relies on students' abilities to assess past experiences to align efforts to achieve a preparedness mindset. Being able to reflect allows a person to experience things openly and aids in a person’s ability to reflect objectively (Sutton, 2016). This reflection allows for identifying patterns of behavior and weaknesses in their learning process. Taking consistent steps toward deliberate action to accomplish a consistent practice of self-awareness is a primary component of eliminating victim mentality. A study conducted by Patrick and Rollins (2016) found that many people do not attribute substandard educational outcomes to teachers or the school. Still, their results indicated that most of the participants' responses identified students as the most accountable for their own academic outcomes. Shifting blame can often be a characteristic of an underperforming student. Although instructors and professors have the overall responsibility to shape the learning environment and meet course objectives, there are realistic expectations for students to build strong competencies and confidence in their personal growth and navigate their educational journey. Additionally, students still maintain a level of accountability and must seek out opportunities to improve their performance and their capacity to achieve in any situation. This level of adaptability is needed in high-performing occupations (Jacobs & Keegan, 2022) such as public safety and healthcare. Empirical evidence has shown that informing students about self-awareness can enhance their ability to reflect on their leadership propensity and provide an opportunity to demonstrate effective teamwork (Lawrence et al., 2018). Having a degree of control and the capability to be aware of one’s emotions and judgments to break patterns that spur thoughts of failure and shifting blame is a primary aspect of disrupting negative thinking (Kelly, 2019). This mentality creates the ability to empower action and take responsibility to create a sense of control, even when dealing with difficult circumstances. Emotional regulation can serve as an intervention method to build personal resilience (Zeier et al., 2019). Cognitive control may present opportunities to reduce a student’s likelihood of shifting blame when self-induced expectations are not met and goals are not achieved. College students with higher levels of emotional intelligence may experience improved self-efficacy and have a higher perception of social support, which may subsequently lead to their motivation to learn (Tang & He, 2023). Having the cognitive capacity to endure difficult circumstances and overcome these situations with positive responses and behaviors can be a learned experience (Kelly, 2019). Therefore, it is vital to integrate behavioral reflection components to spur critical thought and accountability for meeting course goals. Intrinsic Motivation and Ownership Depending on the student and the course, the level of motivation may change (Yang & McDonnell, 2024). Although extrinsic factors play a role in education as well, intrinsic motivational factors may add an additional understanding of what pushes a student to do well in school. Findings from a study completed by Yang and McDonnell (2024) emphasized that there was an increase in motivation when the students perceived they had ownership in their writing. The authors posit that ownership can include aspects such as a level of responsibility, commitment, and connection to the work, and positive or negative emotions (Yang & McDonnell, 2024). Building Resilience Emotional intelligence and resilience can be critical aspects of learning and shaping cognitive functions to expand knowledge. Tang and He (2023) found that emotional intelligence positively predicts student learning motivation. Resiliency is a fundamental pillar of many academic components that allow for student success. Research has shown that students who possess a higher level of resilience produce positive academic outcomes, such as having a high success rate and a lower probability of dropping out of school (Bittman, 2021). This mental ability can help students seek out information and have the presence of mind to develop strategies to build formidable academic progression throughout many different classes. Faculty can help students build these essential skills through deliberate development and integration of educational compensatory strategies. This can include building connectedness among faculty and students, which can provide indirect influences on students who struggle by sharing personal experiences and challenges. Students may feel like their situation is unique. However, several students may experience similar circumstances and situations, and sharing those experiences can help reduce anxiety and better diagnose challenging situations (Costello et al., 2022). Contemporary challenges can further impact the lives of students. In an online environment, students may not have a strong academic support network and may have limited communication with peers. This interconnectedness can help influence perspectives through peer conversations and advice. Some moments of isolation can limit a sense of belonging, which can unintentionally influence isolation. This sense of community can provide some emotional stability, at least in academics, to provide key concepts for developing resilience. Students must establish realistic expectations and goals and keep a positive outlook to overcome adversity. Steadily integrating these practices can help students cope with challenges in the learning process and create a strong resilience foundation. In addition, students must be able to develop academic skills through deliberate practice. Finally, a student who possesses the needed coping skills to lower stress can better overcome challenges (Albourzkouh et al., 2015). These concepts can be complex, and many aspects are driven by student participation and academic culture. However, in many cases, these aspects are also based on individual traits of students and professors, which can produce a myriad of corresponding outcomes. Academic Hostilities Some instructors may encounter situations in which students lack the motivation and competencies to overcome obstacles throughout their academic journey. In many of these situations, students misdirect their hostilities toward professors as a result. Holdcroft (2014) explained that university faculty can encounter bullying related to student grades, especially those members who are women, and the bullying is most often conducted by male students. These hostilities can have a detrimental impact on the learning process and negatively affect the environment. Student and faculty dynamics are a critical factor for academic success, and that relationship is necessary to assist student growth and development with course content. Psychological exposure to prolonged hostile acts and disputes can reduce academic development and may create stress that impacts success in the course room. This impact creates the need for coping strategies to enhance the quality of education. This can occur through building supportive concepts and mutual dignity that foster a culture of respect and success (Tu, 2021). Faculty can also negatively affect student academic performance and psychological health with conflict-inducing attitudes (Ali et al., 2019). These negative attitudes can create an environment that lacks support and is overly critical of students and their work. For instance, instructors who present overly harsh criticism without a constructive component for improvement through feedback can be a destructive aspect of the student experience and reduce participation. In addition, public criticism through online settings may limit student interactions and reduce classroom engagement, negatively impacting the learning experience. In synchronous seminars, these critical aspects can also be presented in other passive ways, such as dismissive comments and displaying a lack of empathy. This can lead to awkward interactions in the course room and any interpersonal discussions that may occur through email or in person outside of the learning environment. Negative behavior can reduce the performance, morale, and success of the student-teacher relationship (Ali et al., 2019). Purpose Statement This quantitative study was conducted to explore how awareness of emotional and cognitive influences impacts victim mentality among students and to understand how these components correspond to student performance. This exploration was driven by quantitative methods aimed at understanding student experiences in academic achievement, classroom engagement, and online interpersonal interactions. The aim of the study was to contribute to institutional competencies in academia through the recognition of associative connections between self-victimization and resilience in order to improve student success. Participants in this study were students at Purdue University Global. The study was conducted through the theoretical lens of the Objective Self-Awareness Theory to explore student success related to resilience and victim mentality. Research Question The following research question was developed to guide the study: RQ: How do self-victimization and resilience contribute to student engagement and success in online courses? The data collection provided a method of analysis to understand the psychosocial factors that correlate to the potential for victim mentality to produce methods to address the negative influences. The methods also helped to define the appropriate measures that can influence positive change to reduce negative student engagement and achievement. In addition, the measures informed education promotion and resilience programs in online settings. Research Methods This research utilized a quantitative approach to explore the necessary components for building student proficiency to help overcome experiences associated with victim mentality in online education. Data was collected anonymously via an online survey to determine the extent to which students reported levels of resilience, victim mentality, academic success, and course engagement. The purpose was to identify key concepts to improve student and instructor actions to overcome these challenges. The focus was to understand and assess student resiliency. Procedure The participants for this research were students currently enrolled at Purdue University Global across all degree programs within the College of Social and Behavioral Sciences and the School of Health Sciences. In order to participate in the study, students were required to be 18 years of age or older. A recruitment email with a description of the research study and a link to the informed consent form was sent from a third party within the university to the participant population through the university email system. All data were collected and recorded using SurveyMonkey through quantitative surveys. Data Collection The survey instrument was derived from research conducted by Gabay et al. (2020), during which the Victim Mindset Test was developed to understand different psychological tendencies that correspond to victimhood. This rationale aligns with the pursuit of investigating how self-victimization in academia can impact student success. The Tendency for Interpersonal Victimhood (TIV) is also a concept that this study derives from exploring oneself as a victim across different relationships (Gabay et al., 2020), including those relationships that manifest in higher learning. The Brief Resilience Scale (BRS; Smith et al., 2008) was used to assess students’ ability to recover from stress. Data Analysis The quantitative data analysis was used to determine descriptive statistics and frequencies across the sample. This is valuable in providing focus areas for future research (Kotronoulas et al., 2023). Two aspects of quantitative analysis were employed for this study. Descriptive statistics help generate a detailed summary of the selected variables contained in the data sample (Kotronoulas et al., 2023). This included participant responses associated with victim mentality and resiliency. Second, inferential statistics examined the correlation between the variables and inferences within the data. Ethical Considerations Protecting the privacy and confidentiality of all research participants is a critical aspect of research ethics (Creswell & Poth, 2018). Participants were provided a description of the study and required to provide informed consent prior to participating in the research. They were advised that their participation in the study was voluntary and that they could withdraw from the study prior to submitting their survey responses. All collected data were protected. No distinguishing participant data was gathered that would reveal any personally identifiable information. Only those students who completed the informed consent form and agreed to participate in the study were included in the data collection. Informed consent was integrated into SurveyMonkey, which provided the ability to place a page before the survey where informed consent information is provided. Survey participants were able to read this information, and when they were ready, they could click “Yes” to move to the survey. If they did not wish to participate after reading this information, participants could click “No,” and the process ended, and they would not move to the survey. The records of this study are kept private. Any published records will not include any information that could identify a participant. Research records are stored securely, and only the researchers have access to them. Participant responses are anonymous and confidential. Data is stored on a password-locked computer and may be used in future presentations. After three years, all electronic records will be deleted. Results Demographic and Socioeconomic Details A total of 360 survey responses were received. Of these, 307 (85.28%) had no missing data. As shown in Table 1, most participants (24.8%) were between 41 and 45 years of age, with smaller but notable proportions in the 25-30 years (21.8%) and 31-35 years (15.3%) groups. The degree level at which participants were enrolled was greatest at the bachelor level (56.0%), followed by the master level (19.9%) and doctoral level (11.1%). Similarly, the most common programs of study included applied behavior analysis (18.2%), psychology (13.7%), and health sciences (12.1%). Table 1 Demographic & Socioeconomic Details Variable Frequency Percentage Age 18-24 years 25 8.1 25-30 years 67 21.8 31-35 years 47 15.3 36-40 years 41 13.4 41-45 years 76 24.8 46-50 years 40 13.0 51-60 years 11 3.6 61+ years 25 8.1 Education Associate 23 7.5 Bachelor 172 56.0 Master 61 19.9 Doctoral 34 11.1 Certificate 17 5.5 Current academic program Applied behavior analysis 56 18.2 Psychology 42 13.7 Health sciences 37 12.1 Human services 15 4.9 Others 157 51.1 Total 307 100.0 Academic Performance Table 2 shows an overview of the academic performance of the sample (N = 307), focusing on the current cumulative grade point average (CGPA) and the number of program courses attended. A substantial proportion of participants exhibit strong academic performance, with 38.4% achieving a perfect 4.0 CGPA and 33.6% falling within the 3.5-3.9 CGPA range. A smaller number of students reported lower CGPAs, with only 1.3% scoring below 2.0 and 6.5% in the 2.0 to 2.4 range. In terms of online classes, the majority (32.2%) have taken 1-2 classes, while a significant percentage (26.1%) have completed between 6-10 courses (see Table 2). Table 2 Academic Performance Variable Frequency Percentage Current CGPA Below 2.0 CGPA 04 1.3 2.0 - 2.4 CGPA 20 6.5 2.5 - 2.9 CGPA 19 6.2 3.0 - 3.4 CGPA 43 14.0 3.5 - 3.9 CGPA 103 33.6 4.0 CGPA 118 38.4 Number of online classes 1-2 classes 99 32.2 3-5 classes 54 17.6 6-10 classes 80 26.1 11-15 classes 31 10.1 16-20 classes 20 6.5 21 or more classes 23 7.5 Total 307 100.0 Reliability and Factor Analysis The factorability of the five resilience scale items and the 20 self-victimization scale items was analyzed using the Principal Component Analysis (PCA) extraction method in the Statistical Package for Social Sciences (SPSS). Each item on the resilience scale showed factor loading values exceeding the commonly accepted threshold of .70 (Hair et al., 2012; Williams et al., 2010). With a satisfactory Cronbach's alpha value of .867 and high item loadings, the factor analysis for the resilience scale was considered appropriate for this research. Table 3 Factor Loadings of 5 Items of Resilience Scale Items Loading Resilience Item 1 .76 Item 2 .77 Item 3 .78 Item 4 .87 Item 5 .86 Cronbach’s Alpha .867 Extraction Method: Principal Component Analysis Similarly, 19 of the 20 items on the self-victimization scale demonstrated factor loading values within the accepted range of .3 to .6. Only one item below the range of .3 (.277) was removed before the formal analysis. The Cronbach’s alpha value of the self-victimization instrument was .879, as shown in Tables 3 and 4, which indicates a high level of internal consistency of the scale (Cicchetti, 1994). Table 4 Factor Loadings of 20 Items of Self-Victimization Scale Items Loading External attribution Item 1 .28 Item 2 .31 Item 3 .56 Item 4 .52 Need for recognition Item 5 .45 Item 6 .65 Item 7 .46 Item 8 .40 Moral elitism Item 9 .35 Item 10 .63 Item 11 .62 Item 12 .62 Rumination Item 13 .65 Item 14 .56 Item 15 .60 Item 16 .49 Perception of unfairness Item 17 .66 Item 18 .56 Item 19 .39 Item 20 .54 Cronbach’s Alpha .879 Extraction Method: Principal Component Analysis RQ: How do self-victimization and resilience contribute to student engagement and success in online courses? Main Findings The following section presents the study’s primary inferential results. Cross-tabulation, Chi-Square tests, Correlation, and Regression were employed to examine the relationships between variables using SPSS. Resilience, Student Engagement, and Academic Performance The mean resilience score was 4.99 out of 7.0 (N = 307, SD = 1.60), indicating a relatively high level of resilience within the sample. Crosstabulation was conducted using SPSS to analyze the relationship between participants’ current CGPA and self-reported resilience levels. Table 5 shows a cross-tabulation of resilience levels, as measured by the Brief Resilience Scale (Smith, 2022), and participants’ current cumulative grade point average (CGPA). The findings revealed a clear trend between higher resilience and academic performance. The findings indicate that participants with Very High (N = 49) and High (N = 101) resilience levels disproportionately achieve higher CGPAs, with 23 and 44 students, respectively, earning a perfect 4.0 CGPA. In contrast, lower resilience levels (Very Low and Low) are linked to fewer students in the higher CGPA brackets; for instance, only two students with Very Low resilience have a CGPA between 3.5 and 4.0 (see Table 5 for details). Furthermore, a Chi-Square Test of Independence was conducted to evaluate the significance of the association (e.g., χ² = 43.46, df = 30, p = .05), indicating that resilience and CGPA are interdependent. Table 5 Resilience and Current CGPA Resilience Very low Low Medium Low Medium Medium High High Very high Current CGPA Below2.0 CGPA 0 1 2 0 0 1 0 2.0 - 2.4 CGPA 0 3 4 2 5 5 1 2.5 - 2.9 CGPA 1 2 5 3 3 3 2 3.0 - 3.4 CGPA 3 4 7 5 4 16 4 3.5 - 3.9 CGPA 1 6 11 13 21 32 19 4.0 CGPA 1 8 4 15 23 44 23 Total 6 24 33 38 56 101 49 Resilience scale guidelines (Smith, 2022) As shown in Table 6, the association between students’ resilience and engagement (measured as online classes) was examined through cross-tabulation. The findings show that participants with High (N = 101) and Very High (N = 49) resilience predominate in low to moderate engagement (e.g., 1–2 classes: 34 and 12; 6–10: 26 and 17), comprising 48.9% of the sample, while Very Low (N = 6) and Low (N = 24) show dispersed patterns, with 66.7% of Very Low students attending 21+ classes. A Chi-Square Test of Independence yielded a marginally significant result (χ² = 56.49, df = 30, p = 0.002), suggesting a trend where resilience influences engagement. Cramer’s V = 0.19 indicates a small effect, with higher resilience linked to consistent moderate participation (76% of High at 1–10 classes), supporting resilience’s role in sustaining effort. The unexpected peak at 21+ classes for Very Low resilience may reflect over-engagement or sampling bias, given its small size (N = 6). Table 6 Resilience and Engagement Resilience Very low Low Medium low Medium Medium high High Very high Engagement (number of online classes) 1-2 1 7 13 10 22 34 12 3-5 1 7 5 6 9 16 10 6-10 0 4 10 11 12 26 17 11-15 0 5 4 2 3 12 5 16-20 0 0 1 6 4 7 2 21 or more classes 4 1 0 3 6 6 3 Total 6 24 33 38 56 101 49 Resilience scale guidelines (Smith, 2022) Self-Victimization, Student Engagement, and Academic Performance Table 7 outlines the descriptive statistics for the 20 items of the self-victimization scale, with means ranging from 2.04 (Item 2) to 3.67 (Item 12) and standard deviations (SDs) between 0.82 (Item 19) and 1.23 (Item 20), indicating moderate variability in responses. Skewness values vary from -0.39 (Item 12) to 0.91 (Item 9), with Item 1 (mean = 2.39, skewness = 0.69). The data reflect a generally neutral to slightly positive tendency toward self-victimization across the sample, with higher means in moral elitism (M = 3.08), indicating that students have endorsed items related to perceiving themselves as morally superior. In contrast, the perception of unfairness (M = 2.31) has the lowest average, implying that participants are less likely to attribute their experiences to a globally unfair world. Table 7 Descriptive Statistics Of 20 Items of The Self-Victimization Scale Items Mean (SD) Skewness External attribution Item 1 2.39 (1.09) .69 Item 2 2.04 (.87) .61 Item 3 2.10 (1.09) .77 Item 4 2.55 (1.02) .33 Need for recognition Item 5 3.28 (1.18) -.36 Item 6 2.80 (.99) .18 Item 7 2.60 (1.10) .189 Item 8 2.68 (1.09) .18 Moral elitism Item 9 2.05 (.96) .91 Item 10 2.99 (.93) -.23 Item 11 2.72 (1.21) .21 Item 12 3.67 (1.03) -.39 Rumination Item 13 2.42 (1.13) .45 Item 14 2.36 (1.11) .65 Item 15 2.39 (1.21) -.14 Item 16 2.04 (1.16) .66 Perception of unfairness Item 17 2.10 (1.06) .11 Item 18 2.55 (1.09) .12 Item 19 3.28 (.82) .63 Item 20 2.80 (1.23) -.00 Table 8 shows the correlation coefficients between age, education, number of online classes, current CGPA, and self-victimization. Age shows a moderate positive correlation with education (r = 0.307, p < 0.01) and CGPA (r = 0.238, p < 0.01) but a negative correlation with self-victimization (r = -0.242, p < 0.01), suggesting older students tend to have higher education and grades but lower victimhood tendencies. Education is strongly positively correlated with CGPA (r = 0.299, p < 0.01), indicating that higher educational attainment is associated with better academic performance, while self-victimization has a weak negative correlation with CGPA (r = -0.125, p < 0.05), implying that increased self-victimization may slightly hinder success. Notably, the students’ engagement (the number of online classes) shows no significant correlations with other variables (all p > 0.05), highlighting its independence from age, education, CGPA, and self-victimization in this sample. Discussion and Implications for Practice The study results indicate that students with higher levels of resilience also have higher levels of academic performance. Similarly, students with higher levels of self-victimization had lower levels of academic performance. These findings suggest that students who are more resilient and less inclined to self-victimization will perform better academically. It should be noted that a substantial number of participants were pursuing undergraduate degrees (56%) and between the ages of 41 and 45 years (24.8%) at the time of the study. The results also indicated that among those with tendencies toward self-victimization, moral elitism was the highest reported, while a perception of unfairness was the lowest reported. Thus, even among those exhibiting self-victimization, the perception of a generally unfair world was minimal. These results provide valuable insight for online educators. Efforts are continually made to improve and enhance the educational environment and resources available to students. However, these results also highlight the importance of promoting resilience among students. Online educators should work to reinforce the importance of resilience, accountability, and self-awareness in the educational environment. Such characteristics can benefit students not only in their academic achievement, but also in their personal and professional lives. Encouraging and even expecting students to take greater levels of ownership and accountability in their academic success can be mutually beneficial, improving student success and reducing faculty burnout. Important considerations should be made in any discussion of resilience or promoting resilience among individuals. While the term resilience carries a positive connotation, the act of being resilient must necessarily occur during difficulties, challenges, and adversity. Therefore, students who are resilient, or who are learning to become more resilient, will not necessarily feel resilient while facing difficulty and practicing resilience. As discussed by Dr. Becky Kennedy, the gap between not knowing and knowing, described as “the learning space,” will likely produce feelings of discomfort and frustration (The Daily Coach, 2025). Online educators should work to remind students of this concept, and that learning is part of the educational process. While this may seem obvious, continued advancements in technology and the instantaneous nature of online environments can eclipse the recognition of processes that occur more slowly and require greater personal effort, such as learning and building resilience. Emphasis should be placed on the fact that these are all learned behaviors that can be changed. It is possible for students to increase their individual levels of accountability, self-awareness, and resilience. Similarly, they can learn to decrease their individual levels of self-victimization, discomfort, and frustration. In addition, students who can recognize this frustration as a part of the learning process can avoid misdirecting frustration as hostilities toward their professors. A better understanding of this learning process and the importance of resilience as an indicator of academic success, among both educators and students, can promote a more positive and productive environment in online education. Limitations and Recommendations for Future Studies This study was limited to students currently enrolled at Purdue University Global within the College of Social and Behavioral Sciences and the School of Health Sciences. In addition, the results are based on self-reported data, which can impact data accuracy. While sufficient for the purposes of this study, the sample size was also a limitation of the study. Demographic data were collected regarding the degree program in which participants were enrolled. However, a comparison between these groups as part of the data analysis was not possible due to the sample size. Future research should explore which types of degree programs are represented by the most resilient students, as this could provide valuable insight. Finally, student engagement was determined based on the number of courses participants had taken, which does not account for those who may be at the start of their educational programs. This study would have benefited from data collected to include the time participants were enrolled in their programs in calendar months or years. Future research should explore a larger sample with wider demographic parameters. In addition, longitudinal studies could provide valuable insights into how levels of resilience, self-victimization, and academic success change as students progress through their academic programs. Additional research focused on the ways in which students utilize skills associated with resilience can be beneficial, as can research that explores student experiences of resilience during times of difficulty, challenges, and adversity. Qualitative research focused on how students implement skills associated with resiliency could provide practical recommendations for others. Increased knowledge and understanding of the ways in which online educators should facilitate and promote student resilience while reducing tendencies toward self-victimization can help to produce more positive outcomes and student success in online education. Conclusion This study explored how self-victimization and resilience affect student engagement and success in online courses. The findings indicated a relatively high level of resilience among participants. They also demonstrated a generally neutral to slightly positive inclination towards self-victimization across the sample, with higher averages in moral elitism. In contrast, the perception of unfairness registers the lowest average, suggesting that participants are less inclined to attribute their experiences to a globally unfair world. Furthermore, cross-tabulation and Chi-square analyses have shown that higher levels of resilience are significantly associated with students’ engagement in online classes and better academic performance (higher CGPA). The findings also show a weak yet significant negative correlation between self-victimization and participants’ academic success (measured as CGPA), suggesting that increased self-victimization may subtly erode academic performance by fostering a mindset of blame or helplessness that hinders learning. Declarations Data Availability The datasets generated and/or analyzed during the current study are not publicly available due to participant privacy and anonymity, but are available from the corresponding author on reasonable request. The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. Ethical Approval The protocol was approved by Purdue University Global Institutional Review Board/Protocol #IRB-2024-0000304 in accordance with the Department of Health and Human Services Regulations for the Protection of Human Subjects (45 CFR 46), and is in compliance with this institution’s Federal Wide Assurance 00010056. All procedures performed in studies involving human participants were in accordance with the ethical standards of the Purdue University Global Institutional Review Board. Consent to Participate Informed consent was obtained from all individual participants involved in the study. Clinical trial number: not applicable. Consent to Publish Not applicable Funding The author(s) received no financial support for the research, authorship, and/or publication of this article. Author Contributions All authors conceived of the presented idea. The authors worked collaboratively to develop the literature, collect the data, and perform the computations. The authors verified the analytical method through individual investigation and then discussed and validated the findings of this work. All authors discussed the results and contributed to the preparation of the final manuscript. References Ali, M., Ashraf, B., & Shuai, C. (2019). Teachers' conflict-inducing attitudes and their repercussions on students' psychological health and learning outcomes. International Journal of Environmental Research and Public Health, 16 (14), 2534. https://doi.org/10.3390/ijerph16142534 Bittmann, F. (2021). When problems just bounce back: About the relation between resilience and academic success in German tertiary education. SN Social Sciences, 1(2). https://doi.org/10.1007/s43545-021-00060-6 Costello, M. A., Nagel, A. G., Hunt, G. L., Rivens, A. J., Hazelwood, O. A., Pettit, C., & Allen, J. P. (2022). Facilitating connection to enhance college student well‐being: Evaluation of an experiential group program. American Journal of Community Psychology, 70 (3-4), 314–326. https://doi.org/10.1002/ajcp.12601 Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). SAGE Publications, Inc. Gabay, R., Hameiri, B., Rubel-Lifschitz, T., & Nadler, A. (2020). The tendency for interpersonal victimhood: The personality construct and its consequences. Personality and Individual Differences, 165 , 110134. https://doi.org/10.1016/j.paid.2020.110134 Geary, D. C., & Xu, K. M. (2022). Evolution of self-awareness and the cultural emergence of academic and non-academic self-concepts. Educational Psychology Review, 34 (4), 2323–2349. https://doi.org/10.1007/s10648-022-09669-2 Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40 , 414-433. https://doi.org/10.1007/s11747-011-0261-6 Holdcroft, B. (2014, April 11). Student incivility, intimidation, and entitlement in academia. American Association of University Professors. https://www.aaup.org/article/student-incivility-intimidation-and-entitlement-academia Jaakkola, N., Karvinen, M., Hakio, K., Wolff, L.-A., Mattelmäki, T., & Friman, M. (2022). Becoming self-aware—how do self-awareness and transformative learning fit in the sustainability competency discourse? Frontiers in Education, 7 . https://doi.org/10.3389/feduc.2022.855583 Jacobs, E., & Keegan, R. J. (2022). Sustaining optimal performance when the stakes could not be higher: Emotional awareness and resilience in emergency service personnel (with learnings for elite sport). Frontiers in Psychology , 13 . https://doi.org/10.3389/fpsyg.2022.891585 Kotronoulas, G., Miguel, S., Dowling, M., Fernández-Ortega, P., Colomer-Lahiguera, S., Bağçivan, G., Pape, E., Drury, A., Semple, C., Dieperink, K. B., & Papadopoulou, C. (2023). An overview of the fundamentals of data management, analysis, and interpretation in quantitative research. Seminars in Oncology Nursing, 39 (2), 151398. https://doi.org/10.1016/j.soncn.2023.151398 Kedia, P., & Mishra, L. (2023). Exploring the factors influencing the effectiveness of online learning: A study on college students. Social Sciences & Humanities Open, 8 (1), 100559. https://doi.org/10.1016/j.ssaho.2023.100559 Kelly, J. D. (2019). Your best life: Managing negative thoughts—the choice is yours. Clinical Orthopaedics & Related Research, 477 (6), 1291–1293. https://doi.org/10.1097/corr.0000000000000791 Lawrence, E., Dunn, M. W., & Weisfeld-Spolter, S. (2018). Developing leadership potential in graduate students with assessment, self-awareness, reflection and coaching. Journal of Management Development , 37 (8), 634–651. https://doi.org/10.1108/jmd-11-2017-0390 Makhambetova, A., Zhiyenbayeva, N., & Ergesheva, E. (2021). Personalized learning strategy as a tool to improve academic performance and motivation of students. International Journal of Web-Based Learning and Teaching Technologies , 16 (6), 1–17. https://doi.org/10.4018/ijwltt.286743 Mwita, K. (2022). Factors influencing data saturation in qualitative studies. International Journal of Research in Business and Social Science (2147- 4478), 11 (4), 414–420. https://doi.org/10.20525/ijrbs.v11i4.1776 Patrick, B., & Rollins, A. C., Jr. (2016). Shifting the blame in public education: Are there parallels between opinion and policy? Journal of Public Management & Social Policy , 23 (2). http://digitalscholarship.tsu.edu/jpmsp/vol23/iss2/5 Smith, B. W., Dalen, J., Wiggins, K., Tooley, E., Christopher, P., & Bernard, J. (2008). The brief resilience scale: Assessing the ability to bounce back. International Journal of Behavioral Medicine , 15 (3), 194–200. https://doi.org/10.1080/10705500802222972 Sutton, A. (2016). Measuring the effects of self-awareness: Construction of the self-awareness outcomes questionnaire. Europe's Journal of Psychology , 12 (4), 645–658. https://doi.org/10.5964/ejop.v12i4.1178 Tang, Y., & He, W. (2023). Relationship between emotional intelligence and learning motivation among college students during the COVID-19 pandemic: A serial mediation model. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1109569 The Daily Coach, (February 19, 2025). The messy, beautiful truth about resilience with Dr. Becky Kennedy: “What does resilience feel like?” https://www.thedaily.coach/p/the-messy-beautiful-truth-about-resilience-with-dr-becky-kennedy Tu, X. (2021). The role of classroom culture and psychological safety in efl students' engagement. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.760903 Wicklund, R. A. (2008). Objective self-awareness. In Advances in experimental social psychology (pp. 233–275). Elsevier. https://doi.org/10.1016/s0065-2601(08)60252-x Williams, B., Onsman, A., & Brown, T. (2010). Exploratory factor analysis: A five-step guide for novices. Australasian Journal of Paramedicine, 8 , 1-13. https://doi.org/10.33151/ajp.8.3.93 Yang, A., & McDonnell, L. (2024). Student definitions of ownership and perceived ways ownership influences writing in a biology laboratory class. Journal of Microbiology & Biology Education , 25 (1), e0019723. https://doi.org/10.1128/jmbe.00197-23 Zeier, P., Sandner, M., & Wessa, M. (2019). Emotion regulation in the face of stress - investigating reappraisal inventiveness as a potential resilience mechanism. Psychoneuroendocrinology , 100 , S5. https://doi.org/10.1016/j.psyneuen.2018.12.034 Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 05 Feb, 2026 Reviews received at journal 29 Jan, 2026 Reviewers agreed at journal 19 Jan, 2026 Reviews received at journal 18 Dec, 2025 Reviewers agreed at journal 17 Dec, 2025 Reviewers invited by journal 16 Dec, 2025 Editor invited by journal 02 Dec, 2025 Editor assigned by journal 27 Nov, 2025 Submission checks completed at journal 17 Nov, 2025 First submitted to journal 17 Nov, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Dinkins¹","email":"data:image/png;base64,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","orcid":"","institution":"Purdue University Global","correspondingAuthor":true,"prefix":"","firstName":"Brandon","middleName":"L.","lastName":"Dinkins¹","suffix":""},{"id":570388760,"identity":"9c93d6bd-b538-4869-8981-825aea2119f2","order_by":1,"name":"Tecoye E. Dinkins²","email":"","orcid":"","institution":"Purdue University Global","correspondingAuthor":false,"prefix":"","firstName":"Tecoye","middleName":"E.","lastName":"Dinkins²","suffix":""},{"id":570388761,"identity":"ec67f50a-0299-4758-a966-7f84154cbe60","order_by":2,"name":"Mary K. Lannon³","email":"","orcid":"","institution":"Purdue University Global","correspondingAuthor":false,"prefix":"","firstName":"Mary","middleName":"K.","lastName":"Lannon³","suffix":""}],"badges":[],"createdAt":"2025-09-23 15:38:24","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7696094/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7696094/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":99796885,"identity":"846c0fae-5940-4713-89b4-cef1a72a2521","added_by":"auto","created_at":"2026-01-08 13:43:52","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1063236,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7696094/v1/a48a0e5f-c946-455e-b44a-f6489d6279a9.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Encouraging Student Proficiency through Adversity: Cultivating Resilience to Overcome a Victim Mindset","fulltext":[{"header":"Introduction","content":"\u003cp\u003eMany educators provide a holistic application of academic growth through emotional, social, and cognitive encouragement. Often, their creativity in the classroom transcends many negative components that disrupt and prevent effective learning. In higher education, instructors act even more as academic facilitators and help to build a strong foundation in their respective disciplines. These actions help instill confidence and equip students to encounter the complexities of a competitive and talented workplace and society. Although many encounters with students are positive and promote aspects of job satisfaction and appreciation, many student interactions can include professors being blamed for the student\u0026rsquo;s own lack of academic performance. This can create challenges, prohibit students from reaching their full potential, and cause professors to disproportionately allocate intellectual energy to dealing with disruption and criticism. Understanding how to set expectations and student responsibility is an essential aspect of positively impacting students\u0026rsquo; educational journeys. Therefore, students must possess self-awareness and resilience, seek support, and build empowerment through action.\u0026nbsp;\u003c/p\u003e\n\n\u003ch3\u003eProblem Statement\u003c/h3\u003e\n\u003cp\u003eStudents come from all walks of life, and with universal access to education, all are afforded the opportunity to pursue education. This diversity establishes many intellectual benefits to the learning environment and exposes students to different experiences and circumstances that can shape aspirations for student success. However, accountability and the desire to overcome challenges through a consistent work ethic can enable mental resilience to persevere through many different difficult educational situations. Mutual accountability is paramount, and teachers must also provide an environment that shapes and cultivates that learning experience. Building resilience, self-awareness, and realistic goals can provide the foundation for students\u0026rsquo; success and accountability in their own academic achievements.\u0026nbsp;\u003c/p\u003e\n"},{"header":"Review of the Literature","content":"\u003cp\u003eThe notion of shaping personal attitudes through the process of cognitive patterns is the underlying foundation of establishing victim mentality (Andronnikova \u0026amp; Kudinov, 2021). Many students can easily become overwhelmed by educational requirements and shift focus to identifying reasons that they cannot succeed, rather than seeking methods to overcome those barriers and challenges. Overcoming these cognitive influences may be difficult without the proper support and resources. Therefore, teachers must identify methods to develop resilient strategies and, in many ways, provide some direct individualized concepts to improve confidence. To improve the learning process, specific student needs must be addressed (Zhiyenbayeva \u0026amp; Ergesheva, 2021). Personal improvement relies on some degree of self-awareness to understand academic limitations and seek out meaningful actions for improvement.\u0026nbsp;\u003c/p\u003e\n"},{"header":"Theoretical Framework","content":"\u003cp\u003eRecent studies have integrated theoretical principles of the Objective Self-Awareness Theory to understand crucial aspects of personal motivations (Geary \u0026amp; Zu, 2022; Jaakkola et al., 2022). These studies aimed to improve self-awareness to positively transform the learning environment. Wicklund (1975) presented the Objective Self-Awareness Theory as conscious attention that is focused within or outward toward a person\u0026rsquo;s surrounding environment. This theoretical underpinning aligns with the focus on developing interpersonal and extrapersonal strategies to build competencies for positive and objective awareness (Wicklund, 1975). This focus provides cognitive introspection for students who may not understand how their mentality can diminish academic performance. Some situational and environmental factors may influence a student\u0026apos;s ability to problem-solve and negatively impact their resiliency. This includes peer interaction, family support, social media use, and instructor-student interactions (Kedia \u0026amp; Lokanath). This theoretical lens allows for an exploration of concepts related to proactive thinking and balancing tendencies of self-victimization to understand operative methods for improving student effectiveness in the course room.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSelf-Awareness\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eBeing critically aware of personal deficiencies and recognizing behavior patterns is critical to overcoming challenges. These challenges coincide with the unique impacts of academic performance and the ability to pursue progressive changes to reduce cognitive limitations. Having the capacity to overcome these challenges also relies on students\u0026apos; abilities to assess past experiences to align efforts to achieve a preparedness mindset. Being able to reflect allows a person to experience things openly and aids in a person\u0026rsquo;s ability to reflect objectively (Sutton, 2016). This reflection allows for identifying patterns of behavior and weaknesses in their learning process. Taking consistent steps toward deliberate action to accomplish a consistent practice of self-awareness is a primary component of eliminating victim mentality.\u003c/p\u003e\n\u003cp\u003eA study conducted by Patrick and Rollins (2016) found that many people do not attribute substandard educational outcomes to teachers or the school. Still, their results indicated that most of the participants\u0026apos; responses identified students as the most accountable for their own academic outcomes. Shifting blame\u0026nbsp;can often be a characteristic of an underperforming student. Although instructors and professors have the overall responsibility to shape the learning environment and meet course objectives, there are realistic expectations for students to build strong competencies and confidence in their personal growth and navigate their educational journey. Additionally, students still maintain a level of accountability and must seek out opportunities to improve their performance and their capacity to achieve in any situation. This level of adaptability is needed in high-performing occupations (Jacobs \u0026amp; Keegan, 2022) such as public safety and healthcare.\u003c/p\u003e\n\u003cp\u003eEmpirical evidence has\u0026nbsp;shown that informing students about self-awareness can enhance their ability to reflect on their leadership propensity and provide an opportunity to demonstrate effective teamwork (Lawrence et al., 2018). Having a degree of control and the capability to be aware of one\u0026rsquo;s emotions and judgments to break patterns that spur thoughts of failure and shifting blame is a primary aspect of disrupting negative thinking (Kelly, 2019). This mentality creates the ability to empower action and take responsibility to create a sense of control, even when dealing with difficult circumstances. Emotional regulation can serve as an intervention method to build personal resilience (Zeier et al., 2019). Cognitive control may present opportunities to reduce a student\u0026rsquo;s likelihood of shifting blame when self-induced expectations are not met and goals are not achieved. College students with higher levels of emotional intelligence may experience improved self-efficacy and have a higher perception of social support, which may subsequently lead to their motivation to learn (Tang \u0026amp; He, 2023). Having the cognitive capacity to endure difficult circumstances and overcome these situations with positive responses and behaviors can be a learned experience (Kelly, 2019). Therefore, it is vital to integrate behavioral reflection components to spur critical thought and accountability for meeting course goals.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eIntrinsic Motivation and Ownership\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;Depending on the student and the course, the level of motivation may change (Yang \u0026amp; McDonnell, 2024). Although extrinsic factors play a role in education as well, intrinsic motivational factors may add an additional understanding of what pushes a student to do well in school. Findings from a study completed by Yang and McDonnell (2024) emphasized that there was an increase in motivation when the students perceived they had ownership in their writing. The authors posit that ownership can include aspects such as a level of responsibility, commitment, and connection to the work, and positive or negative emotions (Yang \u0026amp; McDonnell, 2024). \u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eBuilding Resilience\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eEmotional intelligence and resilience can be critical aspects of learning and shaping cognitive functions to expand knowledge. Tang and He (2023) found that emotional intelligence positively predicts student learning motivation. Resiliency is a fundamental pillar of many academic components that allow for student success. Research has shown that students who possess a higher level of resilience produce positive academic outcomes, such as having a high success rate and a lower probability of dropping out of school (Bittman, 2021). This mental ability can help students seek out information and have the presence of mind to develop strategies to build formidable academic progression throughout many different classes. Faculty can help students build these essential skills through deliberate development and integration of educational compensatory strategies. This can include building connectedness among faculty and students, which can provide indirect influences on students who struggle by sharing personal experiences and challenges.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eStudents may feel like their situation is unique. However, several students may experience similar circumstances and situations, and sharing those experiences can help reduce anxiety and better diagnose challenging situations (Costello et al., 2022). Contemporary challenges can further impact the lives of students. In an online environment, students may not have a strong academic support network and may have limited communication with peers. This interconnectedness can help influence perspectives through peer conversations and advice. Some moments of isolation can limit a sense of belonging, which can unintentionally influence isolation. This sense of community can provide some emotional stability, at least in academics, to provide key concepts for developing resilience.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eStudents must establish realistic expectations and goals and keep a positive outlook to overcome adversity. Steadily integrating these practices can help students cope with challenges in the learning process and create a strong resilience foundation. In addition, students must be able to develop academic skills through deliberate practice. Finally, a student who possesses the needed coping skills to lower stress can better overcome challenges (Albourzkouh et al., 2015). These concepts can be complex, and many aspects are driven by student participation and academic culture. However, in many cases, these aspects are also based on individual traits of students and professors, which can produce a myriad of corresponding outcomes.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcademic Hostilities\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eSome instructors may encounter situations in which students lack the motivation and competencies to overcome obstacles throughout their academic journey. In many of these situations, students misdirect their hostilities toward professors as a result. Holdcroft (2014) explained that university faculty can encounter bullying related to student grades, especially those members who are women, and the bullying is most often conducted by male students. These hostilities can have a detrimental impact on the learning process and negatively affect the environment. Student and faculty dynamics are a critical factor for academic success, and that relationship is necessary to assist student growth and development with course content. Psychological exposure to prolonged hostile acts and disputes can reduce academic development and may create stress that impacts success in the course room. This impact creates the need for coping strategies to enhance the quality of education. This can occur through building supportive concepts and mutual dignity that foster a culture of respect and success (Tu, 2021).\u003c/p\u003e\n\u003cp\u003eFaculty can also negatively affect student academic performance and psychological health with conflict-inducing attitudes (Ali et al., 2019). These negative attitudes can create an environment that lacks support and is overly critical of students and their work. For instance, instructors who present overly harsh criticism without a constructive component for improvement through feedback can be a destructive aspect of the student experience and reduce participation. In addition, public criticism through online settings may limit student interactions and reduce classroom engagement, negatively impacting the learning experience. In synchronous seminars, these critical aspects can also be presented in other passive ways, such as dismissive comments and displaying a lack of empathy. This can lead to awkward interactions in the course room and any interpersonal discussions that may occur through email or in person outside of the learning environment. Negative behavior can reduce the performance, morale, and success of the student-teacher relationship (Ali et al., 2019).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePurpose Statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis quantitative study was conducted to explore how awareness of emotional and cognitive influences impacts victim mentality among students and to understand how these components correspond to student performance. This exploration was driven by quantitative methods aimed at understanding student experiences in academic achievement, classroom engagement, and online interpersonal interactions. The aim of the study was to contribute to institutional competencies in academia through the recognition of associative connections between self-victimization and resilience in order to improve student success. Participants in this study were students at Purdue University Global. The study was conducted through the theoretical lens of the Objective Self-Awareness Theory to explore student success related to resilience and victim mentality.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResearch Question\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe following research question was developed to guide the study:\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eRQ:\u003c/strong\u003e How do self-victimization and resilience contribute to student engagement and success in online courses?\u003c/p\u003e\n\u003cp\u003eThe data collection provided a method of analysis to understand the psychosocial factors that correlate to the potential for victim mentality to produce methods to address the negative influences. The methods also helped to define the appropriate measures that can influence positive change to reduce negative student engagement and achievement. In addition, the measures informed education promotion and resilience programs in online settings.\u0026nbsp;\u003c/p\u003e"},{"header":"Research Methods","content":"\u003cp\u003eThis research utilized a quantitative approach to explore the necessary components for building student proficiency to help overcome experiences associated with victim mentality in online education. Data was collected anonymously via an online survey to determine the extent to which students reported levels of resilience, victim mentality, academic success, and course engagement. The purpose was to identify key concepts to improve student and instructor actions to overcome these challenges. The focus was to understand and assess student resiliency.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eProcedure\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe participants for this research were students currently enrolled at Purdue University Global across all degree programs within the College of Social and Behavioral Sciences and the School of Health Sciences. In order to participate in the study, students were required to be 18 years of age or older. A recruitment email with a description of the research study and a link to the informed consent form was sent from a third party within the university to the participant population through the university email system. All data were collected and recorded using SurveyMonkey through quantitative surveys.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData Collection\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe survey instrument was derived from research conducted by Gabay et al. (2020), during which the Victim Mindset Test was developed to understand different psychological tendencies that correspond to victimhood. This rationale aligns with the pursuit of investigating how self-victimization in academia can impact student success. The Tendency for Interpersonal Victimhood (TIV) is also a concept that this study derives from exploring oneself as a victim across different relationships (Gabay et al., 2020), including those relationships that manifest in higher learning. The Brief Resilience Scale (BRS; Smith et al., 2008) was used to assess students\u0026rsquo; ability to recover from stress.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData Analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe quantitative data analysis was used to determine descriptive statistics and frequencies across the sample. This is valuable in providing focus areas for future research (Kotronoulas et al., 2023). Two aspects of quantitative analysis were employed for this study. Descriptive statistics help generate a detailed summary of the selected variables contained in the data sample (Kotronoulas et al., 2023). This included participant responses associated with victim mentality and resiliency. Second, inferential statistics examined the correlation between the variables and inferences within the data.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;Ethical Considerations\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eProtecting the privacy and confidentiality of all research participants is a critical aspect of research ethics (Creswell \u0026amp; Poth, 2018). Participants were provided a description of the study and required to provide informed consent prior to participating in the research. They were advised that their participation in the study was voluntary and that they could withdraw from the study prior to submitting their survey responses. All collected data were protected.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eNo distinguishing participant data was gathered that would reveal any personally identifiable information. Only those students who completed the informed consent form and agreed to participate in the study were included in the data collection. Informed consent was integrated into SurveyMonkey, which provided the ability to place a page before the survey where informed consent information is provided. Survey participants were able to read this information, and when they were ready, they could click \u0026ldquo;Yes\u0026rdquo; to move to the survey. If they did not wish to participate after reading this information, participants could click \u0026ldquo;No,\u0026rdquo; and the process ended, and they would not move to the survey.\u003c/p\u003e\n\u003cp\u003eThe records of this study are kept private. Any published records will not include any information that could identify a participant. Research records are stored securely, and only the researchers have access to them. Participant responses are anonymous and confidential. Data is stored on a password-locked computer and may be used in future presentations. After three years, all electronic records will be deleted.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003e\u003cstrong\u003eDemographic and Socioeconomic Details\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA total of 360 survey responses were received. Of these, 307 (85.28%) had no missing data.\u0026nbsp;As shown in Table 1, most participants (24.8%) were between 41 and 45 years of age, with smaller but notable proportions in the 25-30 years (21.8%) and 31-35 years (15.3%) groups. The degree level at which participants were enrolled was greatest at the bachelor level (56.0%), followed by the master level (19.9%) and doctoral level (11.1%). Similarly, the most common programs of study included applied behavior analysis (18.2%), psychology (13.7%), and health sciences (12.1%).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e1\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eDemographic \u0026amp; Socioeconomic Details\u003c/em\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariable\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFrequency\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePercentage\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" valign=\"top\" style=\"width: 616px;\"\u003e\n \u003cp\u003e\u003cem\u003eAge\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003e18-24 years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e8.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003e25-30 years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e21.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003e31-35 years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e15.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003e36-40 years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e13.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003e41-45 years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e24.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003e46-50 years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e13.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003e51-60 years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e3.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003e61+ years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e8.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" valign=\"top\" style=\"width: 616px;\"\u003e\n \u003cp\u003e\u003cem\u003eEducation\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003eAssociate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e7.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Bachelor \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e172\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e56.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003eMaster\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e19.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003eDoctoral\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e11.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003eCertificate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e5.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" valign=\"top\" style=\"width: 616px;\"\u003e\n \u003cp\u003e\u003cem\u003eCurrent academic program\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003eApplied behavior analysis\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e18.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003ePsychology\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e13.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003eHealth sciences\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e12.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003eHuman services\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e4.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003eOthers\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e157\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e51.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e307\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e100.0\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eAcademic Performance\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTable 2 shows an overview of the academic performance of the sample (N = 307), focusing on the current cumulative grade point average (CGPA) and the number of program courses attended. A substantial proportion of participants exhibit strong academic performance, with 38.4% achieving a perfect 4.0 CGPA and 33.6% falling within the 3.5-3.9 CGPA range. A smaller number of students reported lower CGPAs, with only 1.3% scoring below 2.0 and 6.5% in the 2.0 to 2.4 range. In terms of online classes, the majority (32.2%) have taken 1-2 classes, while a significant percentage (26.1%) have completed between 6-10 courses (see Table 2).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e2\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eAcademic Performance\u003c/em\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariable\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFrequency\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePercentage\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" valign=\"top\" style=\"width: 616px;\"\u003e\n \u003cp\u003e\u003cem\u003eCurrent CGPA\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003eBelow 2.0 CGPA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e1.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003e2.0 - 2.4 CGPA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e6.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003e2.5 - 2.9 CGPA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e6.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003e3.0 - 3.4 CGPA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e14.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003e3.5 - 3.9 CGPA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e103\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e33.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003e4.0 CGPA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e118\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e38.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" valign=\"top\" style=\"width: 616px;\"\u003e\n \u003cp\u003e\u003cem\u003eNumber of online classes\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003e1-2 classes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e32.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003e3-5 classes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e17.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003e6-10 classes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e26.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003e11-15 classes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e10.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003e16-20 classes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e6.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003e21 or more classes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e7.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 353px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 149px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e307\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e100.0\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eReliability and Factor Analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe factorability of the five \u003cem\u003eresilience\u003c/em\u003e scale items and the 20 \u003cem\u003eself-victimization\u003c/em\u003e scale items was analyzed using the Principal Component Analysis (PCA) extraction method in the Statistical Package for Social Sciences (SPSS). Each item on the resilience scale showed factor loading values exceeding the commonly accepted threshold of .70 (Hair et al., 2012; Williams et al., 2010). With a satisfactory Cronbach\u0026apos;s alpha value of .867 and high item loadings, the factor analysis for the resilience scale was considered appropriate for this research.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003cstrong\u003eTable\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e3\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eFactor Loadings of 5 Items of Resilience Scale\u003c/em\u003e\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eItems\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLoading\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003e\u003cem\u003eResilience\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.76\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.77\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.78\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.87\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.86\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCronbach\u0026rsquo;s Alpha\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e.867\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003cstrong\u003eExtraction Method: Principal Component Analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eSimilarly, 19 of the 20 items on the \u003cem\u003eself-victimization\u003c/em\u003e scale demonstrated factor loading values within the accepted range of .3 to .6. Only one item below the range of .3 (.277) was removed before the formal analysis. The Cronbach\u0026rsquo;s alpha value of the \u003cem\u003eself-victimization\u003c/em\u003e instrument was .879, as shown in Tables 3 and 4, which indicates a high level of internal consistency of the scale (Cicchetti, 1994).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e4\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eFactor Loadings of 20 Items of Self-Victimization Scale\u003c/em\u003e\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eItems\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLoading\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003e\u003cem\u003eExternal attribution\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.28\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.31\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.56\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.52\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003e\u003cem\u003eNeed for recognition\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.45\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.65\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.46\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.40\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003e\u003cem\u003eMoral elitism\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.35\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.63\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.62\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.62\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003e\u003cem\u003eRumination\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.65\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.56\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.60\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.49\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003e\u003cem\u003ePerception of unfairness\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.66\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.56\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.39\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003eItem 20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e.54\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 314px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCronbach\u0026rsquo;s Alpha\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 292px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e.879\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eExtraction Method: Principal Component Analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eRQ:\u003c/em\u003e\u003c/strong\u003e How do self-victimization and resilience contribute to student engagement and success in online courses?\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMain Findings\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe following section presents the study\u0026rsquo;s primary inferential results. Cross-tabulation, Chi-Square tests, Correlation, and Regression were employed to examine the relationships between variables using SPSS.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResilience, Student Engagement, and Academic Performance\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe mean resilience score was 4.99 out of 7.0 (N = 307, SD = 1.60), indicating a relatively high level of resilience within the sample. Crosstabulation was conducted using SPSS to analyze the relationship between participants\u0026rsquo; current CGPA and self-reported resilience levels. Table 5 shows a cross-tabulation of resilience levels, as measured by the \u003cem\u003eBrief Resilience Scale\u003c/em\u003e (Smith, 2022), and participants\u0026rsquo; current cumulative grade point average (CGPA). The findings revealed a clear trend between higher resilience and academic performance. The findings indicate that participants with Very High (N = 49) and High (N = 101) resilience levels disproportionately achieve higher CGPAs, with 23 and 44 students, respectively, earning a perfect 4.0 CGPA. In contrast, lower resilience levels (Very Low and Low) are linked to fewer students in the higher CGPA brackets; for instance, only two students with Very Low resilience have a CGPA between 3.5 and 4.0 (see Table 5 for details). Furthermore, a Chi-Square Test of Independence was conducted to evaluate the significance of the association (e.g., \u0026chi;\u0026sup2; = 43.46, df = 30, \u003cem\u003ep\u003c/em\u003e = .05), indicating that resilience and CGPA are interdependent.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e5\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eResilience and Current CGPA\u003c/em\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"101%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u003cem\u003eResilience\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11px;\"\u003e\n \u003cp\u003eVery low\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003eLow\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003eMedium Low\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10px;\"\u003e\n \u003cp\u003eMedium\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 16px;\"\u003e\n \u003cp\u003eMedium High\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003eHigh\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12px;\"\u003e\n \u003cp\u003eVery high\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"8\" valign=\"top\" style=\"width: 100px;\"\u003e\n \u003cp\u003e\u003cem\u003eCurrent CGPA\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003eBelow2.0 CGPA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 16px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e2.0 - 2.4 CGPA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 16px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e2.5 - 2.9 CGPA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 16px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e3.0 - 3.4 CGPA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 16px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e3.5 - 3.9 CGPA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10px;\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 16px;\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12px;\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e4.0 CGPA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10px;\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 16px;\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12px;\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e6\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e24\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e33\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e38\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 16px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e56\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e101\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e49\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eResilience scale guidelines (Smith, 2022)\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAs shown in Table 6, the association between students\u0026rsquo; resilience and engagement (measured as online classes) was examined through cross-tabulation. The findings show that participants with \u003cem\u003eHigh\u003c/em\u003e (N = 101) and \u003cem\u003eVery High\u003c/em\u003e (N = 49) resilience predominate in low to moderate engagement (e.g., 1\u0026ndash;2 classes: 34 and 12; 6\u0026ndash;10: 26 and 17), comprising 48.9% of the sample, while \u003cem\u003eVery Low\u003c/em\u003e (N = 6) and \u003cem\u003eLow\u003c/em\u003e (N = 24) show dispersed patterns, with 66.7% of \u003cem\u003eVery Low\u003c/em\u003e students attending 21+ classes. A Chi-Square Test of Independence yielded a marginally significant result (\u0026chi;\u0026sup2; = 56.49, df = 30, p = 0.002), suggesting a trend where resilience influences engagement. Cramer\u0026rsquo;s V = 0.19 indicates a small effect, with higher resilience linked to consistent moderate participation (76% of High at 1\u0026ndash;10 classes), supporting resilience\u0026rsquo;s role in sustaining effort. The unexpected peak at 21+ classes for \u003cem\u003eVery Low\u003c/em\u003e resilience may reflect over-engagement or sampling bias, given its small size (N = 6).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e6\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eResilience and Engagement\u003c/em\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"101%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u003cem\u003eResilience\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11px;\"\u003e\n \u003cp\u003eVery low\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003eLow\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003eMedium low\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10px;\"\u003e\n \u003cp\u003eMedium\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 16px;\"\u003e\n \u003cp\u003eMedium high\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003eHigh\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12px;\"\u003e\n \u003cp\u003eVery high\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"8\" valign=\"top\" style=\"width: 100px;\"\u003e\n \u003cp\u003e\u003cem\u003eEngagement (number of online classes)\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e1-2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10px;\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 16px;\"\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12px;\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e3-5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 16px;\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12px;\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e6-10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10px;\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 16px;\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12px;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e11-15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 16px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e16-20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 16px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e21 or more classes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 16px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e6\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e24\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e33\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e38\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 16px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e56\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e101\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e49\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eResilience scale guidelines (Smith, 2022)\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSelf-Victimization, Student Engagement, and Academic Performance\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTable 7 outlines the descriptive statistics for the 20 items of the self-victimization scale, with means ranging from 2.04 (Item 2) to 3.67 (Item 12) and standard deviations (SDs) between 0.82 (Item 19) and 1.23 (Item 20), indicating moderate variability in responses. Skewness values vary from -0.39 (Item 12) to 0.91 (Item 9), with Item 1 (mean = 2.39, skewness = 0.69). The data reflect a generally neutral to slightly positive tendency toward self-victimization across the sample, with higher means in moral elitism (M = 3.08), indicating that students have endorsed items related to perceiving themselves as morally superior. In contrast, the perception of unfairness (M = 2.31) has the lowest average, implying that participants are less likely to attribute their experiences to a globally unfair world.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e7\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eDescriptive Statistics Of 20 Items of The Self-Victimization Scale\u003c/em\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 207px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eItems\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 204px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMean (SD)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 193px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSkewness\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" valign=\"top\" style=\"width: 604px;\"\u003e\n \u003cp\u003e\u003cem\u003eExternal attribution\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 207px;\"\u003e\n \u003cp\u003eItem 1\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 204px;\"\u003e\n \u003cp\u003e2.39 (1.09)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 193px;\"\u003e\n \u003cp\u003e.69\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 207px;\"\u003e\n \u003cp\u003eItem 2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 204px;\"\u003e\n \u003cp\u003e2.04 (.87)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 193px;\"\u003e\n \u003cp\u003e.61\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 207px;\"\u003e\n \u003cp\u003eItem 3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 204px;\"\u003e\n \u003cp\u003e2.10 (1.09)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 193px;\"\u003e\n \u003cp\u003e.77\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 207px;\"\u003e\n \u003cp\u003eItem 4\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 204px;\"\u003e\n \u003cp\u003e2.55 (1.02)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 193px;\"\u003e\n \u003cp\u003e.33\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" valign=\"top\" style=\"width: 604px;\"\u003e\n \u003cp\u003e\u003cem\u003eNeed for recognition\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 207px;\"\u003e\n \u003cp\u003eItem 5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 204px;\"\u003e\n \u003cp\u003e3.28 (1.18)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 193px;\"\u003e\n \u003cp\u003e-.36\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 207px;\"\u003e\n \u003cp\u003eItem 6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 204px;\"\u003e\n \u003cp\u003e2.80 (.99)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 193px;\"\u003e\n \u003cp\u003e.18\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 207px;\"\u003e\n \u003cp\u003eItem 7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 204px;\"\u003e\n \u003cp\u003e2.60 (1.10)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 193px;\"\u003e\n \u003cp\u003e.189\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 207px;\"\u003e\n \u003cp\u003eItem 8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 204px;\"\u003e\n \u003cp\u003e2.68 (1.09)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 193px;\"\u003e\n \u003cp\u003e.18\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" valign=\"top\" style=\"width: 604px;\"\u003e\n \u003cp\u003e\u003cem\u003eMoral elitism\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 207px;\"\u003e\n \u003cp\u003eItem 9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 204px;\"\u003e\n \u003cp\u003e2.05 (.96)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 193px;\"\u003e\n \u003cp\u003e.91\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 207px;\"\u003e\n \u003cp\u003eItem 10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 204px;\"\u003e\n \u003cp\u003e2.99 (.93)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 193px;\"\u003e\n \u003cp\u003e-.23\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 207px;\"\u003e\n \u003cp\u003eItem 11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 204px;\"\u003e\n \u003cp\u003e2.72 (1.21)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 193px;\"\u003e\n \u003cp\u003e.21\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 207px;\"\u003e\n \u003cp\u003eItem 12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 204px;\"\u003e\n \u003cp\u003e3.67 (1.03)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 193px;\"\u003e\n \u003cp\u003e-.39\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" valign=\"top\" style=\"width: 604px;\"\u003e\n \u003cp\u003e\u003cem\u003eRumination\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 207px;\"\u003e\n \u003cp\u003eItem 13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 204px;\"\u003e\n \u003cp\u003e2.42 (1.13)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 193px;\"\u003e\n \u003cp\u003e.45\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 207px;\"\u003e\n \u003cp\u003eItem 14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 204px;\"\u003e\n \u003cp\u003e2.36 (1.11)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 193px;\"\u003e\n \u003cp\u003e.65\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 207px;\"\u003e\n \u003cp\u003eItem 15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 204px;\"\u003e\n \u003cp\u003e2.39 (1.21)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 193px;\"\u003e\n \u003cp\u003e-.14\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 207px;\"\u003e\n \u003cp\u003eItem 16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 204px;\"\u003e\n \u003cp\u003e2.04 (1.16)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 193px;\"\u003e\n \u003cp\u003e.66\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" valign=\"top\" style=\"width: 604px;\"\u003e\n \u003cp\u003e\u003cem\u003ePerception of unfairness\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 207px;\"\u003e\n \u003cp\u003eItem 17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 204px;\"\u003e\n \u003cp\u003e2.10 (1.06)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 193px;\"\u003e\n \u003cp\u003e.11\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 207px;\"\u003e\n \u003cp\u003eItem 18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 204px;\"\u003e\n \u003cp\u003e2.55 (1.09)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 193px;\"\u003e\n \u003cp\u003e.12\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 207px;\"\u003e\n \u003cp\u003eItem 19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 204px;\"\u003e\n \u003cp\u003e3.28 (.82)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 193px;\"\u003e\n \u003cp\u003e.63\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 207px;\"\u003e\n \u003cp\u003eItem 20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 204px;\"\u003e\n \u003cp\u003e2.80 (1.23)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 193px;\"\u003e\n \u003cp\u003e-.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eTable 8 shows the correlation coefficients between age, education, number of online classes, current CGPA, and self-victimization. Age shows a moderate positive correlation with education (r = 0.307, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.01) and CGPA (r = 0.238, p \u0026lt; 0.01) but a negative correlation with self-victimization (r = -0.242, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.01), suggesting older students tend to have higher education and grades but lower victimhood tendencies. Education is strongly positively correlated with CGPA (r = 0.299, p \u0026lt; 0.01), indicating that higher educational attainment is associated with better academic performance, while self-victimization has a weak negative correlation with CGPA (r = -0.125, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.05), implying that increased self-victimization may slightly hinder success. Notably, the students\u0026rsquo; engagement (the number of online classes) shows no significant correlations with other variables (all \u003cem\u003ep\u003c/em\u003e \u0026gt; 0.05), highlighting its independence from age, education, CGPA, and self-victimization in this sample.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n"},{"header":"Discussion and Implications for Practice","content":"\u003cp\u003eThe study results indicate that students with higher levels of resilience also have higher levels of academic performance. Similarly, students with higher levels of self-victimization had lower levels of academic performance. These findings suggest that students who are more resilient and less inclined to self-victimization will perform better academically. It should be noted that a substantial number of participants were pursuing undergraduate degrees (56%) and between the ages of 41 and 45 years (24.8%) at the time of the study. The results also indicated that among those with tendencies toward self-victimization, moral elitism was the highest reported, while a perception of unfairness was the lowest reported. Thus, even among those exhibiting self-victimization, the perception of a generally unfair world was minimal.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;These results provide valuable insight for online educators. Efforts are continually made to improve and enhance the educational environment and resources available to students. However, these results also highlight the importance of promoting resilience among students. Online educators should work to reinforce the importance of resilience, accountability, and self-awareness in the educational environment. Such characteristics can benefit students not only in their academic achievement, but also in their personal and professional lives. Encouraging and even expecting students to take greater levels of ownership and accountability in their academic success can be mutually beneficial, improving student success and reducing faculty burnout.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;Important considerations should be made in any discussion of resilience or promoting resilience among individuals. While the term resilience carries a positive connotation, the act of being resilient must necessarily occur during difficulties, challenges, and adversity. Therefore, students who are resilient, or who are learning to become more resilient, will not necessarily feel resilient while facing difficulty and practicing resilience. As discussed by Dr. Becky Kennedy, the gap between not knowing and knowing, described as \u0026ldquo;the learning space,\u0026rdquo; will likely produce feelings of discomfort and frustration (The Daily Coach, 2025). Online educators should work to remind students of this concept, and that learning is part of the educational process. While this may seem obvious, continued advancements in technology and the instantaneous nature of online environments can eclipse the recognition of processes that occur more slowly and require greater personal effort, such as learning and building resilience.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;Emphasis should be placed on the fact that these are all learned behaviors that can be changed. It is possible for students to increase their individual levels of accountability, self-awareness, and resilience. Similarly, they can learn to decrease their individual levels of self-victimization, discomfort, and frustration. In addition, students who can recognize this frustration as a part of the learning process can avoid misdirecting frustration as hostilities toward their professors. A better understanding of this learning process and the importance of resilience as an indicator of academic success, among both educators and students, can promote a more positive and productive environment in online education.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eLimitations and Recommendations for Future Studies\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;\u003c/strong\u003eThis study was limited to students currently enrolled at Purdue University Global within the College of Social and Behavioral Sciences and the School of Health Sciences. In addition, the results are based on self-reported data, which can impact data accuracy. While sufficient for the purposes of this study, the sample size was also a limitation of the study. Demographic data were collected regarding the degree program in which participants were enrolled. However, a comparison between these groups as part of the data analysis was not possible due to the sample size. Future research should explore which types of degree programs are represented by the most resilient students, as this could provide valuable insight. Finally, student engagement was determined based on the number of courses participants had taken, which does not account for those who may be at the start of their educational programs. This study would have benefited from data collected to include the time participants were enrolled in their programs in calendar months or years.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Future research should explore a larger sample with wider demographic parameters. In addition, longitudinal studies could provide valuable insights into how levels of resilience, self-victimization, and academic success change as students progress through their academic programs. Additional research focused on the ways in which students utilize skills associated with resilience can be beneficial, as can research that explores student experiences of resilience during times of difficulty, challenges, and adversity. Qualitative research focused on how students implement skills associated with resiliency could provide practical recommendations for others. Increased knowledge and understanding of the ways in which online educators should facilitate and promote student resilience while reducing tendencies toward self-victimization can help to produce more positive outcomes and student success in online education.\u0026nbsp;\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThis study explored how self-victimization and resilience affect student engagement and success in online courses. The findings indicated a relatively high level of resilience among participants. They also demonstrated a generally neutral to slightly positive inclination towards self-victimization across the sample, with higher averages in moral elitism. In contrast, the perception of unfairness registers the lowest average, suggesting that participants are less inclined to attribute their experiences to a globally unfair world. Furthermore, cross-tabulation and Chi-square analyses have shown that higher levels of resilience are significantly associated with students\u0026rsquo; engagement in online classes and better academic performance (higher CGPA). The findings also show a weak yet significant negative correlation between self-victimization and participants\u0026rsquo; academic success (measured as CGPA), suggesting that increased self-victimization may subtly erode academic performance by fostering a mindset of blame or helplessness that hinders learning.\u003c/p\u003e\n"},{"header":"Declarations","content":"\u003cp\u003eData Availability\u003c/p\u003e\n\u003cp\u003eThe datasets generated and/or analyzed during the current study are not publicly available due to participant privacy and anonymity, but are available from the corresponding author on reasonable request.\u003c/p\u003e\n\u003cp\u003eThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthical Approval\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe protocol was approved by Purdue University Global Institutional Review Board/Protocol #IRB-2024-0000304 in accordance with the Department of Health and Human Services Regulations for the Protection of Human Subjects (45 CFR 46), and is in compliance with this institution\u0026rsquo;s Federal Wide Assurance 00010056. All procedures performed in studies involving human participants were in accordance with the ethical standards of the Purdue University Global Institutional Review Board.\u003c/p\u003e\n\u003cp\u003eConsent to Participate\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eInformed consent was obtained from all individual participants involved in the study. Clinical trial number: not applicable.\u003c/p\u003e\n\u003cp\u003eConsent to Publish\u003c/p\u003e\n\u003cp\u003eNot applicable\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe author(s) received no financial support for the research, authorship, and/or publication of this article.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor Contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll authors conceived of the presented idea. The authors worked collaboratively to develop the literature, collect the data, and perform the computations. The authors verified the analytical method through individual investigation and then discussed and validated the findings of this work. All authors discussed the results and contributed to the preparation of the final manuscript.\u0026nbsp;\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eAli, M., Ashraf, B., \u0026amp; Shuai, C. (2019). Teachers\u0026apos; conflict-inducing attitudes and their repercussions on students\u0026apos; psychological health and learning outcomes. International \u003cem\u003eJournal of Environmental Research and Public Health, 16\u003c/em\u003e(14), 2534. https://doi.org/10.3390/ijerph16142534 \u003c/li\u003e\n\u003cli\u003eBittmann, F. (2021). When problems just bounce back: About the relation between resilience and academic success in German tertiary education. SN Social Sciences, 1(2). https://doi.org/10.1007/s43545-021-00060-6\u003c/li\u003e\n\u003cli\u003eCostello, M. A., Nagel, A. G., Hunt, G. L., Rivens, A. J., Hazelwood, O. A., Pettit, C., \u0026amp; Allen, J. P. (2022). Facilitating connection to enhance college student well‐being: Evaluation of an experiential group program. \u003cem\u003eAmerican Journal of Community Psychology, 70\u003c/em\u003e(3-4), 314\u0026ndash;326. https://doi.org/10.1002/ajcp.12601\u003c/li\u003e\n\u003cli\u003eCreswell, J. W., \u0026amp; Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). SAGE Publications, Inc.\u003c/li\u003e\n\u003cli\u003eGabay, R., Hameiri, B., Rubel-Lifschitz, T., \u0026amp; Nadler, A. (2020). The tendency for interpersonal victimhood: The personality construct and its consequences. \u003cem\u003ePersonality and Individual Differences, 165\u003c/em\u003e, 110134. https://doi.org/10.1016/j.paid.2020.110134\u003c/li\u003e\n\u003cli\u003eGeary, D. C., \u0026amp; Xu, K. M. (2022). Evolution of self-awareness and the cultural emergence of academic and non-academic self-concepts. \u003cem\u003eEducational Psychology Review, 34\u003c/em\u003e(4), 2323\u0026ndash;2349. https://doi.org/10.1007/s10648-022-09669-2 \u003c/li\u003e\n\u003cli\u003eHair, J. F., Sarstedt, M., Ringle, C. M., \u0026amp; Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. \u003cem\u003eJournal of the Academy of Marketing Science, 40\u003c/em\u003e, 414-433. https://doi.org/10.1007/s11747-011-0261-6\u003c/li\u003e\n\u003cli\u003eHoldcroft, B. (2014, April 11). Student incivility, intimidation, and entitlement in academia. American Association of University Professors. https://www.aaup.org/article/student-incivility-intimidation-and-entitlement-academia\u003c/li\u003e\n\u003cli\u003eJaakkola, N., Karvinen, M., Hakio, K., Wolff, L.-A., Mattelm\u0026auml;ki, T., \u0026amp; Friman, M. (2022). Becoming self-aware\u0026mdash;how do self-awareness and transformative learning fit in the sustainability competency discourse? \u003cem\u003eFrontiers in Education, 7\u003c/em\u003e. https://doi.org/10.3389/feduc.2022.855583 \u003c/li\u003e\n\u003cli\u003eJacobs, E., \u0026amp; Keegan, R. J. (2022). Sustaining optimal performance when the stakes could not be higher: Emotional awareness and resilience in emergency service personnel (with learnings for elite sport). \u003cem\u003eFrontiers in Psychology\u003c/em\u003e, \u003cem\u003e13\u003c/em\u003e. https://doi.org/10.3389/fpsyg.2022.891585\u003c/li\u003e\n\u003cli\u003eKotronoulas, G., Miguel, S., Dowling, M., Fern\u0026aacute;ndez-Ortega, P., Colomer-Lahiguera, S., Bağ\u0026ccedil;ivan, G., Pape, E., Drury, A., Semple, C., Dieperink, K. B., \u0026amp; Papadopoulou, C. (2023). An overview of the fundamentals of data management, analysis, and interpretation in quantitative research. \u003cem\u003eSeminars in Oncology Nursing, 39\u003c/em\u003e(2), 151398. https://doi.org/10.1016/j.soncn.2023.151398\u003c/li\u003e\n\u003cli\u003eKedia, P., \u0026amp; Mishra, L. (2023). Exploring the factors influencing the effectiveness of online learning: A study on college students. \u003cem\u003eSocial Sciences \u0026amp; Humanities Open, 8\u003c/em\u003e(1), 100559. https://doi.org/10.1016/j.ssaho.2023.100559 \u003c/li\u003e\n\u003cli\u003eKelly, J. D. (2019). Your best life: Managing negative thoughts\u0026mdash;the choice is yours. \u003cem\u003eClinical Orthopaedics \u0026amp; Related Research, 477\u003c/em\u003e(6), 1291\u0026ndash;1293. https://doi.org/10.1097/corr.0000000000000791\u003c/li\u003e\n\u003cli\u003eLawrence, E., Dunn, M. W., \u0026amp; Weisfeld-Spolter, S. (2018). Developing leadership potential in graduate students with assessment, self-awareness, reflection and coaching. \u003cem\u003eJournal of Management Development\u003c/em\u003e, \u003cem\u003e37\u003c/em\u003e(8), 634\u0026ndash;651. https://doi.org/10.1108/jmd-11-2017-0390\u003c/li\u003e\n\u003cli\u003eMakhambetova, A., Zhiyenbayeva, N., \u0026amp; Ergesheva, E. (2021). Personalized learning strategy as a tool to improve academic performance and motivation of students. \u003cem\u003eInternational Journal of Web-Based Learning and Teaching Technologies\u003c/em\u003e, \u003cem\u003e16\u003c/em\u003e(6), 1\u0026ndash;17. https://doi.org/10.4018/ijwltt.286743\u003c/li\u003e\n\u003cli\u003eMwita, K. (2022). Factors influencing data saturation in qualitative studies. \u003cem\u003eInternational Journal of Research in Business and Social Science (2147- 4478), 11\u003c/em\u003e(4), 414\u0026ndash;420. https://doi.org/10.20525/ijrbs.v11i4.1776\u003c/li\u003e\n\u003cli\u003ePatrick, B., \u0026amp; Rollins, A. C., Jr. (2016). Shifting the blame in public education: Are there parallels between opinion and policy? \u003cem\u003eJournal of Public Management \u0026amp; Social Policy\u003c/em\u003e, \u003cem\u003e23\u003c/em\u003e(2). http://digitalscholarship.tsu.edu/jpmsp/vol23/iss2/5\u003c/li\u003e\n\u003cli\u003eSmith, B. W., Dalen, J., Wiggins, K., Tooley, E., Christopher, P., \u0026amp; Bernard, J. (2008). The brief resilience scale: Assessing the ability to bounce back. \u003cem\u003eInternational Journal of \u003cem\u003eBehavioral Medicine\u003c/em\u003e, \u003cem\u003e15\u003c/em\u003e(3), 194\u0026ndash;200. https://doi.org/10.1080/10705500802222972\u003c/em\u003e\u003c/li\u003e\n\u003cli\u003eSutton, A. (2016). Measuring the effects of self-awareness: Construction of the self-awareness outcomes questionnaire. \u003cem\u003eEurope\u0026apos;s Journal of Psychology\u003c/em\u003e, \u003cem\u003e12\u003c/em\u003e(4), 645\u0026ndash;658. https://doi.org/10.5964/ejop.v12i4.1178\u003c/li\u003e\n\u003cli\u003eTang, Y., \u0026amp; He, W. (2023). Relationship between emotional intelligence and learning motivation among college students during the COVID-19 pandemic: A serial mediation model. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1109569\u003c/li\u003e\n\u003cli\u003eThe Daily Coach, (February 19, 2025). The messy, beautiful truth about resilience with Dr. Becky Kennedy: \u0026ldquo;What does resilience feel like?\u0026rdquo; https://www.thedaily.coach/p/the-messy-beautiful-truth-about-resilience-with-dr-becky-kennedy\u003c/li\u003e\n\u003cli\u003eTu, X. (2021). The role of classroom culture and psychological safety in efl students\u0026apos; engagement. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.760903 \u003c/li\u003e\n\u003cli\u003eWicklund, R. A. (2008). Objective self-awareness. In Advances in experimental social psychology (pp. 233\u0026ndash;275). Elsevier. https://doi.org/10.1016/s0065-2601(08)60252-x \u003c/li\u003e\n\u003cli\u003eWilliams, B., Onsman, A., \u0026amp; Brown, T. (2010). Exploratory factor analysis: A five-step guide for novices. \u003cem\u003eAustralasian Journal of Paramedicine, 8\u003c/em\u003e, 1-13. https://doi.org/10.33151/ajp.8.3.93\u003c/li\u003e\n\u003cli\u003eYang, A., \u0026amp; McDonnell, L. (2024). Student definitions of ownership and perceived ways ownership influences writing in a biology laboratory class. \u003cem\u003eJournal of Microbiology \u0026amp; Biology Education\u003c/em\u003e, \u003cem\u003e25\u003c/em\u003e(1), e0019723. https://doi.org/10.1128/jmbe.00197-23\u003c/li\u003e\n\u003cli\u003eZeier, P., Sandner, M., \u0026amp; Wessa, M. (2019). Emotion regulation in the face of stress - investigating reappraisal inventiveness as a potential resilience mechanism. \u003cem\u003ePsychoneuroendocrinology\u003c/em\u003e, \u003cem\u003e100\u003c/em\u003e, S5. https://doi.org/10.1016/j.psyneuen.2018.12.034\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"discover-education","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"diedu","sideBox":"Learn more about [Discover Education](https://www.springer.com/journal/44217)","snPcode":"44217","submissionUrl":"https://submission.nature.com/new-submission/44217/3","title":"Discover Education","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Discover Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Academic difficulties, educational strategies, competence building, instructor interactions, resilience","lastPublishedDoi":"10.21203/rs.3.rs-7696094/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7696094/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"This research addressed the need for effective strategies to increase student proficiency and learning competencies by reducing victim mentality in academic settings. Victim mentality is a state of mind in which individuals feel helpless or that the world is against them. The characterization of a victim mentality is predicated on the tendency to shift the blame for academic performance to external factors and perceived limitations, which can significantly impact student achievement and morale. This research study also addressed the role of academic culture, environment, and instructor interactions that can either cultivate or mitigate this state of mind. By understanding the cognitive concepts associated with victim mentality among students, instructors can identify components that build competence and resilience for students. The findings indicated that students with higher levels of resilience experienced increased academic performance. Similarly, students with higher levels of self-victimization experienced lower academic performance.","manuscriptTitle":"Encouraging Student Proficiency through Adversity: Cultivating Resilience to Overcome a Victim Mindset","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-01-07 16:18:52","doi":"10.21203/rs.3.rs-7696094/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2026-02-05T05:06:07+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-01-29T18:42:55+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"271173200824069152807098829508278655190","date":"2026-01-19T15:23:27+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-12-18T22:00:31+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"110692781155701334990164810743114395050","date":"2025-12-17T14:20:47+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-12-16T10:39:44+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2025-12-02T06:00:29+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-11-27T06:48:31+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-11-17T22:21:23+00:00","index":"","fulltext":""},{"type":"submitted","content":"Discover Education","date":"2025-11-17T22:18:35+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"discover-education","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"diedu","sideBox":"Learn more about [Discover Education](https://www.springer.com/journal/44217)","snPcode":"44217","submissionUrl":"https://submission.nature.com/new-submission/44217/3","title":"Discover Education","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Discover Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"78ffdb7d-9094-40fb-adce-9f628fdb8c1b","owner":[],"postedDate":"January 7th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2026-04-08T10:40:55+00:00","versionOfRecord":[],"versionCreatedAt":"2026-01-07 16:18:52","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7696094","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7696094","identity":"rs-7696094","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}