A Call To Action: Black Male Educators! It is Your Time: A Mixed Methods Study on Beginning Black Male Educator’s Experiences in Teacher Preparation Programs, Preparedness, and Opportunities for Retention

A Call To Action: Black Male Educators! 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It is Your Time: A Mixed Methods Study on Beginning Black Male Educator’s Experiences in Teacher Preparation Programs, Preparedness, and Opportunities for Retention Leonard Jackson, Towan Dicks This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4384546/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The purpose of this sequential explanatory mixed method study was to understand the beginning Black male teachers’ (BMT) preparedness, perceptions of the pre-service experience, and give opportunities for retention for Teacher Education Programs. The significance of this study was to fill the significant void in research, understand the preparedness of African American male students through a teacher preparation program, and to understand the beginning teachers' preparedness and the ability to fully execute their roles as a classroom teacher. This study used a sequential explanatory mixed method design which included survey collection and in-depth interviews to explore the critical lived experiences of the participants. The quantitative data was collected from 104 Black Male Educators. The data content validity was checked with the Pearson r 2-tailed correlation. Qualitative data was collected from the interviews of five (5) beginning Black Male Educators. The researcher interpreted the statements from the interviews and conducted an analysis revealing codes and themes. Four major themes emerged from the data, which were: (1) Self-Efficacy, (2) Teacher Preparation Programs are effective, (3) Family Dynamics and Socioeconomics play a critical role, and (4) Representation of Black Men Matters. The conclusions specified that Teacher Preparation Programs are effective in the trajectory of Black male educators. However, the findings revealed that the further Black male educators move away, in time, from their programs, the less they it as a factor in their effectiveness. The findings revealed that there was a significant relationship between the beginning African American male educator and their preparedness by their Teacher Preparation Program. The findings additionally show that the further the beginning Black Male Educator moves away from their program, the least impact it has on their level of preparedness to fulfill their role. The study revealed several recommendations for practice and research that would improve the lived experiences of Black male educators including mentorships in Teacher Preparation Programs, Partnerships amongst Teacher Preparation Programs and School districts, and Empowerment and Continual Support of Black Male Educators. The participants responses provide a framework for Teacher Preparation Program stakeholders, current administrators, and district-level staff recruiters to follow. Figures Figure 1 Figure 2 Figure 3 INTRODUCTION In the United States, in the Fall 2020 school year, there were 3.2 million full- and part-time public-school teachers. The most recent year for which the National Center for Education Statistics (NCES) has published demographic data shows there were 1.8 million elementary school teachers and 1.8 million secondary school teachers (NCES, 2021). The majority of public elementary and secondary school teachers were White (NCES NTPS, 2018). The elementary and secondary educator workforce is overwhelmingly homogenous- with white teachers making up 79% of the population in public schools (NCES NTPS, 2018). There are a total of 34.1 million Elementary aged children, 15.3 million Secondary aged children that make up a total of 50.8 million students enrolled in Public School in the United States (Center for Education Reform, 2020 ). NCES reports that in fall of 2018, of the 50.8 million students enrolled in public elementary and secondary schools, 23.8 million were White, 13.8 million were Hispanic, 7.7 million were Black, 2.7 million were Asian. Deliberate tailored policies and programs do work in decreasing disparities between the percentage of minority students and minority teachers (Lindsay et. al, 2017 ). For quite some time, the issue of teacher shortage and more specifically the few Black male teacher crises have captivated the minds of education institutions and proponents of education for some time. Despite the paucity of Black men in the teaching profession, many researchers have examined the recruitment, retention, and experiences of Black male K–12 teachers (Goings & Lewis, 2020 ). There is a new interest in the attainment of Black male teachers from policy lawmakers. This has enabled initiatives to start a clarion call for the recruitment of more Black male teachers. The purpose of this sequential explanatory mixed method study was to understand the beginning Black male teachers’ (BMT) preparedness, perceptions of the pre-service experience, and give opportunities for retention and implications for Teacher Education Programs. Utilizing a mixed methods approach, this study seeks to help advance perspectives of Teacher Preparation programs and the preparedness of Black male teachers. We would be remiss not to acknowledge the lack of quantitative and mixed methods research related to Black male teachers (Young & Young, 2020). The researcher of this study sought to help advance institutions of higher learning, in effort, to help fill a gap in society and research of this understudied population. The shortage of teachers of color, particularly Black male teachers, continues to be a problem throughout U.S. public schools (Green & Martin 2018). So, as an era of culturally responsiveness emerges the need for more diversifications continues to be a cause for more African American males in the field and is imperative to note their perceptions versus realities. METHODOLOGY A sequential explanatory design was utilized for this data collection because the quantitative data (i.e., survey) was implemented during the first stage of the research and analyzed, followed up with qualitative approach using thematic analysis. The researcher chose this specific design in order to explain both the qualitative and quantitative data in two separate phases. Specifically, there was qualitative data being used subsequently and interpretably with clarifying the results from quantitative data analysis, through multiple sources including surveys, interviews, and a Likert scale questionnaire. Data was collected from the population of participants that fit the criteria of selection. Mixed method research designs and strategies can have two unique stages: quantitative followed by qualitative (Clark, 2019). In this plan, the researcher first gathers and breaks down the quantitative (numeric) information. The researcher then compiles the information gathered and closely examines qualitative data second in the succession and helps make sense of, or expand on, the quantitative outcomes obtained in the primary stage. The second, qualitative stage, expands on the first, and the two stages are associated. Qualitative data comprises conceptual and descriptive data collected through interviews, observations, and interviews. The analysis of qualitative data allows researchers to explore their ideas therefore, further explaining their quantitative results (Clark, 2019). The qualities of mixed methods have been broadly examined in research (Clark, 2019).A mixed method design can be particularly helpful when surprising outcomes emerge from a quantitative report (Clark, 2019). The limitations of conducting a mixed method design are the extended time and researching the information (Clark, 2019). The qualities of mixed methods have been broadly examined in research (Clark, 2019). A mixed method design, like sequential explanatory designs, can be particularly helpful when surprising outcomes emerge from a quantitative report (Clark, 2019). The constraints of this plan are the extended time and attainability of assets to gather and investigate the two kinds of information (Clark, 2019). The researcher utilized Pearson r correlation coefficient for the quantitative portion of the research to investigate the relationship between the beginning Black male teacher and their preparedness as a teacher candidate. The data from the survey was analyzed using the independent sample T-test. The test was based on a .05 probability level to determine the significance. The researcher examined the perceptions of the participants to acquire knowledge of the world through the participants' lived experiences. The sample was conducted nationally with African American male teachers with 1-3 completed years of full-time teaching experience in public schools located throughout the United States. The researcher utilized descriptive statistics to analyze survey data presented to the targeted populations of the research study to investigate the relationship between the beginning Black male teacher and their preparedness as a teacher candidate. Additionally, the data from the survey was analyzed using content analysis to report emerging themes on how the participants relate to the questions presented to them. Data were collected from the population of participants that fit the criteria of selection. The qualifications of the study included: 1. Identifying as African American or Black 2. Identifying as male 3. Identifying as a beginning teacher and have completed no more than 3 academic years of teaching. Patten and Newhart (2018) state the qualitative research results are presented primarily through words and most commonly interview transcripts and/or field notes. Good qualitative research contributes to science via a logical chain of reasoning, multiple sources of converging evidence to support and explanation, and ruling out rival hypotheses with convincing arguments and solid data (Suter, 2012). Data were obtained from the interview for the study and made logical connection. The researcher analyzed the data holistically which involved reading through the interview transcripts and matching it with survey data. Building upon the survey, the researcher went through the data and identified significant statements, quotes, terms, and sentences that assisted in providing an understanding of how the participants were a part of the phenomenon. Codes were developed, data coded, and connections made based on emerging themes presented. The data analysis began soon after the collection of data was completed. The researcher conducted interviews with five (5) African American male teachers with 1-3 completed years of full-time teaching experience in public schools located throughout the United States. An 18-item survey instrument with seven (7) demographic items were administered to collect data from Beginning Black Male teachers. The 18-item survey was presented as a Likert-scale survey questionnaire. Description of Data Analysis Methods This is a study of beginning Black male teachers. RQ Variables Instrument Items Data Analysis Method RQ1: How do special programs contribute to the preparedness of African American male teacher candidates as first year educators? DV: Preparedness of AA Male Teacher Candidates IV: Recruitment Strategies Survey: 11.G, 11.K, 11.J Interview: 1-4 Content Analysis Descriptive Statistics RQ2: What internal or external factors influence the beginning African American male teachers’ perceptions of their role in their first through third year of teaching? IV: Beginning AA male educators IV: Educators’ perception on the Field of Education Survey: 11.A- 11.D Interview: 5-7 Content Analysis Descriptive Statistics RQ3: How do beginning African American male teachers rate their classroom training as compared to their lived experiences in their first year of teaching? DV: Preparedness of AA Male Teacher Candidates Survey: 11.E-F, 1.H-I Interview: 8-10 Content Analysis Descriptive Statistics RQ4: What strategies would the beginning African American male teacher suggest for undergraduate teacher preparation programs to employ to meet the expectations of students to be prepared for their role? DV: Preparedness of AA Male Teacher Candidates IV: Teacher Preparation Programs Survey: 11.J-11. K Interview: 13-14 Content Analysis Descriptive Statistics RQ5: What strategies would the beginning African American male teachers suggest retaining other AAMT? DV: Preparedness of AA Male Teacher Candidates IV: Retention Survey: 11.F- 11.I Interview: 11-12 Content Analysis Descriptive Statistics Table 1. Research Question Alignment Table RESULTS The researchers conducted an interview to obtain additional feedback on recruitment strategies, beginning African American male educators, the educators’ perceptions on the field of education, teacher preparation programs and preparedness. The interview portion of the study was to obtain additional feedback on the preparedness of these Beginning African American male teachers. The interviewees were selected on a voluntary basis, randomly, from those who provide their contact information to participate after the initial survey is administered. The researcher selected participants randomly from those who agreed to participate by an online automated randomizer selecting names. The researcher hoped that the interview data can be utilized in future studies to help explore the relationship between factors of internal and external forces that help prepare African American males in preparation to continually fill the gap in the nation’s classrooms. Quantitative Analysis Qualitative Analysis DISCUSSION The purpose of this sequential explanatory mixed method study was to understand the beginning Black male teachers’ (BMT) preparedness, perceptions of the pre-service experience, and give opportunities for retention for Teacher Education Programs. Utilizing a mixed methods approach, this study seeks to help advance perspectives of Teacher Preparation programs and the preparedness of Black male teachers. We would be remiss not to acknowledge the lack of quantitative and mixed methods research related to Black male teachers (Young & Young, 2020). The researcher of this study sought to help advance institutions of higher learning, in effort, to help fill a gap in society and research of this understudied population. An 18-item survey instrument with seven (7) demographic items were administered to collect data from Beginning Black Male teachers. The 18-item survey was presented as a Likert-scale survey questionnaire. The survey presented was used as foundational questions for the interview questions which allowed participants to expound on their answers. The BMT BTs were recruited utilizing Facebook groups, yet only the participants that agreed to participate were considered for the study. Based on the researcher’s findings, these findings provided insights into how Black male teachers’ experiences are viewed through the lens of Black males entering the classroom for the first time. The information collected for my study created a convenient framework for Black male teacher preparedness that could be useful for other Black male educators that are beginning the education field. There were themes that were derived via going through the raw data. To effectively generate these themes, the researcher examined results using a variety of data sets in SPSS and Excel spreadsheets for the quantitative data. MAXQDA analysis software was used for the qualitative portion of the data. Research Questions The following research questions were designed to gather information about the preparedness of African American male teacher candidates. RQ1: How do special programs contribute to the preparedness of African American male teacher candidates as first year educators? In order to answer RQ1, a statistical test was run to see if special programs contribute to the preparedness of African American male teacher candidates as first year educators. A(n) Pearson correlation coefficient was computed to assess the linear relationship between special programs to the preparedness of African American male teacher candidates. Based on the results, there was a significant relationship. There was a positive correlation between the two variables, r (92) = .610, p = .001. Thusly, showing a positive correlation between special programs and preparedness of African American male teachers’ candidates as beginning educators. RQ2: What internal or external factors influence the beginning African American male teachers’ perceptions of their role in their first through third year of teaching? To answer RQ2, a statistical test was conducted to determine if internal or external factors had an influence on beginning African American male teachers’ perceptions of their role in their first through third year of teaching. Internal forces were based on Collegial Relationships (i.e., Teacher: Student and Student: Student. External forces were based on relationships outside the collegial setting (Parent: Student, Community Members: Student, and Mentors: Student). In particular, a Pearson correlation coefficient (Table 2) was computed to assess the linear relationship between internal/external factors of African American teachers’ perception of their role in first through third year teaching experiences. Based on the results, there was no significance found between those two variables. Table 2 The central qualitative research questions submitted by the researcher were as follow: RQ3: How do beginning African American male teachers rate their classroom training as compared to their lived experiences in their first year of teaching? To answer RQ3, the questions asked were used to see how African American male teachers rated their classroom training as compared to their lived experiences as first year teachers. BME01 attended an HBCU where he went through a traditional teacher preparation program. In addition, he had at least two years of teaching experience in the classroom. Most of the interviewees had positive things to say about their classroom training as compared to their lived experiences in their first year of teaching. They thought the onsite teaching visits were effective because it gave many of them a firsthand view of seeing a classroom outside of their own teacher preparation programs. Specifically, BME 01, explained how he measured his classroom training as compared to his lived experiences in his first year of teaching. BME01 stated: “ If I were to measure the teaching effectiveness of African American male graduates of teacher preparation programs on a scale from 1-10, I would rate my overall teacher preparation program at a 9. It was very effective .” Many of the other interviewees also felt strongly about the impact their teacher preparation had on their success as first year teachers in the classroom. It is important to note that BME01 was a career changer and switched fields later in life, so his experiences were thoroughly discussed. BME02 mentioned how he felt like his program “did well” in preparing him. BME02, stated “ My program did well in preparing me for my role in the classroom. I feel like I can take these tools and pour into my students .” This was important because it showed how proud BME02 was to have an effective program that allowed him to be effective towards his own students. BME03 explained what an effective teacher program meant to him. He was a part of a mentoring program. Therefore, he said going through his teacher preparation program, felt like he was getting “ guidance and preparing for life inside and outside of the classroom .” BME04 felt like his program was not as effective, but he made the best of the situation. BME04 stated, “ I felt out of place in the program because I did not think I could do it, but I got myself together and made it through so I could make a difference to the future students who look like me.” This is critical to the individuals who wish to make a difference. BME05 explained how his classroom teaching reflects how he operated in the classroom. BME05 stated, “ my teaching program was very important in how I operate in the day-to-day operation in the classroom. ” RQ4: What strategies would the beginning African American male teacher suggest for undergraduate teacher preparation programs to employ to meet the expectations of students to be prepared for their role? The interview questions asked were to discover what strategies the beginning African American would make teacher suggest for undergraduate teacher preparation programs to employ to meet the expectations of students to be prepared for their role. The interviewees explained various strategies. The interviewees gave praise to their professors and mentors for their classroom training. In particular, how to comprehensively implement a lesson during their first year of teaching. BME01 sounded excited to describe his strategies, he could hardly contain his excitement as he stated, ‘ I do think-pair-share strategies with all of my classes .” “ I want them to know they can share out their ideas to their classmates and not feel embarrassed.” BME02, for instance, spoke to the strategies he implemented from his TPP to help him prepare for his role in the classroom. BME02 stated, the lessons taught/learned during my preservice experience impacted my role as a classroom teacher in several ways. Mainly, I am able to still maintain how I conduct and implement my own lessons today as a lead teacher . BME02 also mentioned “ grouping the students by reading levels, for example, during instructional time .” This was a familiar strategy he learned to be beneficial during his student teaching phase of his teacher preparation program. BME03 felt his “talk” model was most helpful. As a researcher, I was most intrigued by what he meant by his “talk” model. BME03 stated, “ I use the “talk” model whenever my students want to address a problem or a concern, I feel like my students may be encountering ” BME03 implemented his “talk” model into his lesson planning period. The “talk” model is a strategy he adapted from his own former program, Call Me Mister ©, BME03 went on to express how implementing this style of discipline has been effective in the classroom. Therefore, suggesting that TPP’s adopt a similar strategy to incorporate in their TPP’s. BME04 uses a modified time-out strategy he picked while a TPP student. BME04 stated “ while I came through the teacher preparation program at a PWI, he felt it necessary to model what he saw the classroom as a pre-service teacher.” He implemented a five minute “time out” so students can de-stress (relax) at any time during the class if they feel like they are about to explode. BME04 explained, “ de-stressing is critical at the K-12 level, so I allow my students to go the “de-stress” corner before a problem erupts in the classroom .” This is what has helped him make a difference in the classroom. BME05 did not state any immediate strategies. However, after listening to him during the interview, it can be suggested that he enjoys the “in your face” approach. He did state, “ I just let the students know up front how it is going to be from the jump when they enter my class.” Thus, helping him as a beginning African American educator be prepared in the classroom. This strategy implies being open, honest, and vulnerable with students. Interviewees, like BME02, felt his program has done an effective job in equipping him with the necessary strategies to be successful in the classroom. RQ5: What strategies would the beginning African American male teachers suggest retaining other AAMT? To answer RQ5, the interviews conducted amongst the interviewees were to demonstrate what strategies the beginning African American male teach suggest for undergraduate preparation programs to employ and meet expectations of students to be prepared for their role. BME01 stated the importance of getting more Black men to volunteer. BME01 stated, “ I think a strategy is getting more of us to volunteer in the schools. Yeah, that’ll help a lot !” This was interesting as I went through the interviews, because BME02 stated much of the same. BME02 stated, “ We need to have weekly meetings or start with some type of town hall to at least get more of us into these schools .” Additionally, BME03 stated reasons that were important. In fact, he got personal and stated how mentoring can become a critical strategy in retaining other AAMT’s. Although this was an initial research question, it was asked casually during the interview. BME03 had a potential solution and methodically broke it down in the following manner: “ Mentorship programs are important and felt like I was in one while in the teaching preparation program because the professors were guiding me every step of the way .” BME04 stated a “ suit and tie” initiative . This means to him, the more [Black] fathers we see taking a liking to “suit” up their sons, this could possibly be a major way to get more Black men involved not just in the sports. BME05 stated something powerful. He mentioned “ Prayers with Dad!” It struck an emotional connection for the researcher and interviewee. Both BME03 (Call Me Mister © participant) and BME05 vividly and emotionally responded to the researcher throughout their responses. The researcher, then I asked BME05 to, “please explain.” BME05 did not hesitate. He stated, “ Prayers with Dad! is a strategy that could involves all dads, given they have a prayer life, to pray with their children in a prayer style circle before the school day starts each morning for about 5 to 10 minutes .” Thus, showing a positive implementation between strategies and relationships to help beginning African American educators retain other African American Male Teachers (AMT) in the classroom. Themes Thematic analysis is critical in qualitative data analysis. This is a method where the researcher analyzes the data to develop a theme by reading through the data sets (i.e., transcripts based on interview responses). In addition, identifying patterns is one of the most important parts of developing themes for qualitative data set. Themes were developed for the researcher’s study based on the interviews. The following are the themes based on the responses from five Black male educators. Theme 1: Self Efficacy- The interviewees all felt that strong and self-assuring that the teacher preparation program helped them to be effective Black male educators. Theme 2: Teacher Preparation Programs are effective. The interviewees stated how effectively their respective programs had been in preparing them for the classroom experience. Theme 3: Family Dynamics and Socioeconomic play a critical role. The interviewees explained how family support and where they come from became a deciding factor as to reasons why they chose to become educators. In addition, some of them even explained how church had a role in them becoming educators. Theme 4: Representation of Black Men Matters- An overwhelming amount of the interviewees in their interview and expressed their sincerity for having representation. In the interviews, they expressed how they wished they had more role models or teachers that looked them growing up. It would have made all the difference to them. During the interview sessions, the participants explained how they wanted to get into education to become the role models they wish they would have met along the way. They wanted to be role models for the future generation. Summary of Emergent Themes The chart below shows a matrix of how many times each theme emerged during the interview process and was used to determine similarities amongst the participants. The number of times each theme emerged from the interview questions is depicted below with special attention that RQ#5 generated a unanimous response from each interviewee and shows significance (Table 3). Matrix of Most Stated Emergent Themes Themes Self-Efficacy Teacher Preparation Program (Effectiveness) Family Dynamics and Socioeconomics Representation of Black Men Matters Number of Times Each Theme Emerged RQ#3 4 5 4 4 RQ#4 3 3 3 4 RQ#5 5 5 5 5 Table 3 Alignment to Theoretical Framework The results of this study align to the theoretical framework used to guide the research and all speak to how the participants viewed not only their roles but their Teacher Preparation Programs. Many respondents felt like family and socioeconomic factors, representation, and having a sense of self-efficacy all are contributing factors that play a role in how they navigate within a teacher preparation program. This speaks to Bandura’s Theory of Self-Efficacy in a wide range of ways. For self-efficacy, this reoccurring theme emerged in the participant’s survey responses and interviews. The participants drew from their experiences and continually mentioned things of self-reflection. The results of the study continually tied back to that this was the belief that one can achieve what one sets out to do, and are healthier, more effective, and generally more successful than those with low self-efficacy expectancies (Bandura, 1977). This theory corresponds to the participant’s awareness of their own self-efficacy. Each participant knew they wanted to a representation for other Black and brown students. Representation was an overwhelming talking point for almost every Black male educator, who chose to interview. When aligning the results to Harper’s Anti-Deficit Achievement, the results of the study speak to how these Black males overcome adversity and obstacles to counterbalance the popular one-sided emphasis on failure of this marginalized population. In a particular case, BME03, the Call Me Mister participant, mentions how instead of choosing failure, the decision to become an educator, the program changed his life. Instead of succumbing to the challenges around him he chose success and reaching for his dreams. Family and religion also played a major factor in reasons they chose to enter the education field and is the intersection of all the theories observed and aide in the preparedness and experiences of these beginning Black Male Educators. It is because of this factor that the Black male educators were able to move beyond the failure mindset and reach for their dreams. Declarations Author Contribution LJ and TD contributed to the article and wrote all parts.All authors reviewed the manscript. ACKNOWLEDGEMENTS The authors of this article did not have any funding for this research. The authors would like to thank each black male educator that shared their classroom experience. We will not forget your bravery and wanting to see more representation of black male educators in the classrooms for black and brown students. Conflict of Interest The authors have no conflict of interest as this is not funded research nor are we gaining any funds by publishing this research. The authors whose names appear immediately above attest that they have no affiliations with or engagement in any organization or body with any financial or otherwise interest. Data availability statement The data that support the findings of this study are available from the corresponding author, [author initials], upon reasonable request. The authors of this research can attest all human subjects were given informed consent to participate in this study. The human subjects read informed consents and all were adults and over the age of 18 at the time the research took place. References Bandura, A (1977). Self-efficacy: Toward a Unifying Theory of Behavioral Change. Psychological Review. 84 (2): 191–215. Center For Education Reform. (2020) The Center for Education Reform. United States. Clark, V. L. P. (2019). Meaningful integration within mixed methods studies: Identifying why, what, when, and how. Contemporary Educational Psychology , 57, 106-111. Goings, R. B., & Lewis, C. W. (2020). Critically examining the trajectories of Black male preservice teachers: implications for teacher education programs. Peabody Journal of Education, 95(5), 449–455. hTPPs://doi.org/10.1080/0161956X.2020.1826114 Lindsay, Constance, Blom, Erica & Tilsley, Alexandra (2017). “Diversifying the Classroom: Examining the Teacher Pipeline”, Urban Institute. National Center for Educational Statistics. (2018). Racial/ethnic enrollment in public schools. U.S. Department of Education. hTPPs://nces.ed.gov/programs/coe/pdf/coe_cge.pdf National Center for Educational Statistics. (2021). Racial/ethnic enrollment in public schools. U.S. Department of Education. hTPPs://nces.ed.gov/programs/coe/pdf/coe_cge.pdf Patten, M. L., & Newhart, M. (2018). Understanding research methods: an overview of the essentials (Tenth). Routledge. Suter, W. N. (2012). Introduction to educational research: A critical thinking approach (2nd ed.). SAGE Publications, Inc. hTPPs://dx.doi.org/10.4135/9781483384443 Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4384546","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":308338574,"identity":"57117a8e-c874-4f02-bb1a-6ce6ff53f9bc","order_by":0,"name":"Leonard Jackson","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA7klEQVRIiWNgGAWjYBACPoYDbECKGcqtALGZG/BqYWM4DNMCwmdANCMhLcxIWhjbQGKEtDCeP/bgQ4V1Yn/7+YOPK+fVRvO3A7X8qNiGz2HshjPOpCfOOJPMbHh22/HcGYcZGxh7ztzG6xdp3rbDiRsYktkkG7cdy20AamFmbCOg5e8/oBb+x0Atc47lzidKC2MDUIsEyJaGmtwNRGgxk+w5lm4848ZjY8OGYwdyNwK1HMTnF36Jg88kftRYy/b3Jz582FBTlzvv/OGDD35U4NbCIHEAhXsYTB7AVIdsTQMKtw6v4lEwCkbBKBiZAAAHHFuV2MsAmwAAAABJRU5ErkJggg==","orcid":"","institution":"Grand Canyon University","correspondingAuthor":true,"prefix":"","firstName":"Leonard","middleName":"","lastName":"Jackson","suffix":""},{"id":308338575,"identity":"30eface6-0548-4ec6-a2e8-a4b8731f82e6","order_by":1,"name":"Towan Dicks","email":"","orcid":"","institution":"Clark Atlanta University","correspondingAuthor":false,"prefix":"","firstName":"Towan","middleName":"","lastName":"Dicks","suffix":""}],"badges":[],"createdAt":"2024-05-07 17:16:47","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4384546/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4384546/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":57729078,"identity":"df239a55-7f21-4d11-b053-3f291bb064dd","added_by":"auto","created_at":"2024-06-04 21:51:18","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":179138,"visible":true,"origin":"","legend":"\u003cp\u003eDescriptive Statistics Results\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-4384546/v1/e79bde901179352f00252a5b.png"},{"id":57728201,"identity":"e049d1da-bbba-4d3f-b899-2a584b03aaca","added_by":"auto","created_at":"2024-06-04 21:43:18","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":120353,"visible":true,"origin":"","legend":"\u003cp\u003eTeacher Interviews and Coding\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-4384546/v1/ea66a780e9d49048c8111c83.png"},{"id":57729077,"identity":"f354cce6-7e41-4a74-b9fc-9ed36090d44c","added_by":"auto","created_at":"2024-06-04 21:51:18","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":177395,"visible":true,"origin":"","legend":"\u003cp\u003eEmergent Themes and Subthemes\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-4384546/v1/7df828e0c688f63cf4fcf8e0.png"},{"id":59962526,"identity":"7acd3a46-589f-42eb-9bf5-4a8af431fe93","added_by":"auto","created_at":"2024-07-10 01:08:55","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1139954,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4384546/v1/70d69450-00eb-477c-9a69-477561bad115.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"A Call To Action: Black Male Educators! It is Your Time: A Mixed Methods Study on Beginning Black Male Educator’s Experiences in Teacher Preparation Programs, Preparedness, and Opportunities for Retention","fulltext":[{"header":"INTRODUCTION","content":"\u003cp\u003eIn the United States, in the Fall 2020 school year, there were 3.2\u0026nbsp;million full- and part-time public-school teachers. The most recent year for which the National Center for Education Statistics (NCES) has published demographic data shows there were 1.8\u0026nbsp;million elementary school teachers and 1.8\u0026nbsp;million secondary school teachers (NCES, 2021). The majority of public elementary and secondary school teachers were White (NCES NTPS, 2018). The elementary and secondary educator workforce is overwhelmingly homogenous- with white teachers making up 79% of the population in public schools (NCES NTPS, 2018). There are a total of 34.1\u0026nbsp;million Elementary aged children, 15.3\u0026nbsp;million Secondary aged children that make up a total of 50.8\u0026nbsp;million students enrolled in Public School in the United States (Center for Education Reform, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2020\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eNCES reports that in fall of 2018, of the 50.8\u0026nbsp;million students enrolled in public elementary and secondary schools, 23.8\u0026nbsp;million were White, 13.8\u0026nbsp;million were Hispanic, 7.7\u0026nbsp;million were Black, 2.7\u0026nbsp;million were Asian. Deliberate tailored policies and programs do work in decreasing disparities between the percentage of minority students and minority teachers (Lindsay et. al, \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2017\u003c/span\u003e). For quite some time, the issue of teacher shortage and more specifically the few Black male teacher crises have captivated the minds of education institutions and proponents of education for some time. Despite the paucity of Black men in the teaching profession, many researchers have examined the recruitment, retention, and experiences of Black male K\u0026ndash;12 teachers (Goings \u0026amp; Lewis, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). There is a new interest in the attainment of Black male teachers from policy lawmakers. This has enabled initiatives to start a clarion call for the recruitment of more Black male teachers.\u003c/p\u003e \u003cp\u003eThe purpose of this sequential explanatory mixed method study was to understand the beginning Black male teachers\u0026rsquo; (BMT) preparedness, perceptions of the pre-service experience, and give opportunities for retention and implications for Teacher Education Programs. Utilizing a mixed methods approach, this study seeks to help advance perspectives of Teacher Preparation programs and the preparedness of Black male teachers. We would be remiss not to acknowledge the lack of quantitative and mixed methods research related to Black male teachers (Young \u0026amp; Young, 2020). The researcher of this study sought to help advance institutions of higher learning, in effort, to help fill a gap in society and research of this understudied population. The shortage of teachers of color, particularly Black male teachers, continues to be a problem throughout U.S. public schools (Green \u0026amp; Martin 2018). So, as an era of culturally responsiveness emerges the need for more diversifications continues to be a cause for more African American males in the field and is imperative to note their perceptions versus realities.\u003c/p\u003e"},{"header":"METHODOLOGY","content":"\u003cp\u003eA sequential explanatory design was utilized for this data collection because the quantitative data (i.e., survey) was implemented during the first stage of the research and analyzed, followed up with qualitative approach using thematic analysis. The researcher chose this specific design in order to explain both the qualitative and quantitative data in two separate phases. Specifically, there was qualitative data being used subsequently and interpretably with clarifying the results from quantitative data analysis, through multiple sources including surveys, interviews, and a Likert scale questionnaire. Data was collected from the population of participants that fit the criteria of selection. Mixed method research designs and strategies can have two unique stages: quantitative followed by qualitative (Clark, 2019).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIn this plan, the researcher first gathers and breaks down the quantitative (numeric) information. The researcher then compiles the information gathered and closely examines qualitative data second in the succession and helps make sense of, or expand on, the quantitative outcomes obtained in the primary stage. The second, qualitative stage, expands on the first, and the two stages are associated. Qualitative data comprises conceptual and descriptive data collected through interviews, observations, and interviews. The analysis of qualitative data allows researchers to explore their ideas therefore, further explaining their quantitative results (Clark, 2019).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe qualities of mixed methods have been broadly examined in research (Clark, 2019).A mixed method design can be particularly helpful when surprising outcomes emerge from a quantitative report (Clark, 2019). The limitations of conducting a mixed method design are the extended time and researching the information (Clark, 2019). The qualities of mixed methods have been broadly examined in research (Clark, 2019). A mixed method design, like sequential explanatory designs, can be particularly helpful when surprising outcomes emerge from a quantitative report (Clark, 2019). The constraints of this plan are the extended time and attainability of assets to gather and investigate the two kinds of information (Clark, 2019).\u003c/p\u003e\n\u003cp\u003eThe researcher utilized Pearson r correlation coefficient for the quantitative portion of the research to investigate the relationship between the beginning Black male teacher and their preparedness as a teacher candidate. The data from the survey was analyzed using the independent sample T-test. The test was based on a .05 probability level to determine the significance. The researcher examined the perceptions of the participants to acquire knowledge of the world through the participants\u0026apos; lived experiences. The sample was conducted nationally with African American male teachers with 1-3 completed years of full-time teaching experience in public schools located throughout the United States. The researcher utilized descriptive statistics to analyze survey data presented to the targeted populations of the research study to investigate the relationship between the beginning Black male teacher and their preparedness as a teacher candidate. Additionally, the data from the survey was analyzed using content analysis to report emerging themes on how the participants relate to the questions presented to them. Data were collected from the population of participants that fit the criteria of selection.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe qualifications of the study included:\u003c/p\u003e\n\u003cp\u003e1. Identifying as African American or Black\u003c/p\u003e\n\u003cp\u003e2. Identifying as male\u003c/p\u003e\n\u003cp\u003e3. Identifying as a beginning teacher and have completed no more than 3 academic years of teaching.\u003c/p\u003e\n\u003cp\u003ePatten and Newhart (2018) state the qualitative research results are presented primarily through words and most commonly interview transcripts and/or field notes. Good qualitative research contributes to science via a logical chain of reasoning, multiple sources of converging evidence to support and explanation, and ruling out rival hypotheses with convincing arguments and solid data (Suter, 2012). Data were obtained from the interview for the study and made logical connection. The researcher analyzed the data holistically which involved reading through the interview transcripts and matching it with survey data. Building upon the survey, the researcher went through the data and identified significant statements, quotes, terms, and sentences that assisted in providing an understanding of how the participants were a part of the phenomenon. Codes were developed, data coded, and connections made based on emerging themes presented. The data analysis began soon after the collection of data was completed.\u003c/p\u003e\n\u003cp\u003eThe researcher conducted interviews with five (5) African American male teachers with 1-3 completed years of full-time teaching experience in public schools located throughout the United States. An 18-item survey instrument with seven (7) demographic items were administered to collect data from Beginning Black Male teachers. The 18-item survey was presented as a Likert-scale survey questionnaire.\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDescription of Data Analysis Methods\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003eThis is a study of beginning Black male teachers. RQ\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003eVariables\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003eInstrument Items\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003eData Analysis Method\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003eRQ1: How do special programs contribute to the preparedness of African American male teacher candidates as first year educators?\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003eDV: Preparedness of AA Male Teacher Candidates\u003c/p\u003e\n \u003cp\u003eIV: Recruitment Strategies\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003eSurvey: 11.G, 11.K, 11.J\u003c/p\u003e\n \u003cp\u003eInterview: 1-4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003eContent Analysis\u003c/p\u003e\n \u003cp\u003eDescriptive\u003c/p\u003e\n \u003cp\u003eStatistics\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003eRQ2: What internal or external factors influence the beginning African American male teachers\u0026rsquo; perceptions of their role in their first through third year of teaching?\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003eIV: Beginning AA male educators\u003c/p\u003e\n \u003cp\u003eIV: Educators\u0026rsquo; perception on the Field of Education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003eSurvey: 11.A- 11.D\u003c/p\u003e\n \u003cp\u003eInterview: 5-7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003eContent Analysis\u003c/p\u003e\n \u003cp\u003eDescriptive\u003c/p\u003e\n \u003cp\u003eStatistics\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003eRQ3: How do beginning African American male teachers rate their classroom training as compared to their lived experiences in their first year of teaching?\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003eDV: Preparedness of AA Male Teacher Candidates\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003eSurvey: 11.E-F, 1.H-I\u003c/p\u003e\n \u003cp\u003eInterview: 8-10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003eContent Analysis\u003c/p\u003e\n \u003cp\u003eDescriptive\u003c/p\u003e\n \u003cp\u003eStatistics\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003eRQ4: What strategies would the beginning African American male teacher suggest for undergraduate teacher preparation programs to employ to meet the expectations of students to be prepared for their role?\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003eDV: Preparedness of AA Male Teacher Candidates\u003c/p\u003e\n \u003cp\u003eIV: Teacher Preparation Programs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003eSurvey: 11.J-11. K\u003c/p\u003e\n \u003cp\u003eInterview: 13-14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003eContent Analysis\u003c/p\u003e\n \u003cp\u003eDescriptive\u003c/p\u003e\n \u003cp\u003eStatistics\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003eRQ5: What strategies would the beginning African American male teachers suggest retaining other AAMT?\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003eDV: Preparedness of AA Male Teacher Candidates\u003c/p\u003e\n \u003cp\u003eIV: Retention\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003eSurvey: 11.F- 11.I\u003c/p\u003e\n \u003cp\u003eInterview: 11-12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003eContent Analysis\u003c/p\u003e\n \u003cp\u003eDescriptive\u003c/p\u003e\n \u003cp\u003eStatistics\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eTable 1. Research Question Alignment Table\u003c/p\u003e"},{"header":"RESULTS","content":"\u003cp\u003eThe researchers conducted an interview to obtain additional feedback on recruitment strategies, beginning African American male educators, the educators\u0026rsquo; perceptions on the field of education, teacher preparation programs and preparedness. The interview portion of the study was to obtain additional feedback on the preparedness of these Beginning African American male teachers. The interviewees were selected on a voluntary basis, randomly, from those who provide their contact information to participate after the initial survey is administered. The researcher selected participants randomly from those who agreed to participate by an online automated randomizer selecting names. The researcher hoped that the interview data can be utilized in future studies to help explore the relationship between factors of internal and external forces that help prepare African American males in preparation to continually fill the gap in the nation\u0026rsquo;s classrooms.\u003c/p\u003e\n\u003cp\u003eQuantitative Analysis\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eQualitative Analysis\u003c/p\u003e"},{"header":"DISCUSSION","content":"\u003cp\u003eThe purpose of this sequential explanatory mixed method study was to understand the beginning Black male teachers\u0026rsquo; (BMT) preparedness, perceptions of the pre-service experience, and give opportunities for retention for Teacher Education Programs. Utilizing a mixed methods approach, this study seeks to help advance perspectives of Teacher Preparation programs and the preparedness of Black male teachers. We would be remiss not to acknowledge the lack of quantitative and mixed methods research related to Black male teachers (Young \u0026amp; Young, 2020). The researcher of this study sought to help advance institutions of higher learning, in effort, to help fill a gap in society and research of this understudied population. \u0026nbsp;An 18-item survey instrument with seven (7) demographic items were administered to collect data from Beginning Black Male teachers. The 18-item survey was presented as a Likert-scale survey questionnaire. The survey presented was used as foundational questions for the interview questions which allowed participants to expound on their answers. The BMT BTs were recruited utilizing Facebook groups, yet only the participants that agreed to participate were considered for the study.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eBased on the researcher\u0026rsquo;s findings, these findings provided insights into how Black male teachers\u0026rsquo; experiences are viewed through the lens of Black males entering the classroom for the first time. The information collected for my study created a convenient framework for Black male teacher preparedness that could be useful for other Black male educators that are beginning the education field. There were themes that were derived via going through the raw data. To effectively generate these themes, the researcher examined results using a variety of data sets in SPSS and Excel spreadsheets for the quantitative data. MAXQDA analysis software was used for the qualitative portion of the data. \u0026nbsp;\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResearch Questions\u0026nbsp;\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe following research questions were designed to gather information about the preparedness of African American male teacher candidates. \u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eRQ1: How do special programs contribute to the preparedness of African American male teacher candidates as first year educators?\u0026nbsp;\u003c/em\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIn order to answer RQ1, a statistical test was run to see if special programs contribute to the preparedness of African American male teacher candidates as first year educators. A(n) Pearson correlation coefficient was computed to assess the linear relationship between special programs to the preparedness of African American male teacher candidates. Based on the results, there was a significant relationship. There was a positive correlation between the two variables, r (92) = .610, p = .001. Thusly, showing a positive correlation between special programs and preparedness of African American male teachers\u0026rsquo; candidates as beginning educators.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eRQ2: What internal or external factors influence the beginning African American male teachers\u0026rsquo; perceptions of their role in their first through third year of teaching?\u0026nbsp;\u003c/em\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTo answer RQ2, a statistical test was conducted to determine if internal or external factors had an influence on beginning African American male teachers\u0026rsquo; perceptions of their role in their first through third year of teaching. Internal forces were based on Collegial Relationships (i.e., Teacher: Student and Student: Student. External forces were based on relationships outside the collegial setting (Parent: Student, Community Members: Student, and Mentors: Student).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIn particular, a Pearson correlation coefficient (Table 2) was computed to assess the linear relationship between internal/external factors of African American teachers\u0026rsquo; perception of their role in first through third year teaching experiences. Based on the results, there was no significance found between those two variables.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cimg 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\" width=\"1077\" height=\"544\"\u003e\u003cbr\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe central qualitative research questions submitted by the researcher were as follow: \u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eRQ3: How do beginning African American male teachers rate their classroom training as compared to their lived experiences in their first year of teaching?\u0026nbsp;\u003c/em\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTo answer RQ3, the questions asked were used to see how African American male teachers rated their classroom training as compared to their lived experiences as first year teachers. BME01 attended an HBCU where he went through a traditional teacher preparation program. In addition, he had at least two years of teaching experience in the classroom. Most of the interviewees had positive things to say about their classroom training as compared to their lived experiences in their first year of teaching. They thought the onsite teaching visits were effective because it gave many of them a firsthand view of seeing a classroom outside of their own teacher preparation programs. Specifically, BME 01, explained how he measured his classroom training as compared to his lived experiences in his first year of teaching. BME01 stated: \u0026ldquo;\u003cem\u003eIf I were to measure the teaching effectiveness of African American male graduates of teacher preparation programs on a scale from 1-10, I would rate my overall teacher preparation program at a 9. It was very effective\u003c/em\u003e.\u0026rdquo; Many of the other interviewees also felt strongly about the impact their teacher preparation had on their success as first year teachers in the classroom. It is important to note that BME01 was a career changer and switched fields later in life, so his experiences were thoroughly discussed.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eBME02 mentioned how he felt like his program \u003cem\u003e\u0026ldquo;did well\u0026rdquo;\u0026nbsp;\u003c/em\u003ein preparing him. BME02, stated \u0026ldquo;\u003cem\u003eMy program did well in preparing me for my role in the classroom. I feel like I can take these tools and pour into my students\u003c/em\u003e.\u0026rdquo; This was important because it showed how proud BME02 was to have an effective program that allowed him to be effective towards his own students. BME03 explained what an effective teacher program meant to him. He was a part of a mentoring program. Therefore, he said going through his teacher preparation program, felt like he was getting \u0026ldquo;\u003cem\u003eguidance and preparing for life inside and outside of the classroom\u003c/em\u003e.\u0026rdquo; BME04 felt like his program was not as effective, but he made the best of the situation. BME04 stated, \u0026ldquo;\u003cem\u003eI felt out of place in the program because I did not think I could do it, but I got myself together and made it through so I \u0026nbsp;could make a difference to the future students who look like me.\u0026rdquo;\u0026nbsp;\u003c/em\u003eThis is critical to the individuals who wish to make a difference. BME05 explained how his classroom teaching reflects how he operated in the classroom. BME05 stated, \u0026ldquo;\u003cem\u003emy teaching program was very important in how I operate in the day-to-day operation in the classroom.\u003c/em\u003e\u0026rdquo;\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eRQ4: What strategies would the beginning African American male teacher suggest for undergraduate teacher preparation programs to employ to meet the expectations of students to be prepared for their role?\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe interview questions asked were to discover what strategies the beginning African American would make teacher suggest for undergraduate teacher preparation programs to employ to meet the expectations of students to be prepared for their role. The interviewees explained various strategies. The interviewees gave praise to their professors and mentors for their classroom training. In particular, how to comprehensively implement a lesson during their first year of teaching. BME01 sounded excited to describe his strategies, he could hardly contain his excitement as he stated, \u0026lsquo;\u003cem\u003eI do think-pair-share strategies with all of my classes\u003c/em\u003e.\u0026rdquo; \u0026ldquo;\u003cem\u003eI want them to know they can share out their ideas to their classmates and not feel embarrassed.\u0026rdquo;\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eBME02, for instance, spoke to the strategies he implemented from his TPP to help him prepare for his role in the classroom. BME02 stated, \u003cem\u003ethe lessons taught/learned during my preservice experience impacted my role as a classroom teacher in several ways. Mainly, I am able to still maintain how I conduct and implement my own lessons today as a lead teacher\u003c/em\u003e. BME02 also mentioned \u0026ldquo;\u003cem\u003egrouping the students by reading levels, for example, during instructional time\u003c/em\u003e.\u0026rdquo; This was a familiar strategy he learned to be beneficial during his student teaching phase of his teacher preparation program.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eBME03 felt his \u0026ldquo;talk\u0026rdquo; model was most helpful. As a researcher, I was most intrigued by what he meant by his \u0026ldquo;talk\u0026rdquo; model. BME03 stated, \u0026ldquo;\u003cem\u003eI use the \u0026ldquo;talk\u0026rdquo; model whenever my students want to address a problem or a concern, I feel like my students may be encountering\u003c/em\u003e\u0026rdquo; BME03 implemented his \u0026ldquo;talk\u0026rdquo; model into his lesson planning period. The \u0026ldquo;talk\u0026rdquo; model is a strategy he adapted from his own former program, Call Me Mister \u0026copy;, BME03 went on to express how implementing this style of discipline has been effective in the classroom. Therefore, suggesting that TPP\u0026rsquo;s adopt a similar strategy to incorporate in their TPP\u0026rsquo;s.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eBME04 uses a modified time-out strategy he picked while a TPP student. BME04 stated \u0026ldquo;\u003cem\u003ewhile I came through the teacher preparation program at a PWI, he felt it necessary to model what he saw the classroom as a pre-service teacher.\u0026rdquo;\u0026nbsp;\u003c/em\u003eHe implemented a five minute \u0026ldquo;time out\u0026rdquo; so students can de-stress (relax) at any time during the class if they feel like they are about to explode. BME04 explained, \u0026ldquo;\u003cem\u003ede-stressing is critical at the K-12 level, so I allow my students to go the \u0026ldquo;de-stress\u0026rdquo; corner before a problem erupts in the classroom\u003c/em\u003e.\u0026rdquo; This is what has helped him make a difference in the classroom.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eBME05 did not state any immediate strategies. However, after listening to him during the interview, it can be suggested that he enjoys the \u0026ldquo;in your face\u0026rdquo; approach. He did state, \u0026ldquo;\u003cem\u003eI just let the students know up front how it is going to be from the jump when they enter my class.\u0026rdquo;\u0026nbsp;\u003c/em\u003eThus, helping him as a beginning African American educator be prepared in the classroom. This strategy implies being open, honest, and vulnerable with students. Interviewees, like BME02, felt his program has done an effective job in equipping him with the necessary strategies to be successful in the classroom.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eRQ5: What strategies would the beginning African American male teachers suggest retaining other AAMT?\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eTo answer RQ5, the interviews conducted amongst the interviewees were to demonstrate what strategies the beginning African American male teach suggest for undergraduate preparation programs to employ and meet expectations of students to be prepared for their role. BME01 stated the importance of getting more Black men to volunteer. BME01 stated, \u0026ldquo;\u003cem\u003eI think a strategy is getting more of us to volunteer in the schools. Yeah, that\u0026rsquo;ll help a lot\u003c/em\u003e!\u0026rdquo; This was interesting as I went through the interviews, because BME02 stated much of the same.\u003c/p\u003e\n\u003cp\u003eBME02 stated, \u0026ldquo;\u003cem\u003eWe need to have weekly meetings or start with some type of town hall to at least get more of us into these schools\u003c/em\u003e.\u0026rdquo; Additionally, BME03 stated reasons that were important. In fact, he got personal and stated how mentoring can become a critical strategy in retaining other AAMT\u0026rsquo;s. Although this was an initial research question, it was asked casually during the interview.\u003c/p\u003e\n\u003cp\u003eBME03 had a potential solution and methodically broke it down in the following manner: \u0026ldquo;\u003cem\u003eMentorship programs are important and felt like I was in one while in the teaching preparation program because the professors were guiding me every step of the way\u003c/em\u003e.\u0026rdquo; BME04 stated a \u0026ldquo;\u003cem\u003esuit and tie\u0026rdquo; initiative\u003c/em\u003e. This means to him, the more [Black] fathers we see taking a liking to \u0026ldquo;suit\u0026rdquo; up their sons, this could possibly be a major way to get more Black men involved not just in the sports. BME05 stated something powerful. He mentioned \u0026ldquo;\u003cem\u003ePrayers with Dad!\u0026rdquo;\u0026nbsp;\u003c/em\u003eIt struck an emotional connection for the researcher and interviewee.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;Both BME03 (Call Me Mister \u0026copy; participant) and BME05 vividly and emotionally responded to the researcher throughout their responses. The researcher, then I asked BME05 to, \u0026ldquo;please explain.\u0026rdquo; BME05 did not hesitate. He stated, \u0026ldquo;\u003cem\u003ePrayers with Dad! is a strategy that could involves all dads, given they have a prayer life, to pray with their children in a prayer style circle before the school day starts each morning for about 5 to 10 minutes\u003c/em\u003e.\u0026rdquo; Thus, showing a positive implementation between strategies and relationships to help beginning African American educators retain other African American Male Teachers (AMT) in the classroom.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eThemes\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThematic analysis is critical in qualitative data analysis. This is a method where the researcher analyzes the data to develop a theme by reading through the data sets (i.e., transcripts based on interview responses). In addition, identifying patterns is one of the most important parts of developing themes for qualitative data set. Themes were developed for the researcher\u0026rsquo;s study based on the interviews. The following are the themes based on the responses from five Black male educators.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTheme 1: Self Efficacy-\u0026nbsp;\u003c/strong\u003eThe interviewees all felt that strong and self-assuring that the teacher preparation program helped them to be effective Black male educators.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTheme 2: Teacher Preparation Programs are effective.\u0026nbsp;\u003c/strong\u003eThe interviewees stated how effectively their respective programs had been in preparing them for the classroom experience.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTheme 3: Family Dynamics and Socioeconomic play a critical role.\u0026nbsp;\u003c/strong\u003eThe interviewees explained how family support and where they come from became a deciding factor as to reasons why they chose to become educators. In addition, some of them even explained how church had a role in them becoming educators.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTheme 4: Representation of Black Men Matters-\u0026nbsp;\u003c/strong\u003eAn overwhelming amount of the interviewees in their interview and expressed their sincerity for having representation. In the interviews, they expressed how they wished they had more role models or teachers that looked them growing up. It would have made all the difference to them. During the interview sessions, the participants explained how they wanted to get into education to become the role models they wish they would have met along the way. They wanted to be role models for the future generation.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSummary of Emergent Themes\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe chart below shows a matrix of how many times each theme emerged during the interview process and was used to determine similarities amongst the participants. The number of times each theme emerged from the interview questions is depicted below with special attention that RQ#5 generated a unanimous response from each interviewee and shows significance (Table 3).\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eMatrix of Most Stated Emergent Themes\u003c/em\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"20%\" valign=\"top\"\u003e\n \u003cp\u003eThemes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20%\" valign=\"top\"\u003e\n \u003cp\u003eSelf-Efficacy\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20%\" valign=\"top\"\u003e\n \u003cp\u003eTeacher Preparation Program (Effectiveness)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20%\" valign=\"top\"\u003e\n \u003cp\u003eFamily Dynamics and Socioeconomics\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20%\" valign=\"top\"\u003e\n \u003cp\u003eRepresentation of Black Men Matters\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"5\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumber of Times Each Theme Emerged\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20%\" valign=\"top\"\u003e\n \u003cp\u003eRQ#3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20%\" valign=\"top\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20%\" valign=\"top\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20%\" valign=\"top\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20%\" valign=\"top\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20%\" valign=\"top\"\u003e\n \u003cp\u003eRQ#4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20%\" valign=\"top\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20%\" valign=\"top\"\u003e\n \u003cp\u003eRQ#5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20%\" valign=\"top\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20%\" valign=\"top\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20%\" valign=\"top\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20%\" valign=\"top\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eTable 3\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAlignment to Theoretical Framework\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe results of this study align to the theoretical framework used to guide the research and all speak to how the participants viewed not only their roles but their Teacher Preparation Programs. Many respondents felt like family and socioeconomic factors, representation, and having a sense of self-efficacy all are contributing factors that play a role in how they navigate within a teacher preparation program. This speaks to Bandura\u0026rsquo;s Theory of Self-Efficacy in a wide range of ways. For self-efficacy, this reoccurring theme emerged in the participant\u0026rsquo;s survey responses and interviews. The participants drew from their experiences and continually mentioned things of self-reflection. The results of the study continually tied back to that this was the belief that one can achieve what one sets out to do, and are healthier, more effective, and generally more successful than those with low self-efficacy expectancies (Bandura, 1977). This theory corresponds to the participant\u0026rsquo;s awareness of their own self-efficacy. Each participant knew they wanted to a representation for other Black and brown students. Representation was an overwhelming talking point for almost every Black male educator, who chose to interview.\u003c/p\u003e\n\u003cp\u003eWhen aligning the results to Harper\u0026rsquo;s Anti-Deficit Achievement, the results of the study speak to how these Black males overcome adversity and obstacles to counterbalance the popular one-sided emphasis on failure of this marginalized population. In a particular case, BME03, the Call Me Mister participant, mentions how instead of choosing failure, the decision to become an educator, the program changed his life. Instead of succumbing to the challenges around him he chose success and reaching for his dreams. Family and religion also played a major factor in reasons they chose to enter the education field and is the intersection of all the theories observed and aide in the preparedness and experiences of these beginning Black Male Educators. It is because of this factor that the Black male educators were able to move beyond the failure mindset and reach for their dreams.\u003c/p\u003e"},{"header":"Declarations","content":"\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eLJ and TD contributed to the article and wrote all parts.All authors reviewed the manscript.\u003c/p\u003e\u003ch2\u003eACKNOWLEDGEMENTS\u003c/h2\u003e \u003cp\u003eThe authors of this article did not have any funding for this research. The authors would like to thank each black male educator that shared their classroom experience. We will not forget your bravery and wanting to see more representation of black male educators in the classrooms for black and brown students.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eConflict of Interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors have no conflict of interest as this is not funded research nor are we gaining any funds by publishing this research. The authors whose names appear immediately above attest that they have no affiliations with or engagement in any organization or body with any financial or otherwise interest.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe data that support the findings of this study are available from the corresponding author, [author initials], upon reasonable request.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe authors of this research can attest all human subjects were given informed consent to participate in this study. The human subjects read informed consents and all were adults and over the age of 18 at the time the research took place.\u0026nbsp;\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eBandura, A (1977). Self-efficacy: Toward a Unifying Theory of Behavioral Change. \u003cem\u003ePsychological Review. 84\u0026nbsp;\u003c/em\u003e(2): 191\u0026ndash;215.\u0026nbsp;\u003c/li\u003e\n \u003cli\u003eCenter For Education Reform. (2020) The Center for Education Reform. United States.\u003c/li\u003e\n \u003cli\u003eClark, V. L. P. (2019). Meaningful integration within mixed methods studies: Identifying why, what, when, and how. \u003cem\u003eContemporary Educational Psychology\u003c/em\u003e, 57, 106-111.\u003c/li\u003e\n \u003cli\u003eGoings, R. B., \u0026amp; Lewis, C. W. (2020). Critically examining the trajectories of Black male preservice teachers: implications for teacher education programs. Peabody Journal of Education, 95(5), 449\u0026ndash;455. hTPPs://doi.org/10.1080/0161956X.2020.1826114\u003c/li\u003e\n \u003cli\u003eLindsay, Constance, Blom, Erica \u0026amp; Tilsley, Alexandra (2017). \u0026ldquo;Diversifying the Classroom: Examining the Teacher Pipeline\u0026rdquo;, Urban Institute.\u003c/li\u003e\n \u003cli\u003eNational Center for Educational Statistics. (2018). Racial/ethnic enrollment in public schools. U.S. Department of Education. hTPPs://nces.ed.gov/programs/coe/pdf/coe_cge.pdf\u003c/li\u003e\n \u003cli\u003eNational Center for Educational Statistics. (2021). Racial/ethnic enrollment in public schools. U.S. Department of Education. hTPPs://nces.ed.gov/programs/coe/pdf/coe_cge.pdf\u003c/li\u003e\n \u003cli\u003ePatten, M. L., \u0026amp; Newhart, M. (2018). Understanding research methods: an overview of the essentials (Tenth). Routledge.\u003c/li\u003e\n \u003cli\u003eSuter, W. N. (2012). Introduction to educational research: A critical thinking approach (2nd ed.). SAGE Publications, Inc. hTPPs://dx.doi.org/10.4135/9781483384443\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-4384546/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4384546/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe purpose of this sequential explanatory mixed method study was to understand the beginning Black male teachers\u0026rsquo; (BMT) preparedness, perceptions of the pre-service experience, and give opportunities for retention for Teacher Education Programs. The significance of this study was to fill the significant void in research, understand the preparedness of African American male students through a teacher preparation program, and to understand the beginning teachers' preparedness and the ability to fully execute their roles as a classroom teacher. This study used a sequential explanatory mixed method design which included survey collection and in-depth interviews to explore the critical lived experiences of the participants. The quantitative data was collected from 104 Black Male Educators. The data content validity was checked with the Pearson r 2-tailed correlation. Qualitative data was collected from the interviews of five (5) beginning Black Male Educators. The researcher interpreted the statements from the interviews and conducted an analysis revealing codes and themes. Four major themes emerged from the data, which were: (1) Self-Efficacy, (2) Teacher Preparation Programs are effective, (3) Family Dynamics and Socioeconomics play a critical role, and (4) Representation of Black Men Matters. The conclusions specified that Teacher Preparation Programs are effective in the trajectory of Black male educators. However, the findings revealed that the further Black male educators move away, in time, from their programs, the less they it as a factor in their effectiveness. The findings revealed that there was a significant relationship between the beginning African American male educator and their preparedness by their Teacher Preparation Program. The findings additionally show that the further the beginning Black Male Educator moves away from their program, the least impact it has on their level of preparedness to fulfill their role. The study revealed several recommendations for practice and research that would improve the lived experiences of Black male educators including mentorships in Teacher Preparation Programs, Partnerships amongst Teacher Preparation Programs and School districts, and Empowerment and Continual Support of Black Male Educators. The participants responses provide a framework for Teacher Preparation Program stakeholders, current administrators, and district-level staff recruiters to follow.\u003c/p\u003e","manuscriptTitle":"A Call To Action: Black Male Educators! It is Your Time: A Mixed Methods Study on Beginning Black Male Educator’s Experiences in Teacher Preparation Programs, Preparedness, and Opportunities for Retention","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-06-04 21:43:13","doi":"10.21203/rs.3.rs-4384546/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"af800c0d-f983-44c8-a268-27e0f90ba489","owner":[],"postedDate":"June 4th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-07-10T01:08:39+00:00","versionOfRecord":[],"versionCreatedAt":"2024-06-04 21:43:13","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4384546","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4384546","identity":"rs-4384546","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}