Demographics of Students as Predictors on Satisfaction of Blended Learning in UM Digos College

A growing number of people are learning through an online learning approach due to the COVID-19 pandemic. However, this learning mode entails identifying what factors affect student satisfaction with their learning. The purpose of this study was to determine the level of satisfaction of UM Digos College students in conducting blended learning in terms of their demographics as predictors, such as age, gender, year level, marital status, employment status, major/course, and educational background of guardians/parents. Three hundred sixty-four respondents participated in this study by answering the student survey satisfaction form (SSSF). Mean, standard deviation, correlation analysis, and multiple linear regression were utilized to analyze the data. In this study, the overall student satisfaction in blended learning was satisfied. This means that the students are motivated and more likely to get another blended course. Moreover, the result showed that among the students' demographics, only year level significantly predicted the student's satisfaction with blended learning. This means that any year level can influence the level of satisfaction. Attaining a higher degree level results in a decreased level of satisfaction. Based on the model obtained, the institution may provide increased learning flexibility by maintaining their academic performance effectively at every year level during blended learning. The study findings recommend that the academic department may review the kind of teaching and learning activities conducted per year level. Future researchers should also aim to find other predictors that could be significant in the students' satisfaction with blended learning.