
Abstract : The study addresses the varying retention rates among education students, influenced by multiple factors with the goal of informing policy formulation to enhance student retention at an institutional level. Employing a quantitative archival method, the research analyzes enrollment data and academic records to identify retention trends and conducted interviews with advisers, instructors, and classmates to validate the reasons for the delayed and attrition. It is revealed that academic difficulties, such as failing grades and incomplete grades, are major contributors to student attrition. Socioeconomic factors, financial barriers, and personal factors also play significant roles in students’ decisions to discontinue their education. Difference in the retention according to sex suggests the need for sex-specific support policies. Additionally, significant variations in retention rates across different programs are noted, with lower retention in BSED-Math and BEED programs. These results highlight the importance of addressing the unique challenges faced by different student demographics and programs to improve retention rates. This underscores the necessity of comprehensive support systems and tailored interventions to effectively support all students. By implementing policies that address financial, academic, and personal challenges, institutions can create a more supportive environment conducive to student success.
Education students, retention, academic difficulties, intervention program
Education students, retention, academic difficulties, intervention program
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
