Determinants of Students Retention in Higher EducationJournal: International Journal of Science and Research (IJSR) (Vol.7, No. 10)
Publication Date: 2018-10-05
Authors : Myelinda A. Baldelovar;
Page : 1460-1462
Keywords : Correlation; data mining; predictive modelling; retention;
Student retention has become one of the most important measures of success for higher education institutions. This study discusses about educational data mining on the students retention in Bachelor of Science in Computer Science ladderized program of Surigao del Sur State University-Tagbina Campus. It has been observed that after earning an associate diploma, a drastic number of students opted not to continue attaining the BSCS degree. This study aims to predict students retention rate, the relationship between high school GPA in finishing the BSCS degree and the impact of student performance in computer programming subjects in predicting student retention. Results of the study revealed that retention rate of females are higher than males. In addition, sex and HS GPA is not a significant predictor of the retention rate of BSCS students. Correlational analyses showed that average grade in programming 1 and 2 has a strong positive relationship with students retention.
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