Developing a Student Support System Through Learning Analytics for Undergraduates at the University of the Philippines Open University

Abstract

Developing a Student Support System Through Learning Analytics for Undergraduates at the University of the Philippines Open University

 

Through learning analytics, this study identified various factors affecting students’ success in the Associate in Arts (AA) program of the University of the Philippines Open University (UPOU). Data from various sources were obtained for the analysis of demographic information, previous academic experiences, learner readiness for distance education, and students’ learning behavior. Based on the analysis of their demographic information, it was found that students’ age, gender, civil status, occupation and location are factors influencing their completion of the program. Completion of the Distance Education Readiness module before beginning the AA program has also been found to have a positive impact on program completion. Moreover, prior academic experiences gained by the students before entering the AA program, such as previous enrollments in other universities or colleges, has also been found to have a positive impact on the students’ success in the program. While in the program, academic factors such as a student’s enrollment of required and prescribed courses and activities in the learning management system (i.e., MyPortal) have been found to contribute significantly to a student’s success. A statistical model that can predict the probability of a student’s success in the AA program based on their demographic characteristics and completion of the Distance Education Readiness Module was obtained in this study.

A key aspect of this study is the proposal for the development of a student support system based on the characteristics and attributes of learners as well as their academic behaviors. This student support system aims to promote the students’ success in the AA program.

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