Developing a Student Support System for Undergraduate Students in Distance Education Through Learning Analytics

Abstract

Studies in the past decades have shown an increase in number of distance education (DE) programs and institutions offering DE programs. With the rapid development of communication and information technology, the size of enrolment as well as the variety of students enrolled in DE programs have substantially increased. However, the low rate of retention and program completion has been one of the highly recognised concerns being addressed by institutions offering DE programs. Various models and frameworks have already been proposed to identify the factors affecting students’ persistence and program attrition.

This research aims to use learning analytics in identifying the factors that affect the persistence and attrition of students in the Associate in Arts (AA) program offered by the University of the Philippines Open University (UPOU). Based on the analysis of demographic, academic data, learner readiness for DE, information about the student’s environment etc., a learning analytics tool will be developed to predict the students’ probability of completing their courses and to develop a student support system as an intervention mechanism to promote course completion.

Principal Investigator: Charisse Reyes, University of the Philippines Open University, Philippines

Co-investigators:

Patricia B. Arinto, University of the Philippines Open University, Philippines

Sheila R. Bonito, University of the Philippines Open University, Philippines

Rhonna Marie R. Vereña, University of the Philippines Open University, Philippines

Research Site: Los Baños, Philippines