TY - GEN
T1 - Data Mining Techniques Used in Predicting Student Retention in Higher Education
T2 - 2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019
AU - Shuqfa, Zaid
AU - Harous, Saad
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - Predicting student retention is a crucial task for all stakeholders in higher education. This paper surveyed the Educational Data Mining (EDM) literature to explore the most recent methods used in building predictive models to predict student's retention, and to foresee the future trends in different context of higher education. We review a diversified set of approaches, models, data sets, tools, techniques, and performance measures. The approaches vary as the educational context varies where opportunities and challenges are associated with each approach. We also present a discussion and a foresight of future directions.
AB - Predicting student retention is a crucial task for all stakeholders in higher education. This paper surveyed the Educational Data Mining (EDM) literature to explore the most recent methods used in building predictive models to predict student's retention, and to foresee the future trends in different context of higher education. We review a diversified set of approaches, models, data sets, tools, techniques, and performance measures. The approaches vary as the educational context varies where opportunities and challenges are associated with each approach. We also present a discussion and a foresight of future directions.
KW - EDM
KW - Educational Data Mining
KW - Learning Analytics
KW - Prediction
KW - Predictive Models
KW - Retention
KW - Student Success
UR - http://www.scopus.com/inward/record.url?scp=85078937963&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85078937963&partnerID=8YFLogxK
U2 - 10.1109/ICECTA48151.2019.8959789
DO - 10.1109/ICECTA48151.2019.8959789
M3 - Conference contribution
AN - SCOPUS:85078937963
T3 - 2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019
BT - 2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 19 November 2019 through 21 November 2019
ER -