DEVELOPMENT OF AN EARLY WARNING SYSTEM TO SUPPORT EDUCATIONAL PLANNING PROCESS BY IDENTIFYING AT-RISK STUDENTS

Abstract

The development of data analysis techniques and intelligent systems has had a considerable impact on education, and has seen the emergence of the field of educational data mining (EDM). The Early Warning System (EWS) has been of great use in predicting at-risk students or analyzing