Using Educational Data Mining to Predict Students’ Academic Performance for Applying Early Interventions

Aim/Purpose: One of the main objectives of higher education institutions is to provide a high-quality education to their students and reduce dropout rates. This can be achieved by predicting students’ academic achievement early using Educational Data Mining (EDM). This study aims to predict students...

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Veröffentlicht in:	Journal of Information Technology Education. Innovations in Practice Jg. 20; S. 121 - 137
Hauptverfasser:	Alturki, Sarah, Alturki, Nazik
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Santa Rosa Informing Science Institute 2021
Schlagworte:	Academic Achievement Algorithms College Preparation College Science Computer Networks Core Curriculum Data Analysis Data Collection Data mining Database Management Systems Dropout Prevention Dropout Rate Early Intervention Educational Change Educational Quality Educational Technology Failure Females Foreign Countries Grade Point Average Grade Prediction Higher Education Influence of Technology Information Systems Information Technology Language Role Language Skills Low Achievement Mathematics Education Mathematics Instruction Outcomes of Education Programming Languages Student Attrition Students Undergraduate Students Saudi Arabia
ISSN:	2165-3151, 2165-316X
Online-Zugang:	Volltext
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