Educational data mining: prediction of students' academic performance using machine learning algorithms

Educational data mining has become an effective tool for exploring the hidden relationships in educational data and predicting students' academic achievements. This study proposes a new model based on machine learning algorithms to predict the final exam grades of undergraduate students, taking...

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Veröffentlicht in:	Smart learning environments Jg. 9; H. 1; S. 1 - 19
1. Verfasser:	Yagci, Mustafa
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Singapore 03.03.2022 Springer Springer Nature B.V SpringerOpen
Schlagworte:	Academic Achievement Accuracy Algorithms Artificial Intelligence Classification Colleges & universities Computers and Education Data Analysis Data mining Decision analysis Decision making Decision trees Early warning systems Education Educational data mining Foreign Countries Grades (Scholastic) Learning analytics Machine learning Mathematics Predicting achievement Prediction Students Support vector machines Tests Towards enhancing learning using open educational resources Undergraduate Students Undergraduate study Turkey Predicting achievement Educational data mining Learning analytics Early warning systems Machine learning
ISSN:	2196-7091, 2196-7091
Online-Zugang:	Volltext
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