HELA: A novel hybrid ensemble learning algorithm for predicting academic performance of students

Education plays a major role in the development of the consciousness of the whole society. Education has been improved by analyzing educational data related to student academic performance. By using data mining techniques and algorithms on data from the educational environment, students' perfor...

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Vydáno v:	Education and information technologies Ročník 27; číslo 4; s. 4521 - 4552
Hlavní autoři:	Keser, Sinem Bozkurt, Aghalarova, Sevda
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.05.2022 Springer Springer Nature B.V
Témata:	Academic Achievement Algorithms Analysis Computer Appl. in Social and Behavioral Sciences Computer Science Computers and Education Data Analysis Data Collection Data mining Education Educational Environment Educational Technology Evaluation Methods Grade Prediction Information Systems Applications (incl.Internet) Mathematics Students User Interfaces and Human Computer Interaction Portugal Ensemble learning algorithm Prediction of academic performance Educational data mining Classification
ISSN:	1360-2357, 1573-7608
On-line přístup:	Získat plný text
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