A multi-objective evolutionary algorithm-based soft computing model for educational data mining A distance learning experience

PurposeThe purpose of this paper is to propose a soft computing model based on multi-objective evolutionary algorithm (MOEA), namely, modified micro genetic algorithm (MmGA) coupled with a decision tree (DT)-based classifier, in classifying and optimising the students’ online interaction activities...

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Veröffentlicht in:	AAOU journal Jg. 12; H. 1; S. 106 - 123
Hauptverfasser:	Tan, Choo Jun, Lim, Ting Yee, Bong, Chin Wei, Liew, Teik Kooi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bingley Emerald Group Publishing Limited 02.05.2017
Schlagworte:	Academic Achievement Adult Basic Education Adult Students Case studies Cluster analysis Data mining Distance learning Educational Attainment Educational materials Educational research Educational Resources Genetic algorithms Internet Open educational resources School Holding Power Statistical methods Student Participation Student retention Teachers
ISSN:	1858-3431, 2414-6994, 2414-6994
Online-Zugang:	Volltext
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