A Genetic Algorithm-Based Personalized Remedial Learning System for Learning Object-Oriented Concepts of Java

Contribution: An online genetic algorithm-based remedial learning system is presented in order to strengthen students' understanding of object-oriented programming (OOP) concepts by tailoring personalized learning materials according to each student's strengths and weaknesses. Background:...

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Veröffentlicht in:	IEEE transactions on education Jg. 62; H. 4; S. 237 - 245
Hauptverfasser:	Lin, Che-Chern, Liu, Zi-Cheng, Chang, Chih-Lin, Lin, Yu-Wen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.11.2019 Institute of Electrical and Electronics Engineers, Inc The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptive computer learning Algorithms Biological cells Cognitive Style College Students Computer Assisted Instruction Computer programming computer science Computer Science Education Education Educational materials educational software Electronic Learning Foreign Countries Genetic algorithms High Achievement individual differences Individualized Instruction Instructional Effectiveness Instructional Materials Java Learning Learning systems Low Achievement Machine learning Mathematics Object oriented programming Programming Programming Languages Programming profession Remedial Instruction remedial learning Students Teaching methods Test Construction Taiwan
ISSN:	0018-9359, 1557-9638
Online-Zugang:	Volltext
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