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An intelligent tool for early drop-out prediction of distance learning students

Tan, CJ, Lim, TY, Liew, TK and Lim, Chee Peng 2022, An intelligent tool for early drop-out prediction of distance learning students, Soft Computing, vol. 26, pp. 5901-5917, doi: 10.1007/s00500-021-06604-5.

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Title An intelligent tool for early drop-out prediction of distance learning students
Author(s) Tan, CJ
Lim, TY
Liew, TK
Lim, Chee PengORCID iD for Lim, Chee Peng orcid.org/0000-0003-4191-9083
Journal name Soft Computing
Volume number 26
Start page 5901
End page 5917
Total pages 17
Publisher Springer
Place of publication Berlin, Germany
Publication date 2022
ISSN 1432-7643
1433-7479
Keyword(s) Activity theory
Classification
Computer Science
Computer Science, Artificial Intelligence
Computer Science, Interdisciplinary Applications
DIFFERENTIAL EVOLUTION
Early drop-out detection
ENSEMBLE
Evolutionary algorithm
GENETIC ALGORITHM
KNOWLEDGE
MULTIOBJECTIVE EVOLUTIONARY ALGORITHM
ONLINE
Online learning
PATTERNS
PERFORMANCE
Science & Technology
SELECTION
Technology
UNIVERSITY
Language eng
DOI 10.1007/s00500-021-06604-5
Field of Research 0102 Applied Mathematics
0801 Artificial Intelligence and Image Processing
1702 Cognitive Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30161803

Document type: Journal Article
Collection: Institute for Intelligent Systems Research and Innovation (IISRI)
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Created: Fri, 21 Jan 2022, 07:13:41 EST

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