File(s) not publicly available
An intelligent tool for early drop-out prediction of distance learning students
Version 2 2024-06-06, 08:14
Version 1 2022-01-21, 08:13
journal contribution
posted on 2024-06-06, 08:14 authored by CJ Tan, TY Lim, TK Liew, Chee Peng LimAn intelligent tool for early drop-out prediction of distance learning students
History
Journal
Soft ComputingVolume
26Pagination
5901-5917Location
Berlin, GermanyPublisher DOI
ISSN
1432-7643eISSN
1433-7479Language
EnglishPublication classification
C1 Refereed article in a scholarly journalPublisher
SpringerUsage metrics
Categories
Keywords
Activity theoryClassificationComputer ScienceComputer Science, Artificial IntelligenceComputer Science, Interdisciplinary ApplicationsDIFFERENTIAL EVOLUTIONEarly drop-out detectionENSEMBLEEvolutionary algorithmGENETIC ALGORITHMKNOWLEDGEMULTIOBJECTIVE EVOLUTIONARY ALGORITHMONLINEOnline learningPATTERNSPERFORMANCEScience & TechnologySELECTIONTechnologyUNIVERSITY
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC