Granular mining approach for identifying student's learning style in e-learning environment
Pattern multiplicity of interaction in e-learning can be intelligently examined to diagnose students’ learning style. This is important since a student’s behaviour while learning online is among the significant parameters for adaptation in elearning system. Currently, Felder Silverman (FS) is a comm...
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フォーマット: | 学位論文 |
言語: | English |
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2012
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オンライン・アクセス: | http://eprints.utm.my/id/eprint/33351/1/NorBahiahAhmadPFSKSM2012.pdf http://eprints.utm.my/id/eprint/33351/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69825?site_name=Restricted Repository |
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