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...
| 第一著者: | |
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| フォーマット: | 学位論文 |
| 言語: | 英語 |
| 出版事項: |
2012
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| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/33351/1/NorBahiahAhmadPFSKSM2012.pdf |