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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| 主要作者: | |
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| 格式: | Thesis |
| 語言: | English |
| 出版: |
2012
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| 主題: | |
| 在線閱讀: | http://eprints.utm.my/id/eprint/33351/1/NorBahiahAhmadPFSKSM2012.pdf |
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