Multi layer feed forward artificial neural network for learning styles identification
Accommodating learning styles in adaptive educational hypermedia system (AEHS) may lead to an increased effectiveness and efficiency of the learning process as well as teacher and learner satisfaction. The premise is that a fact that learning in the classroom is less efficient, when teachers will no...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2015
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| Online Access: | http://eprints.utem.edu.my/id/eprint/16821/1/Multi%20Layer%20Feed%20Forward%20Artificial%20Neural%20Network%20For%20Learning%20Styles%20Identification.pdf http://eprints.utem.edu.my/id/eprint/16821/2/Multi%20layer%20feed%20forward%20artificial%20neural%20network%20for%20learning%20styles%20identification.pdf |
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http://eprints.utem.edu.my/id/eprint/16821/1/Multi%20Layer%20Feed%20Forward%20Artificial%20Neural%20Network%20For%20Learning%20Styles%20Identification.pdfhttp://eprints.utem.edu.my/id/eprint/16821/2/Multi%20layer%20feed%20forward%20artificial%20neural%20network%20for%20learning%20styles%20identification.pdf