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Data mining for adaptive learning in a TESL-based e-learning system
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DOI：10.1016/j.eswa.2010.11.098.png)
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摘要
En 中文
This study proposes an Adaptive Learning in Teaching English as a Second Language (TESL) for e-learning system (AL-TESL-e-learning system) that considers various student characteristics. This study explores the learning performance of various students using a data mining technique, an artificial neural network (ANN), as the core of AL-TESL-e-learning system. Three different levels of teaching content for vocabulary, grammar, and reading were set for adaptive learning in the AL-TESL-e-learning system. Finally, this study explores the feasibility of the proposed AL-TESL-e-learning system by comparing the results of the regular online course control group with the AL-TESL-e-learning system adaptive learning experiment group. Statistical results show that the experiment group had better learning performance than the control group; that is, the AL-TESL-e-learning system was better than a regular online course in improving student learning performance. (c) 2010 Elsevier Ltd. All rights reserved.
Keyword:
Adaptive learning
Data mining
Neural network
e-Learning system
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期刊
IF:
7.5
论文数:
3.0W
被引数:
10.2W
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