Data mining for adaptive learning in a TESL-based e-learning system

Authors:
Ya-Huei Wang;Hung-Chang Liao
Affiliations:
Department of Applied Foreign Languages, Chung Shan Medical University, Taiwan and Department of Medical Education, Chung Shan Medical University Hospital, No. 110, Sec. 1, Jian-Koa N. Road, Taich ...;Department of Health Services Administration, Chung Shan Medical University, Taiwan and Department of Medical Education, Chung Shan Medical University Hospital, No. 110, Sec. 1, Jian-Koa N. Road, ...
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

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Abstract

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.