Development of a Web-Based System for Diagnosing Student Learning Problems on English Tenses

Development of a Web-Based System for Diagnosing Student Learning Problems on English Tenses

Gwo-Jen Hwang (National University of Tainan, Taiwan), Hsiang Cheng (National Chi Nan University, Taiwan), Carol H.C. Chu (National Chi Nan University, Taiwan), Judy C.R. Tseng (Chung-Hua University, Taiwan) and Gwo-Haur Hwang (Ling Tung University, Taiwan)
Copyright: © 2007 |Pages: 19
DOI: 10.4018/jdet.2007100105
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Abstract

In the past decades, English learning has received lots of attention all over the world, especially for those who are not native English speakers. Various English learning and testing systems have been developed on the Internet. Nevertheless, most existing English testing systems represent the learning status of a student by assigning that student with a score or grade. This approach makes the student aware of his/her learning status through the score or grade, but the student might be unable to improve his/her learning status without further guidance. In this paper, an intelligent English tense learning and diagnostic system is proposed, which is able to identify student learning problems on English verb tenses and to provide personalized learning suggestions in accordance with each student’s learning portfolio. Experimental results on hundreds of college students have depicted the superiority of the novel approach.

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