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VocaTest: An intelligent tutoring system for vocabulary learning using the "mLearning" approach

URI
https://hdl.handle.net/10497/217
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Type
Conference Paper
Files
 2005v3.pdf (87.36 KB)
Citation
Sabbir Ahmed Kazi. (2005). VocaTest: An intelligent tutoring system for vocabulary learning using the "mLearning" approach. In Proceedings of the Redesigning Pedagogy: Research, Policy, Practice Conference. National Institute of Education (Singapore).
Author
Sabbir Ahmed Kazi
Subjects
  • mLearning

  • Intelligent Tutoring ...

  • JAVA

Abstract
Measuring student’s knowledge about the subject matter is a key challenge for any computer aided learning (CAL) system, and eLearning is no exception. A good pedagogical framework is essential in order to create an effective teaching and learning environment over the Internet where lessons can be delivered according to student’s performance. The Web-based Intelligent Learning Environment (WILE) is such a framework, which has all four essential components of a typical Intelligent Tutoring System, namely, 1)the communication module, 2)the pedagogical module, 3)the student model and 4) an expert module, but deployed over a client-server architecture. Web-based learning or eLearning has generated a great deal of interest among the educators around the world and made teaching and learning possible “anytime”, “anywhere” as long as an Internet connection is available through a computer. Over the time, eLearning has matured from a place for publishing plain content to an adaptive learning environment. Recently, with the extended features of mobile phones and other handheld devices, a newer way of teaching and learning emerged – mobile learning or mLearning. mLearning offers greater flexibility over eLearning’s original “anytime” and “anywhere” capability, but has serious constrains in displaying large content. This paper reviews the state-of-the-art in mLearning technology, argues about the appropriate usage of mLearning and finally, introduces an intelligent tutoring system for vocabulary learning implemented in a mLearning environment.
Date Issued
2005
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