Lau, R. Y. K.; Song, Dawei; Li, Yuefeng; Cheung, T. C. H. and Hao, Jin-Xing
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|DOI (Digital Object Identifier) Link:||https://doi.org/10.1109/TKDE.2008.137|
|Google Scholar:||Look up in Google Scholar|
With the widespread applications of electronic learning (e-Learning) technologies to education at all levels, increasing number of online educational resources and messages are generated from the corresponding e-Learning environments. Nevertheless, it is quite difficult, if not totally impossible, for instructors to read through and analyze the online messages to predict the progress of their students on the fly. The main contribution of this paper is the illustration of a novel concept map generation mechanism which is underpinned by a fuzzy domain ontology extraction algorithm. The proposed mechanism can automatically construct concept maps based on the messages posted to online discussion forums. By browsing the concept maps, instructors can quickly identify the progress of their students and adjust the pedagogical sequence on the fly. Our initial experimental results reveal that the accuracy and the quality of the automatically generated concept maps are promising. Our research work opens the door to the development and application of intelligent software tools to enhance e-Learning.
|Item Type:||Journal Article|
|Copyright Holders:||2009 IEEE|
|Academic Unit/School:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Depositing User:||Colin Smith|
|Date Deposited:||02 Jul 2009 11:16|
|Last Modified:||30 Nov 2016 21:29|
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