Abstract
Given a collection of survey comments evaluating an E-learning system, the text mining technique is applied to discovering and extracting knowledge from the comments. The purpose is to categorize the comments into several groups in an attempt to identify key criticisms or praises from students using the E-learning system. This study is able to assist the evaluators of the E-learning system to obtain the summarized key terms of major “concerns” without going through potentially huge amount of survey data.
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Yu, WB., Luna, R. (2013). Exploring User Feedback of a E-Learning System: A Text Mining Approach. In: Yamamoto, S. (eds) Human Interface and the Management of Information. Information and Interaction for Learning, Culture, Collaboration and Business,. HIMI 2013. Lecture Notes in Computer Science, vol 8018. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39226-9_21
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DOI: https://doi.org/10.1007/978-3-642-39226-9_21
Publisher Name: Springer, Berlin, Heidelberg
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