Exploring User Feedback of a E-Learning System: A Text Mining Approach
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.
Recommended Citation
Yu, V. W., & Luna, R. (2013). Exploring User Feedback of a E-Learning System: A Text Mining Approach. Lecture Notes in Computer Science, 8018(PART 3), pp. 182-191. Springer Verlag.
The definitive version is available at https://doi.org/10.1007/978-3-642-39226-9_21
Meeting Name
15th International Conference on Human Interface and the Management of Information, HIMI 2013 (2013: Jul. 21-26, Las Vegas, NV)
Department(s)
Business and Information Technology
Second Department
Civil, Architectural and Environmental Engineering
Keywords and Phrases
E-learning systems; Survey data; Text mining; Text mining techniques; User feedback; E-learning; Learning systems; Surveying; Surveys; Data mining
International Standard Book Number (ISBN)
978-3-642-39225-2
International Standard Serial Number (ISSN)
0302-9743; 1611-3349
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2013 Springer Verlag, All rights reserved.
Publication Date
01 Jul 2013
