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Evaluations of Online Learning Activities Based on LMS Logs

Evaluations of Online Learning Activities Based on LMS Logs

Paul Lam, Judy Lo, Jack Lee, Carmel McNaught
Copyright: © 2012 |Pages: 18
ISBN13: 9781466600119|ISBN10: 146660011X|EISBN13: 9781466600126
DOI: 10.4018/978-1-4666-0011-9.ch814
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MLA

Lam, Paul, et al. "Evaluations of Online Learning Activities Based on LMS Logs." Virtual Learning Environments: Concepts, Methodologies, Tools and Applications, edited by Information Resources Management Association, IGI Global, 2012, pp. 1767-1784. https://doi.org/10.4018/978-1-4666-0011-9.ch814

APA

Lam, P., Lo, J., Lee, J., & McNaught, C. (2012). Evaluations of Online Learning Activities Based on LMS Logs. In I. Management Association (Ed.), Virtual Learning Environments: Concepts, Methodologies, Tools and Applications (pp. 1767-1784). IGI Global. https://doi.org/10.4018/978-1-4666-0011-9.ch814

Chicago

Lam, Paul, et al. "Evaluations of Online Learning Activities Based on LMS Logs." In Virtual Learning Environments: Concepts, Methodologies, Tools and Applications, edited by Information Resources Management Association, 1767-1784. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0011-9.ch814

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Abstract

Effective record-keeping, and extraction and interpretation of activity logs recorded in learning management systems (LMS), can reveal valuable information to facilitate eLearning design, development and support. In universities with centralized Web-based teaching and learning systems, monitoring the logs can be accomplished because most LMS have inbuilt mechanisms to track and record a certain amount of information about online activities. Starting in 2006, we began to examine the logs of eLearning activities in LMS maintained centrally in our University (The Chinese University of Hong Kong) in order to provide a relatively easy method for the evaluation of the richness of eLearning resources and interactions. In this chapter, we: 1) explain how the system works; 2) use empirical evidence recorded from 2007 to 2010 to show how the data can be analyzed; and 3) discuss how the more detailed understanding of online activities have informed decisions in our University.

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