Abstract
In this study, we focus on the deep analysis of the learning behavior patterns in the task-oriented learning process, which aims to extract and describe the sharable learning processes for adaptive learning support. The LA-Patterns are extracted to represent an individual’s learning behavior patterns. Three categories, named Regular Patterns, Successive Patterns, and Frequent Patterns, are classified to describe users’ learning patterns with different features, which can be utilized to recommend users with the adaptive learning process as the learning guidance. The experiment and analysis results in a learning management system are discussed finally.
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Zhou, X., Jin, Q. (2014). Analysis of Sharable Learning Processes and Action Patterns for Adaptive Learning Support. In: Popescu, E., Lau, R.W.H., Pata, K., Leung, H., Laanpere, M. (eds) Advances in Web-Based Learning – ICWL 2014. ICWL 2014. Lecture Notes in Computer Science, vol 8613. Springer, Cham. https://doi.org/10.1007/978-3-319-09635-3_19
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DOI: https://doi.org/10.1007/978-3-319-09635-3_19
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09634-6
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