Abstract
In this study, in order to support and facilitate the web-based learning, we concentrate on user learning behavior pattern discovery in a task-oriented learning process. Based on a hierarchical graph model which can describe relations among learning actions, learning activities, learning sub-tasks and learning tasks, we introduce the formal definitions for Learning Action Pattern and Goal-driven Learning Group to discover and represent users’ learning behavior patterns within a learning task process. Two integrated algorithms are developed to calculate and generate the Learning Action Patterns for an individual user and the Goal-driven Learning Groups for a number of users, which can benefit sharing of learning activities and improve learning efficiency in e-learning environments. Finally, the design of a prototype system with experiment results is discussed.
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Zhou, X., Chen, J., Jin, Q. (2013). Discovery of Action Patterns in Task-Oriented Learning Processes. In: Wang, JF., Lau, R. (eds) Advances in Web-Based Learning – ICWL 2013. ICWL 2013. Lecture Notes in Computer Science, vol 8167. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41175-5_13
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DOI: https://doi.org/10.1007/978-3-642-41175-5_13
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