Learning Activity Sharing and Individualized Recommendation Based on Dynamical Correlation Discovery
Autor: | Jian Chen, Timothy K. Shih, Qun Jin, Xiaokang Zhou |
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Rok vydání: | 2012 |
Předmět: | |
Zdroj: | Advances in Web-Based Learning-ICWL 2012 ISBN: 9783642336416 ICWL |
Popis: | In this study, we concentrate on learning activity sharing and individualized recommendation based on dynamical user correlations, in order to support and facilitate the web-based learning process integrated with social streams. A user correlation-based learning activity model is built to demonstrate the relations among user, learning task and learning activity. Based on these, an integrated method is proposed to provide a target user with the possible learning activity as the next learning step, which is expected to enhance the learning efficiency. Finally, design of a Moodle-based prototype system is discussed. |
Databáze: | OpenAIRE |
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