Personalized Knowledge Acquisition through Interactive Data Analysis in E-learning System
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| Title | Personalized Knowledge Acquisition through Interactive Data Analysis in E-learning System |
| Authors | |
| Abstract | Personalized knowledge acquisition is very important for promoting learning efficiency within E-learning system. To achieve this, two key problems involved are acquiring user’s knowledge requirements and discovering the people that can meet the requirements. In this paper, we present two approaches to realize personalized knowledge acquisition. The first approach aims to mine what knowledge the student requires and to what degree. All the interactive logs, accumulated during question answering process, are taken into account to compute each student’s knowledge requirement. The second approach is to construct and analyze user network based on the interactive data, which aims to find potential contributors list. Each student’s potential contributors may satisfy his/her requirement timely and accurately. Then we design an experiment to implement the two approaches. In order to evaluate the performance of our approaches, we make an evaluation with the percentage of satisfying recommendations. The evaluation results show that our approaches can help each student acquire the knowledge that he/she requires efficiently. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2010-05-01 |
| Source | Journal of Computers Vol 5, No 5 (2010) |
| Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |