A Fuzzy Cognitive Map like Recommender System of Learning Resources
In this paper we propose a Fuzzy Cognitive Maps (FCMs) to recommender Learning Resources in a Smart Classroom. We have proposed a Smart Environment for a Classroom in previous works, based on Multi-agent Systems, called SaCI. One of its agents is a recommender system of Learning Resources. In this p...
Saved in:
| 主要作者: | |
|---|---|
| 其他作者: | , |
| 格式: | article |
| 出版: |
2016
|
| 主题: | |
| 在线阅读: | http://dspace.utpl.edu.ec/handle/123456789/18741 |
| 标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
添加标签 | 总结: | In this paper we propose a Fuzzy Cognitive Maps (FCMs) to recommender Learning Resources in a Smart Classroom. We have proposed a Smart Environment for a Classroom in previous works, based on Multi-agent Systems, called SaCI. One of its agents is a recommender system of Learning Resources. In this paper, we define this recommender system using Fuzzy Cognitive Maps. Our recommender system exploits the knowledge, learns, discovers new information, infers preferences, among other thing. For that, it uses five types of knowledge from SaCI: students, learning resources, topics, context and criticism. The performance results of our recommender system based on FCMs are very encouraging. |
|---|