Personalized recommendation for learning resources based-on case reasoning agents

Lina Yang*, Zhijun Yan

*此作品的通讯作者

    科研成果: 书/报告/会议事项章节会议稿件同行评审

    6 引用 (Scopus)

    摘要

    Ample online resources for e-learning provide students with choices and initiative, which however results in much challenge in matching the needs of students with different backgrounds and learning preferences due to information overload. Facing diverse learning resources, students have difficulties in making appropriate choices to meet their learning objectives. This paper proposes a framework of multi-agents collaboration case-based reasoning (MACBR) for personalized recommendations of e-learning resources, taking into account of characteristics of the learner. The paper firstly presents a workflow of Case-based Reasoning (CBR) for learning resource recommendation, and then proposes the collaboration framework of MACBR, finally illustrates the application of MACBR for personalized recommendation in e-learning.

    源语言英语
    主期刊名2011 International Conference on Electrical and Control Engineering, ICECE 2011 - Proceedings
    6689-6692
    页数4
    DOI
    出版状态已出版 - 2011
    活动2nd Annual Conference on Electrical and Control Engineering, ICECE 2011 - Yichang, 中国
    期限: 16 9月 201118 9月 2011

    出版系列

    姓名2011 International Conference on Electrical and Control Engineering, ICECE 2011 - Proceedings

    会议

    会议2nd Annual Conference on Electrical and Control Engineering, ICECE 2011
    国家/地区中国
    Yichang
    时期16/09/1118/09/11

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