文献类型：期刊文献

中文题名：在线学习中基于群体智能的学习路径推荐方法

英文题名：A Method of Swarm Intelligence-Based Learning Path Recommendation for Online Learning

作者：程岩[1]

机构：[1]华东理工大学商学院,上海200237

年份：2011

卷号：20

期号：2

起止页码：232

中文期刊名：系统管理学报

外文期刊名：Journal of Systems & Management

收录：CSTPCD;;北大核心:【北大核心2008】；CSSCI:【CSSCI_E2010_2011】；

基金：国家自然科学基金资助项目(7087103971001037)

语种：中文

中文关键词：在线学习;学习路径;蚁群算法

外文关键词：online-learning; learning path; ant colony optimization algorithm

摘要：研究在线学习中学习路径的推荐问题。在线学习中的推荐系统可以自动识别学习者的个性化需求,主动推荐符合用户需求的学习路径,从而提高在线学习系统的个性化服务水平。对此,提出了一种扩展蚁群算法用于解决学习路径的推荐问题,该算法在进行推荐决策时综合参考了学习者群体对学习路径的评价以及目标用户在知识水平和学习风格上的特点。模拟实验结果表明,该方法具有较高的实用性和精确性。
The problem of learning path recommendation for online learning is investigated in this paper. The recommendation system of online learning can identify the learner＇s personalized demand and recommend learning path for learner in an active way, so as to improve personalized service in online learning systems. In this paper, an extended ant colony algorithm is presented to solve this problem of learning path recommendation, which synthetically considers information of a group of learners and the information of target user＇s knowledge level and learning style in the process of recommendation decision. The simulation experiment validates that the approach proposed in this paper has high practicability and accuracy.