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基于课程教学成效的Moodle课程聚类分析 被引量:1

Cluster Analysis of Moodle Course Based on Teaching Effectiveness
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摘要 随着互联网技术的发展,基于网络教学平台开展线上教学的新型模式迅速普及,基于社会构建主义理论的Moodle平台成为国内外高校频繁使用的教学平台之一。该文基于Moodle平台积累的师生交互数据,利用Weka中的K-Means算法按照教学成效对Moodle课程进行聚类,发现Moodle各课程在实施教学方面的特点,并提出后续建设的有益建议。 With the development of Internet technology, this new online teaching model Based on network teaching platform is widely used. The Moodle platform Based on social constructivism has become one of the most frequently used teaching platforms in universities both at home and abroad. Based on the teacher-student interactive data accumulated on the Moodle platform, this paper uses K-Means algorithm in Weka to cluster the Moodle courses according to their teaching effectiveness, and finds out the characteristics of Moodle courses in the implementation of teaching, and afterwards some useful suggestions are put forward.
出处 《电脑知识与技术(过刊)》 2017年第8X期115-117,共3页 Computer Knowledge and Technology
关键词 MOODLE 数据挖掘 聚类分析 K-MEANS算法 WEKA Moodle Data mining Cluster analysis K-Means algorithm Weka
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