基于约束聚类的学习共同体智能构建与应用研究被引量：7

Intelligent Construction and Application of Learning Community Based on Constraint Clustering

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摘要在线学习共同体改变了传统在线学习中的"孤岛式"学习结构,为智慧共享与知识协同构建提供了有效的支撑环境。构建良好的在线学习共同体,已成为目前在线学习研究领域中的核心问题。研究将在线学习共同体的构建抽象为带约束聚类问题,并结合Kolb学习风格分类模型,提出了基于约束聚类的在线学习共同体智能构建方法,通过学习者在认知加工维度和感知维度的偏好进行学习风格建模,然后结合均值飘移算法和改进层次聚类算法对学习者风格进行带约束聚类,实现学习共同体在学习风格层面的"组内异质性"和"组间同质性"。最后,将研究成果应用于教学实践中,结果表明:相对于随机构建方法,智能构建方法更有利于高层知识的协同建构和学习成绩的提高。 The online learning community has changed the "isolated" learning structure of the traditional e-learning, and provides an effective environment for sharing intelligence and constructing knowledge collaboratively. Building a good online learning community has become the core problem in the field of online learning research. In this paper, the construction of online learning community is abstracted as a constrained clustering problem and an intelligent construction method of online learning community based on constrained clustering is proposed, which introduces Kolb learning style classification model. The intelligent method uses learners’ preferences on cognitive processing dimension and perceptual dimension to model learning style, and then combines mean shift algorithm and improves hierarchical clustering algorithm to cluster learners’ styles with constraints, so as to realize "intra-group heterogeneity" and "inter-group homogeneity" of learning community at the level of learning style. Finally, the research are applied to the teaching practice and the results show that, compared with the random construction method, the intelligent construction method is more conducive to the collaborative construction of high-level knowledge and the improvement of learning performance.

作者孔维梁韩淑云 Kong Weiliang;Han Shuyun(Department of Information Technology,Henan Normal University,Xinxiang Henan 453007)

机构地区河南师范大学教育技术系

出处《中国电化教育》 CSSCI 北大核心 2019年第10期32-37,46,共7页 China Educational Technology

基金教育部人文社会科学研究青年基金项目“网络学习共同体意见领袖的形成机制及优化策略研究”(项目编号:19YJC880049) 河南省高等学校重点科研项目“河南省高校优质资源共享模式研究”(项目编号:15A880011)的阶段性成果

关键词学习共同体学习风格异质原则智能构建知识建构学习成绩 Learning Community Learning Style Heterogeneity Principle Intelligence Construction Knowledge Construction Achievement

分类号 G434 [文化科学—教育学]