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作 者:贺超波[1] 林晓凡[2] 程俊伟 汤庸[1] 张倚诺 He Chaobo;Lin Xiaofan;Cheng Junwei;Tang Yong;Zhang Yinuo(School of Computer Science,South China Normal University,Guangzhou 510631,Guangdong;School of Information Technology in Education,South China Normal University,Guangzhou 510631,Guangdong)
机构地区:[1]华南师范大学计算机学院,广东广州510631 [2]华南师范大学教育信息技术学院,广东广州510631
出 处:《中国电化教育》2024年第6期38-45,共8页China Educational Technology
基 金:国家自然科学基金面上项目“社交化学习环境下面向动态异质学习者关系网络的重叠社区发现方法研究”(项目编号:62077045)研究成果。
摘 要:学习型社区建设有助于加快教育强国落地,社区中在线学习者的各种协作互动行为,促进了学习者关系网络的生成。对该网络进行深入分析,可以挖掘其中蕴含的社区学习的本质特征。该研究提出从社区发现角度对学习者关系网络进行分析,首先设计基于图卷积网络和非负矩阵分解,并集成学习者关系网络信息和文本内容信息的新型学习型社区发现方法,提出四个社区特征度量指标,在真实的学习者关系网络中进行应用分析。结果表明,所提出的分析方法能有效挖掘学习者关系网络存在的学习兴趣主题社区,还可以对社区整体和社区成员个体进行特征分析,并且分析结果可为引导学习者的在线交互协作行为提供决策支持。最后,形成“构建可视化学习型社区—开展社区之间知识分享—促进各社区的互动合作—指标反馈下的反思迭代”的学习型社区赋能策略。通过策略赋能学习型社区高质量发展,以社区新质生产力组合助推教育强国建设。The building of learning communities contributes significantly to the realization of education power.Various collaborative and interactive behaviors of online learners in the community facilitate the formation of learner relationship networks.A deep analysis of these networks can uncover intrinsic characteristics of community learning.This study proposes to analyze the learner relationship networks from the perspective of community discovery.It starts by designing a novel method for discovering learning communities based on graph convolution networks and nonnegative matrix factorization,integrating information from the learner’s relational network and textual content.It introduces four community feature measurement metrics for applications in read-world learner relationship networks.The results show that the proposed analysis method can effectively uncover interest-themed communities within the learner relationship networks.It also allows for the characterization of the community as a whole and individual member,providing the decision support to guide the online interaction and collaborative behaviors of learners.Finally,it develops an online learning community enabling strategy,comprising“building visual learning communities,facilitating knowledge sharing among communities,promoting interaction and cooperation between communities,and reflecting and iterating under the feedback of indicators”.Through the strategy to enable the high-quality development of learning communities,with the combination of community new quality productivity to foster a learning community,which will boost the development of education powerhouse.
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