远程教育杂志2025，Vol.43Issue(2)：85-93,9.DOI:10.15881/j.cnki.cn33-1304/g4.2025.02.009
突破单维局限:多层网络分析框架下的学习者交互解构
Beyond Unidimensional Analysis:Deconstructing Learner Interactions Through a Multilayer Network Framework
摘要
Abstract
Learner interaction is fundamental to the process of collaborative knowledge construction in online learning.Analyzing these interactions is critical for understanding how online learning unfolds and evaluating its effectiveness.However,traditional social network analysis(SNA)falls short in capturing the multidimensional and dynamic nature of learner interactions.Multilayer network analysis(MNA)offers a promising alternative by modeling complex systems composed of multiple interconnected layers and examining the interactions and dependencies across them.This approach enables a comprehensive analysis of learner interaction data at the individual,group,and system-wide levels.Compared to SNA,MNA presents three distinct advantages:it facilitates the systematic collection of multidimensional data,supports integrative and nuanced analysis,and enhances the interpretability of networked learning processes.As such,MNA holds considerable potential for advancing research on learner interactions.Promising directions for future inquiry include identifying influential nodes and edges,quantifying local-level network dynamics,and modeling interactions across multiple temporal dimensions.These applications contribute to a deeper understanding of individual learner roles,evolving group structures,and the overall development of online learning networks.关键词
在线教育/学习者交互/社会网络分析/多层网络分析/复杂网络Key words
Online education/Learner interaction/Social network analysis/Multilayer network analysis/Complex networks分类
社会科学引用本文复制引用
柴唤友,胡天慧,粟柱,郭方琪,刘智..突破单维局限:多层网络分析框架下的学习者交互解构[J].远程教育杂志,2025,43(2):85-93,9.基金项目
本文系国家自然科学基金项目"融合机器学习的协作问题解决能力归因推理方法研究"(项目编号:62407019)、教育部人文社科规划基金项目"在线学习者多层交互网络的微观模式识别及其演化规律研究"(项目编号:24YJC880049)和湖北省教育科学规划基金项目"基于多模态数据的自主学习投入智能测评与干预研究"(项目编号:2024GB136)的研究成果. （项目编号:62407019）
