體驗區
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| 篇名 |
以学习分析技术理解学习失败－基于在线课程退课行为的视角
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| 並列篇名 |
Understanding Learning Failure with Learning Analytics: A Perspective of Online Course Dropout Behavior
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| 作者 |
刘桐(LIU Tong)
、顾小清(GU Xiaoqing)
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| 中文摘要 |
理解学习失败是教育研究的热点。然而，已有研究主要依赖自我报告、社会调查等方法，存在主观性较强等问题，不适合在线学习情境。为解决这一问题，本研究利用细粒度学习行为数据，通过引入“学习路径相似度”概念，以时域建模的方式，找出不同类型退课学习者群体，结合未退课学习者数据，依据学习路径的图拓扑参数和行为发生概率，在学习意义层面描述并解释不同类型学习者之间的差异，从而理解学习失败发生的过程，为探明“学习何以发生”提供新的依据。研究发现：1）退课学习者存在“体验型”与“孤立型”两类学习者；2）图拓扑参数计算结果表明，不同类型学习者在学习投入、学习资源切换频率、学习路径聚集度、小世界网络特性和学习资源重要性等方面存在明显差异；3）行为发生概率结果表明，不同类型学习者存在类似的视频交互行为，“体验型”学习者存在课程甄选行为，“孤立型”学习者缺少社交性交互行为。文章最后从分析方法、辩证理解退课、创新课程形式和社会性学习支持等方面提出对策和建议。
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| 英文摘要 |
Understanding learning failure is a research hotspot in education. However, the current research relies more on self-report and social survey research methods, which have problems such as strong subjectivity and are challenging to apply to online learning situations. To solve the problem, this study uses fine-grained learning behavior data, introduces the concept of "learning path similarity", and uses time-domain modeling to find out different types of dropout learners; Moreover, combining the learning data from whom did not dropout, according to the graph topology parameters of the learning path and the probability of behavior occurrence, describe and explain the differences between different types of learners at the level of learning meaning, so as to understand the occurrence process of learning failure, and provide new insights into "why learning occurs". The study found that: 1) Among the learners who dropped out of the course, there were two types of learners: "experiential type" and "isolated type"; 2) The calculation results of graph topology parameters showed that different types of learners had significant differences in learning engagement, learning resource switching frequency,aggregation degree of learning paths, the characteristics of small-world networks and the importance of learning resources; 3) The results of behavior occurrence probability show that different types of learners have common video interaction behaviors, and "experiential" learners have course selection behaviors. "isolated" learners lack patterns such as social interaction behaviors. Finally, the article puts forward countermeasures and suggestions from the aspects of analysis methods, dialectical understanding of dropout, innovative curriculum forms, and social learning support.
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| 頁次 |
093-101
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| 關鍵詞 |
学习分析
、学习失败
、退课行为
、学习路径
、学习者聚类
、learning analysis
、learning failure
、dropout behavior
、learning path
、learner clustering
、CSSCI
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| 卷期 |
28:3
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| 日期 |
202206
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| 刊名 |
開放教育研究
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| 出版單位 |
上海遠程教育集團、上海電視大學
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| DOI |
10.13966/j.cnki.kfjyyj.2022.03.010
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