数据表征元认知:基于学习分析的网络自主学习行为研究

发布时间：2018-11-02 18:17

【摘要】：元认知属于高阶思维,是自主学习的重要元素,但在教与学实践中却难以进行实时的、持续的测量。本研究以学习分析技术为支撑,以前人研究为基础,以数据采集、数据分析、行为聚类、表征结果检验为脉络,采用实验研究法、问卷调查法、访谈法,分别对学习者网络自主学习行为与元认知能力进行分析与测量,以期建立自主学习行为与元认知间的关联关系,用学习行为数据表征元认知。研究选取Moodle平台的日志作为主要数据源,经相关分析、聚类分析、社会网络分析、回归分析、访谈内容分析,最终发现查阅作品、查看自身学习情况、参与交互等三类行为数据与学习者元认知水平显著相关,且表征元认知的准确度更高,为今后教与学实践中元认知的评估与干预提供参考。
[Abstract]:Metacognition is an important element of autonomous learning, but it is difficult to carry out real-time and continuous measurement in teaching and learning practice. This study is based on learning analysis technology, previous studies, data collection, data analysis, behavior clustering, characterization of the results of the context, using experimental research, questionnaire, interviews, In order to establish the relationship between autonomous learning behavior and metacognition, and to represent metacognition with learning behavior data, this paper analyzes and measures learners' self-regulated learning behavior and metacognitive ability. The research selects the log of Moodle platform as the main data source, through correlation analysis, cluster analysis, social network analysis, regression analysis, interview content analysis, finally find out the work, check their own learning situation, The three kinds of behavioral data such as participation in interaction are significantly related to learners' metacognition and the accuracy of metacognition is higher. It provides a reference for the evaluation and intervention of metacognition in teaching and learning practice in the future.
【作者单位】：东北师范大学计算机科学与信息技术学院;吉林大学学报编辑部;陕西理工大学教育科学学院;
【基金】：全国教育科学“十二五”规划教育部重点课题“可视化技术支持下学科知识自主学习模型研究”(课题编号:DCA130224) 全国教育信息技术研究课题“可视化视角下自我导向学习模型及策略研究”(课题编号:156242779)
【分类号】：G434

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