自我调节学习中学习分析的应用框架和融合路径研究

被引:13
作者
徐晓青
赵蔚
刘红霞
姜强
机构
[1] 东北师范大学信息科学与技术学院
关键词
学习分析; 自我调节学习; 仪表盘; 系统性文献综述; 融合路径;
D O I
10.13811/j.cnki.eer.2021.06.014
中图分类号
G434 [计算机化教学];
学科分类号
040110 ;
摘要
为厘清学习分析在自我调节学习中的最新研究进展和发展方向,研究以应用框架和融合路径为切入点,系统地分析国外近十年间的18篇高质量实证研究论文。一方面,从学习分析如何应用的角度分析其在自我调节学习中的实证场景、利益相关者和应用技术,得到应用框架;另一方面,从自我调节学习模型出发归纳学习分析支持自我调节学习的切入点、方法、途径和目标,得到融合路径。研究发现,学习分析丰富了自我调节学习的应用场景,以可视化技术为主要工具,通过对学习行为和学习策略的关注,实现以学习分析反馈优化自我调节学习的目标。但纵观全局,当前学习分析的应用更多是为了从侧面衡量、展示自我调节学习,而未从内部支持自我调节学习,即两者的融合仍停留于表层,且对伦理层面关注不足。最后,本研究得到相关启示,以期对后续研究提供理论依据和发展方向。
引用
收藏
页码:96 / 104
页数:9
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