【作 者】：
毛 刚
【关 键 词 】：
学习分析； 学习评价； 运行机制； 内在逻辑
【栏 目】：
课程与教学
【中文摘要】：
以大数据为基础的学习分析在挖掘学习行为规律、预测学习发展等方面具有显著优势，是当前教育研究的热点。但是，当前研究更多地集中于增进洞见的基础阶段，在学习分析促进学习的作用机制和内在逻辑方面缺乏深入思考。理论研究发现，学习分析可以与“评价促进学习”理论实现较好的适配，形成以学习分析为中心，多维评价支持的循环发展机制模型。以大学生数字文献阅读活动为情境的研究证实，激发学习反思，引导行为调节的方向是学习分析促进学习的内在逻辑。自然行为数据的深度分析、反思线索的及时反馈、个体行为的持续调节是这一逻辑形成的条件。
【英文摘要】：
Based on big data, the learning analysis has a significant advantage in mining the rule of learning behavior and predicting learning development, which is a currently hot spot of educational research. However, the current research focuses more on the basic stage of enhancing insight, and lacks deep thinking in learning analysis to promote the mechanism of learning and inner logic. Theoretical studies have found that learning analysis can be well adapted to the theory of "evaluation promoting learning", forming a cyclic developmental mechanism model supported by multi-dimensional evaluation with learning analysis as the center. Based on the research of the reading activity of college students' digital literature, it is proved that to stimulate learning refection and guide behavior adjustment is the inner logic of learning analysis to promote learning. Deep data analysis of natural behavior, timely feedback on reflection cues, and continuous adjustment of individual behavior are the conditions of this logic.