【作 者】：
李士平，赵蔚，刘红霞
【关 键 词 】：
学习支持；精准教学；数据驱动；学习分析
【栏 目】：
课程与教学
【中文摘要】：
随着数据挖掘与学习分析技术的发展，如何实现数据价值为学生提供支持服务已成为研究热点。为了合理运用学习过程数据更加准确、客观地辅助学生学习，本研究从精准教学视角出发，构建数据驱动下的学习支持设计模型，描述了学习支持设计的两个主体、四个维度、四个环节，阐释了各维度学习支持的具体设计途径与数据驱动过程，并将其应用于实践，结合实验研究法、问卷调查法、访谈法，运用SSAS 等学习分析工具验证数据驱动下的学习支
持有效性。结果表明，数据驱动下的学习支持能够影响学生学习决策，进而提升学生元认知水平、学习成绩与流畅度，在学习效果与学习能力方面均具有显著促进作用。
【英文摘要】：
With the development of data mining and learning analytics technology, how to realize data
value and provide supports for students has become research focus. In order to reasonably use the data of
learning process to assist students, this paper constructs a data-driven learning support design model from
the perspective of precision teaching. This model describes two main body, four dimensions and four links
of learning support design, illustrates the specific design approach and data-driven process of learningsupport in each dimension. Combined with experimental research, questionnaire survey and interview, this
paper verifies the validity of data-driven learning support through learning analysis tools such as SSAS.
The results show that data-driven learning support can affect students' decision-making, and improve their
metacognition, academic achievements and fluency, which has a significant effect on students' learning
effects and learning abilities.