Mining Mathematics Learning Strategies of High and Low Performing Students using Log Data
Mining Mathematics Learning Strategies of High and Low Performing Students using Log Data
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使用日志数据挖掘高年级和低年级学生的数学学习策略
DOI：
10.1109/icalt52272.2021.00074
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Ogata H
中科院分区：
文献类型：
--
作者：
Li J.;Majumdar R.;Ogata H
学习中的自我调节涉及规划和利用不同的共享资源。本研究旨在探讨不同学生群体在使用数位媒体课程资料时的学习策略，其中一组为学习成绩优异的学生，另一组为学习成绩较差的学生。本研究以某国中数学课程116位学生为研究对象，进行资料分析。使用差异模式挖掘技术，我们突出了基础课程内容的访问模式，从学习日志收集的电子书系统，BookRoll。
Self-regulation in learning involves planning and utilizing different shared resources. This study investigates learning strategies of different student groups when they are accessing course materials in digital medium – one group is the students with high academic performance, the other is the students with low academic performance. We analyze data of 116 students from a mathematics course in a junior high school. Using the differential pattern mining technique, we highlight underlying course content accessing patterns from the learning log collected by an e-book system, BookRoll.