摘要
对学生学习行为的研究能够有效了解学生的学习和生活行为特点,从而在教学中更好地实现因材施教。本文基于校园大数据的学生行为分析,提出了学习行为标准的研究框架,重点在行为指标分析和行为特征量化两方面进行了研究,探讨了学习行为数据的标准化建设问题,为更好地利用行为数据进行学习成绩预测和学生发展预测提供了一种思路。
The study of students’ learning behavior can effectively understand the characteristics of students’ learning and life behavior, so as to achieve better individualized teaching in teaching. Based on student behavioral analysis based on campus big data, this paper puts forward the research framework of learning behavior standard, studies the two aspects of behavior index analysis and behavior characteristics of quantifi cation, and probes into the standardization construction of the data of learning behavior, which provides a train of thought for better use of behavior data to predict students’ grades and development.
作者
郎波
樊一娜
LANG Bo;FAN Yi-na(Zhuhai City Polytechnic;Zhuhai Campus of Beijing Normal University)
出处
《中国标准化》
2023年第4期163-165,共3页
China Standardization
基金
珠海市教育科研“十四五”规划课题(项目编号:2021ZHGHKTG1183)
珠海城市职业技术学院质量工程项目(项目编号:KCSZ20200605)资助。
关键词
学习行为
行为指标分析
行为特征量化
标准化
learning behavior
behavioral index analysis
quantifi cation of behavior characteristics
standardization