文献类型：会议论文

英文题名：A Multivariate Learning Evaluation Model for Programming Course in Online Learning Environment

作者：Hu, Qingchun[1];Huang, Yong[2];Deng, Liping[3]

机构：[1]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai, Peoples R China;[2]Shanghai Educ Technol Ctr, Shanghai, Peoples R China;[3]Hong Kong Baptist Univ, Dept Educ Studies, Hong Kong, Peoples R China

会议论文集：14th International Conference on Computer Science and Education (ICCSE)

会议日期：AUG 19-21, 2019

会议地点：Ontario Tech Univ, Toronto, CANADA

主办单位：Ontario Tech Univ

语种：英文

外文关键词：online learning; learning behavior; learning evaluation

摘要：The items used for learning evaluation in online learning arc not only scores, but also students' learning behavior, including engagement in learning contents, activities in online forum. This paper proposes a multivariate learning evaluation model to assess students learning in online learning environment for programming course. The learning behavior is accessed by data flow. The data flow is divided into four categories, which includes learning guidance, understanding innovation, interactive sharing and learning support. The correlation analysis of various structures and unstructured data flow generated in learning activities will be embodied in the multiple learning evaluation model as parameters. And the results are visualized to learners. The findings show that multivariate learning evaluation is helpful to improve students' achievement and reflection towards their learning.