文献类型：期刊文献

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] School of Information Science Engineering, East China University of Science and Technology, Shanghai, China; [2] Shanghai Educational Technology Center, Shanghai, China; [3] Department of Education Studies, Hong Kong Baptist University, Hong Kong, Hong Kong

年份：2019

起止页码：737

外文期刊名：14th International Conference on Computer Science and Education, ICCSE 2019

收录：EI(收录号：20194207542868)

语种：英文

外文关键词：Curricula - Learning systems - Data transfer - Computer aided instruction - Students - E-learning

摘要：The items used for learning evaluation in online learning are 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. ? 2019 IEEE.