Study on MOOC scoring algorithm based on Chinese University MOOC learning behavior data

Heliyon

卷:4

Jianping Li¹  Guochang Zhou²  Yong Luo³  Xiao Xiao³ 

[1] Corresponding author.;

[2] Department of Information Technology, Hunan Police Academy, Changsha, Hunan, China;

[3] College of Science, National University of Defense Technology, 410073, China;

关键词: Education;    Applied mathematics;    Computational mathematics;   

DOI  :  

来源: DOAJ

【 摘 要 】

Existing online learning evaluation methods do not accurately reflect learning effects, which only considers test and assignment scores. A comprehensive evaluation algorithm is proposed in this paper based on the big data of learning behavior. The conversion ratio is taken into account, which is defined by information entropy theory. The algorithm comprehensively considers the learner's multiple learning behaviors, such as viewing videos, doing exercises, taking exams, participating in discussions. The new evaluation algorithm can help learners understand the learning state and maintain their interest.

【 授权许可】

Unknown