基于聚类算法的MOOCs学习者分类及学习行为模式研究

doi:10.12052/gdutxb.180027

Journal of Guangdong University of Technology ›› 2018, Vol. 35 ›› Issue (03): 18-23.doi: 10.12052/gdutxb.180027

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A Research on the Classification of Learners and Patterns of Learning Behavior Based on Cluster Algorithms under MOOCs’ Environment

Ma Fei, Li Juan

School of Computer Science and Engineering, North Minzu University, Yinchuan 750021, China

Received:2018-03-05 Online:2018-05-09 Published:2018-04-26

Abstract

Abstract: The learners who participate in the MOOC are classified by using of AHC and K-means, based on learners' learning behavior on MOOCs platform. Then, the impact of different learning behaviors on the MOOC's learning outcomes are studied and analyzed, and the course completion rate and course grade of different types of learners are compared and analyzed in detail by Chi-square test and one-way ANOVA. Finally, suggestions about how to improve the MOOCs learning effect and the design of the structure and content of MOOCs curricula are given. It also provides the reference for the further development of MOOCs education in colleges and universities.

Key words: MOOCs (Massive Open Online Courses), cluster algorithms, learning behavior, learning effect, statistical analysis

CLC Number:

G434

Ma Fei, Li Juan. A Research on the Classification of Learners and Patterns of Learning Behavior Based on Cluster Algorithms under MOOCs’ Environment[J].Journal of Guangdong University of Technology, 2018, 35(03): 18-23.

References

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