Author(s)

Muyang Wu ¹

Affiliation(s)

¹ Jingchu University of Technology, Jingmen, Hubei, 448000, China

Corresponding Author

Muyang Wu

ABSTRACT

In recent years, the continuous improvement of the MOOC curriculum system and the continuous improvement of the teaching platform technology have made MOOC accepted by more and more universities and students. At the same time, because of the foundation of its curriculum, there is no threshold, so the number of social learners is also increasing. In this case, the ecological construction of the distance education learning behavior analysis model based on MOOC will become very important. In this paper, the explicit information and implicit information of each user are analyzed and statistically analyzed by principal component analysis. Then, the analysis results are fed back to learners, supervisors, educators, backstage personnel, etc. in different forms through the learning behavior analysis model. Learners can learn to reflect through feedback data. The supervisor can have a clear understanding of the learner's recent learning status and help him make adjustments. The teacher can carry out teaching reflection and continuously improve his teaching skills. Backstage personnel can make technical adjustments to make the teaching platform more humane.

KEYWORDS

MOOC Data, Behavior Analysis, Ecological Construction of Distance

CITE THIS PAPER

Muyang Wu , Ecological Construction of Distance Education Learning Behavior Analysis Model Based on MOOC Data. Curriculum and Teaching Methodology (2023) Vol. 6: 71-77. DOI: http://dx.doi.org/10.23977/curtm.2023.061413.

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