Learner Activity Modeling Based on Teaching and Learning Activities Data


KIPS Transactions on Software and Data Engineering, Vol. 5, No. 9, pp. 411-418, Sep. 2016
10.3745/KTSDE.2016.5.9.411,   PDF Download:
Keywords: Data Mining, Learning Analytics, Learning Style, Data Model, Learner Model
Abstract

Learning analytic has been utilized to helps us to successfully complete the course by using the interaction of the teacher and the learner data generated from the teaching and learning support system. In other words, Learning analytic is a method in order to understand the activities of learners. In the learning analytic, the data model is needed in order to utilize the more useful for teaching and learning activities data. Therefore, in this study, we propose a user centric data model of learning styles and learning objects. This model is expressed by aggregating of user learning style, learning objects, and learning activities. The proposed model is significant that laid the foundation for analyzing the activities of the learners in course units.


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Cite this article
[IEEE Style]
K. Kim, "Learner Activity Modeling Based on Teaching and Learning Activities Data," KIPS Transactions on Software and Data Engineering, vol. 5, no. 9, pp. 411-418, 2016. DOI: 10.3745/KTSDE.2016.5.9.411.

[ACM Style]
Kyungrog Kim. 2016. Learner Activity Modeling Based on Teaching and Learning Activities Data. KIPS Transactions on Software and Data Engineering, 5, 9, (2016), 411-418. DOI: 10.3745/KTSDE.2016.5.9.411.