A Visual Analytics Approach for e-Learning Education

Abstract

With the educational informatization, E-learning through course management systems is used widely. E-learning system stores a lot of data in learning progress, educators can analyze these data to seek salient features. But the data are too big to educators to master all the information. This paper provides a overview-detail-context visual analytics system to solve this problem. First, users can overview all the data about course with a density display. Second, a bubble set map is provided to observe details about a student. Last, a context viewer like musical notation is built to help educators making some judgements for a student or for an exercise. After being used by educational experts, this visual analytics system can help educators to discovery many key problems in course. Addressing these problems could improve educational efficiency greatly.

DOI: 10.1109/IMIS.2015.10

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Cite this paper

@article{Li2015AVA, title={A Visual Analytics Approach for e-Learning Education}, author={Xin Li and Xuehui Zhang and Xin Liu}, journal={2015 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing}, year={2015}, pages={34-40} }