A classification framework of online learning activities: based on grounded theory

Zehui Zhan

doi:10.1117/12.920233

13 January 2012 A classification framework of online learning activities: based on grounded theory

Zehui Zhan

Proceedings Volume 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies; 83502K (2012) https://doi.org/10.1117/12.920233
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

Abstract

The purpose of this paper is to set up a classification framework of online learning activities. Fifty-nine online learning activity cases were collected from seven disciplines. Open coding, axial coding, and selective coding were conducted according to Grounded Theory. After step-by-step validation, the classification framework consists of six core categories (Argumentation, Resource Sharing, Collaboration, Inquiry, Evaluation, and Social Network) has been set up. Further study is needed to get more insight into each category and establish effective activity-based instruction models.

Citation Download Citation

Zehui Zhan "A classification framework of online learning activities: based on grounded theory", Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 83502K (13 January 2012); https://doi.org/10.1117/12.920233

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