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Proceedings Paper

A classification framework of online learning activities: based on grounded theory
Author(s): Zehui Zhan
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Paper 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.

Paper Details

Date Published: 13 January 2012
PDF: 6 pages
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); doi: 10.1117/12.920233
Show Author Affiliations
Zehui Zhan, South China Normal Univ. (China)


Published in SPIE Proceedings Vol. 8350:
Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies

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