Looking for evidence of deep learning in constructively aligned online discussions

Authors

  • Norrie Brown Napier University
  • Keith Smyth Napier University
  • Christina Mainka Napier University

DOI:

https://doi.org/10.54337/nlc.v5.9427

Keywords:

Constructive alignment, Online discussion, Deep learning, Content analysis

Abstract

Building upon previous work by the authors, this paper describes a small-scale study that involved analysing the depth of thinking evident within asynchronous discussion contributions. The discussion tasks in question, which were undertaken within the context of a fully online distance course, were designed according to the principles of constructive alignment, and analysed using the SOLO taxonomy. Of particular interest within this study was whether the SOLO taxonomy would provide evidence of surface-to-deep or deep-to-deeper learning having occurred on an individual basis over time, and also how suitable the SOLO taxonomy was as a tool for the content analysis of online discussions. Findings on both counts were encouraging, but not unproblematic.

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Published

10-04-2006

How to Cite

Brown, N., Smyth, K., & Mainka, C. (2006). Looking for evidence of deep learning in constructively aligned online discussions. Proceedings of the International Conference on Networked Learning , 5. https://doi.org/10.54337/nlc.v5.9427