Research Output
Looking for evidence of deep learning in constructively aligned online discussions.
  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

  • Publication Status:

    Published

  • Publisher

    Lancaster University

  • Library of Congress:

    LB2300 Higher Education

  • Dewey Decimal Classification:

    378 Higher education

Citation

Brown, N., Smyth, K. & Mainka, C. (2006). Looking for evidence of deep learning in constructively aligned online discussions. In Banks, S., Hodgson, V., Jones, C., Kemp, B., McConnell, D. & Smith, C. (Eds.). Proceedings of the fifth International Conference on Networked Learning 2006ISBN 1-86220-182-X

Authors

Editors

Keywords

Constructive alignment; online discussion; deep learning; content analysis;

Monthly Views:

Available Documents