Assessment and learning outcomes: the evaluation of deep learning in an on-line course

SLACK, Frances, BEER, Martin, ARMITT, G. and GREEN, S. (2003). Assessment and learning outcomes: the evaluation of deep learning in an on-line course. Journal of information technology education.

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Official URL: http://jite.org/documents/Vol2/v2p305-317-29.pdf

Abstract

Using an online learning environment, students from European countries collaborated and communicated to carry out problem based learning in occupational therapy. The effectiveness of this approach was evaluated by means of the final assessments and published learning outcomes. In particular, transcripts from peer-to-peer sessions of synchronous communication were analysed. The SOLO taxonomy was used and the development of deep learning was studied week by week. This allowed the quality of the course to be appraised and showed, to a certain extent, the impact of this online international course on the learning strategies of the students. Results indicate that deep learning can be supported by synchronous communication and online meetings between course participants.

Item Type: Article
Uncontrolled Keywords: Quality Assurance issues, Impact on learning strategies, Synchronous communications, SOLO taxonomy, Deep learning, Occupational therapy
Research Institute, Centre or Group: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Depositing User: Ann Betterton
Date Deposited: 04 May 2007
Last Modified: 20 Aug 2015 02:10
URI: http://shura.shu.ac.uk/id/eprint/27

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