The quality and impact of computer supported collaborative learning (CSCL) in radiology case-based learning

Eur J Radiol. 2011 Jun;78(3):353-62. doi: 10.1016/j.ejrad.2010.08.041. Epub 2010 Sep 22.

Abstract

Objective: The aim of this research was to explore (1) clinical years students' perceptions about radiology case-based learning within a computer supported collaborative learning (CSCL) setting, (2) an analysis of the collaborative learning process, and (3) the learning impact of collaborative work on the radiology cases.

Methods: The first part of this study focuses on a more detailed analysis of a survey study about CSCL based case-based learning, set up in the context of a broader radiology curriculum innovation. The second part centers on a qualitative and quantitative analysis of 52 online collaborative learning discussions from 5th year and nearly graduating medical students. The collaborative work was based on 26 radiology cases regarding musculoskeletal radiology.

Results: The analysis of perceptions about collaborative learning on radiology cases reflects a rather neutral attitude that also does not differ significantly in students of different grade levels. Less advanced students are more positive about CSCL as compared to last year students. Outcome evaluation shows a significantly higher level of accuracy in identification of radiology key structures and in radiology diagnosis as well as in linking the radiological signs with available clinical information in nearly graduated students. No significant differences between different grade levels were found in accuracy of using medical terminology.

Conclusion: Students appreciate computer supported collaborative learning settings when tackling radiology case-based learning. Scripted computer supported collaborative learning groups proved to be useful for both 5th and 7th year students in view of developing components of their radiology diagnostic approaches.

MeSH terms

  • Belgium
  • Case-Control Studies
  • Computer-Assisted Instruction / statistics & numerical data*
  • Curriculum / statistics & numerical data*
  • Diagnostic Imaging
  • Educational Measurement / statistics & numerical data*
  • Radiology / education*
  • Radiology / statistics & numerical data*
  • Students, Medical / statistics & numerical data*
  • Teaching / statistics & numerical data*