
Understanding the way in which students contribute to knowledge building and knowledge claim critiquing within a community of learners working in a computer supported learning environment
PROCEEDINGS
Patrick Fullick, University of Southampton, United Kingdom
EdMedia + Innovate Learning, in Lugano, Switzerland ISBN 978-1-880094-53-2 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
Abstract
Collaborating in the production of a scientific explanation for the behaviour of a prototype toy, a group of school students was encouraged to use a Web-based environment to share their ideas and to be critical of the knowledge claims made by others, in the spirit of a knowledge-building community. The logfiles produced by online interactions were subject to content analysis and were followed by group interviews with students to allow explication of contributions. Instruments based on work from the area of science studies were then used to categorise the data, revealing patterns in the epistemological stances within the community, and highlighting the ways in which the community went about examining knowledge claims. This work suggests that content analysis of logfiles alone is insufficient to produce a deep understanding of knowledge-building and critiquing in a CSLE, which bear comparison with the processes used by professional scientists.
Citation
Fullick, P. (2004). Understanding the way in which students contribute to knowledge building and knowledge claim critiquing within a community of learners working in a computer supported learning environment. In L. Cantoni & C. McLoughlin (Eds.), Proceedings of ED-MEDIA 2004--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 2592-2599). Lugano, Switzerland: Association for the Advancement of Computing in Education (AACE). Retrieved June 4, 2023 from https://www.learntechlib.org/primary/p/12390/.
© 2004 Association for the Advancement of Computing in Education (AACE)
Keywords
References
View References & Citations Map- Bereiter, C. , & Scardamalia, M. (1993). Surpassing ourselves: an inquiry into the nature and implications of expertise. Chicago: Open Court.
- Brown, A. L., Ash, D., Rutherford, M., Nakagawa, K., Gordon, A., & Campione, J. C. (1993). Distributed expertise in the classroom, in Distributed Cognitions, G. Salomon, ed. Cambridge: Cambridge University Press, 188-228.
- Chalmers, A. F. (1982). What is this thing called Science? An assessment of the nature and status of science and its methods, second e dition. Milton Keynes: Open University Press.
- Cole, M. & Engeström, Y. (1993). A cultural-historical approach to distributed cognition, in Distributed cognitions, G. Salomon, ed. Cambridge: Cambridge University Press, 1-46.
- Collins, H. M. & Pinch, T. J. (1994) The Golem: What Everyone should know about Science, Canto edition. Cambridge: Cambri dge University Press.
- Henri, F. (1995). Distance Learning and Computer-Mediated Communication: Interactive, Quasi-Interactive or Monologue? in Computer Supported Collaborative Learning, C. O'Malley, ed. Berlin: Springer- Verlag, 145-161.
- Kuutti, K. (1996). A Framework for HCI Research, in Context and Conciousness: Activity Theory and Human-Computer Interaction, B. A. Nardi, ed. Cambridge MA: MIT Press, 17-44.
- Lederman, N. G., Wade, P., & Bell, R. L. (1998). Assessing Understanding of the Nature of Science: a historical perspective, in The Nature of Science in Science Education, vol. 5, W. F. McComas, ed. Dordrecht: Kluwer, 331-350.
- Lewis, R. (1997). An Activity Theory to explore distributed communities. Journal of Computer Assisted Learning, 13, 210-218.
- McConnell, D. (2000). Implementing Computer Supported Cooperative Learning, second edition. London: Kogan Page.
- Merton, R. K. (1973). The Normative Structure of Science, in The Sociology of Science, N. W. Storer, ed. Chicago: University of Chicago Press.
- Nadeau, R. & Desautels, J. (1984) Epistemology and the teaching of science. Ottawa: National Science Council of Canada.
- Rourke, L., Anderson, T., Garrison, D. R., & Archer, W. (2001). Methodological Issues in the Content Analysis of Computer Conference Transcripts. Journal of Artificial Intelligence in Education, 12, 8-22.
- Shimamura, A. P. (1994). The Neuropsychology of Metacognition, in Metacognition: knowing about knowing, J. Metcalfe & A. P. Shimamura, eds. Cambridge MA: MIT Press, 253-276.
- Sutton, C. (1992). Words, Science and Learning. Buckingham: Open University Press.
- Yearley, S. (1994). Understanding science from the perspective of the sociology of scientific knowledge: an overview. Public Understanding of Science, 3, 245-258.
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