Supporting the distributed synchronous learning of probability: learning from an experiment

  • Authors:
  • Eileen Scanlon;Tim O'Shea;Randall B. Smith;Yibing Li

  • Affiliations:
  • Institute of Educational Technology, Open University, Milton Keynes, England, UK;Institute of Educational Technology, Open University, Milton Keynes, England, UK;Sun Microsystems Laboratories, Mountain View, California;Institute of Educational Technology, Open University, Milton Keynes, England, UK

  • Venue:
  • CSCL '97 Proceedings of the 2nd international conference on Computer support for collaborative learning
  • Year:
  • 1997

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Abstract

This paper reports on the some experiments to explore the distributed synchronous learning of probability. We have been studying synchronous computer supported collaboration between adults using Kansas, a very general and powerful environment. We have implemented a shared simulation of a "game show" and used this with groups of adults ranging in size from 2 to 5 participants, collaborating through an audio or video link. We describe our research approach and give preliminary results from our ongoing experiments on the general question how collaborative work changes or is enhanced by different numbers of simultaneous users of such technology, and how collaborative work mediated by technology can support learning difficult concepts. We give examples of the strong prior conceptions of probability held by our students and how these influenced their work on the simulation. We indicate future directions to be taken in this work.