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Spelling Bug: benefits of using adaptive technology for training spelling in primary school classrooms

Published:22 November 2010Publication History

ABSTRACT

We have developed, used and evaluated Spelling Bug, a computer program designed for teachers and students in primary school classrooms, in three schools in Brisbane over 1.5 years. We evaluated how learner-adaptive computer programs can be successfully integrated in primary classrooms in situ, using observations, interviews and computer-based data logs. The study found participating teachers felt time poor and they did not priorities learning to use new technologies. However, if they find add-on value they use the technology to complement traditional teaching. The response to using Spelling Bug was positive from both teachers and students. Students enjoyed a new task for working with spelling and they responded positively to the individual challenge the computer program set up for them. Teachers were pleased to find their students working independently and found time to support individual needs in the classroom. Retrieving information from a computer program gave support for teachers when making decisions on how to proceed with their teaching and presenting to parents.

References

  1. Aleven, V., and Koedinger, K.R. an Effective Meta-cognitive Strategy: Learning by Doing and Explaining with a Computer -- Based Cognitive Tutor. Cognitive Science. (2002), 26(2), 147--179.Google ScholarGoogle Scholar
  2. Aleven, V. McLaren, B.M., Sewall, J., and Koedinger, K.R. The Cognitive Tutoring Authoring Tools (CTAT): preliminary Evaluation of Efficiency Gains. Lecture Notes in Computer Science. Springer Verlag. Berlin/Heidelberg (2006). Vol 4053, 61--70. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Bodén, M. Usability grading of a learner-adaptive system. Göteborgs Univerisitet. (2004).Google ScholarGoogle Scholar
  4. Conati, C. Gertner, A. and VanLehn, K. Using Bayesian Networks to manage uncertainty in student modeling. User Modeling and User-Adapted Interaction, Netherlands. (2002), 12:371--417. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Koedinger, K.R., Andersson, J.R., Hadley, W.H., and Mark, M.A. Intelligent Tutoring goes to School in the Big City. Proceedings of the 7th World Conference on Artificial Intelligence in Education. Washington, DC. USA (1995).Google ScholarGoogle Scholar
  6. Millán, E., and Pèrez-de-la-Cruez, J.L. A Bayesian diagnostic algorithm for student modeling and its evaluation. User Modeling and User-Adaptated Interaction. Netherlands. (2002), 12:281--330. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Sklar, E. and Pollack, J. An Evolutionary approach to guiding students in an educational game. Proceedings of the sixth International Conference on Simulation of Adaptive Behaviour (SAB-2000).Google ScholarGoogle Scholar

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    • Published in

      cover image ACM Other conferences
      OZCHI '10: Proceedings of the 22nd Conference of the Computer-Human Interaction Special Interest Group of Australia on Computer-Human Interaction
      November 2010
      462 pages
      ISBN:9781450305020
      DOI:10.1145/1952222

      Copyright © 2010 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 22 November 2010

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