Linda Stern
ABSTRACT
A great deal of effort is expended creating multimedia systems to help students learn. Some amount of effort is spent evaluating learning outcomes for students who have used these systems. Yet very little effort is spent examining how students actually use the software or how learning outcomes are related to system design. In a study involving direct observation of university students as they used pedagogical software, it was found that students develop their own strategies for learning with software and that these strategies are not necessarily those predicted by software designers and educators. Systematic field observation led to a more comprehensive view of how students were interacting with the software.
- J. Carroll and S. Howard and J. Peck and J. Murphy, From adoption to use: the process of appropriating a mobile phone, Australian Journal of Information Systems, 10, 38--38, 2003Google Scholar
Cross Ref
- S. Markham and J. Ceddia and J. Sheard and C. Burvill and J. Weir and B. Field and L. Sterling and L. Stern, Applying Agent Technology to Evaluation Tasks in E-Learning Environments, Proceedings of the Exploring Educational Technologies Conference, Monash University, 31--3, 2003Google Scholar
- J. Wilson and R. Aiken and I. Katz, Review of Animation Systems for Algorithm Understanding, SIGSCE Bulletin, 28, 75-77, 1996 Google ScholarDigital Library
- Robert Kozma, Reflections on the state of educational technology research and development, Educational Technology, Research and Development, 48, 1--15, 2000Google Scholar
- Amy L. Baylor, Expanding preservice teachers' metacognitive awareness of instructional planning through pedagogical agents, Educational Technology, Research and Development, 50, 5--22, 2002Google Scholar
- T. Judd and G. Kennedy, Making Sense of Audit Trail Data, Australian Journal of Educational Technology, 20, 18--32, 2004Google Scholar
- L. Stern and L. Naish, Animating Recursive Algorithms, Interactive Multimedia Electronic Journal of Computer-Enhanced Learning, 4, 2002Google Scholar
- M. Virvou and V. Tsiriga, An object-oriented software life cycle of an intelligent tutoring system, Journal of Computer Assisted learning, 17, 200--205, 2001Google Scholar
- B. Yushau and M.A. Bokhari and D.C.J. Wessels, Computer Aided Learning of Mathematics: Software Evaluation, Mathematics and Computer Education, 38, 165--182, 2004Google Scholar
- Nikow. Mattheos and Anders Nattestad and Cecilia Christersson and Henrik Jansson and Rolf Attstrom, The effects of an interactive software application on the self-assessment ability of dental students, European Journal of Dental Education, 8, 97--104, 2004Google Scholar
- L. Stern and L. Naish and H. Søndergard, A Strategy for Managing Content Complexity in Algorithm Animation, ITiCSE99: Proceedings of the Fourth Annual SIGCSE/SIGCUE Conference on Innovation and Technology in Computer Science Education, 1999, 127--130 Google ScholarDigital Library
- L. Stern and L. Naish, Visual Representation for Recursive Algorithms, Proceedings of the 33rd Annual SIGCSE Technical Symposium on Computer Science Education, 2002, 196--200 Google ScholarDigital Library
- B. Shneiderman, Designing the User Interface: Strategies for Effective Human-Computer Interaction, Addison Wesley Longman, Reading, Mass, 1998 Google ScholarDigital Library
- John D. Brewer, Ethnography, Open University Press, Buckingham, 2000Google Scholar
- D. H. Jonassen and S. M. Land (eds), Theoretical Foundations of Learning Environments, New Jersey, Lawrence Erlbaum Associates, 2000,Google Scholar
- J. Harvey, The Evaluation Cookbook: The Learning Technology Dissemination Initiative, Heriot-Watt University, 1998,Google Scholar
- T. C. Reeves and J.G. Hedberg, Interactive Learning Systems Evaluation, Educational Technology Publications, Englewood Cliffs, New Jersey, 2003Google Scholar
- C.M. Judd, Combining Process and Outcome Evaluations, Multiple Methods in Program Evaluation, M.M. Mark and R.L.Shotland, Jossey-Bass (San Francisco), 23--41, 1987,Google Scholar
Index Terms
- You can lead a horse to water: how students really use pedagogical software
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