Successful Use of an Expert System to Teach Diagnostic Reasoning for Antibody Identification
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A previously reported study indicated that, when used by an instructor as a tool to assist with tutoring in a class laboratory setting, use of the Transfusion Medicine Tutor (TMT) resulted in improvements in antibody identification performance of 87–93% (p<.001). Based on input from teachers requesting that TMT be designed for use without the presence of an instructor, a new study on the use of TMT without instructor assistance found that performance improved by 64–66% (p<.001). Finally, based on the results of these two studies, TMT was mailed to 7 sites for beta-testing. In exchange for a free copy of the kit, the instructors (and their students) were asked to fill out questionnaires. Results of these questionnaires are summarized.
KeywordsExpert System Intelligent Tutoring System Diagnostic Reasoning Instructor Assistance Expert System Technology
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- 3.Anderson, J.R. (1984). Cognitive psychology and intelligent tutoring. Proceedings of the Cognitive Science Society Conference. Boulder, Colorado, Lawrence Erlbaum Associates, Inc., 37–43.4.Google Scholar
- 4.Brown, J.S. & Burton, R.R. (1978). Reactive learning environments for teaching electronic troubleshooting. In Rouse, W.B. (Ed.), Advances in man-machine systems research. Greenwich, Connecticut: JAI PressGoogle Scholar
- 5.Burton, R.R. (1982). Diagnosing bugs in a simple procedural skill. In D. Sleeman and J.S. Brown (Eds.), Intelligent tutoring systems. London: Academic Press, Inc., 157–184.Google Scholar
- 6.Collins, A., Brown, J.S., & Newman, S.E. (1989). Cognitive apprenticeship: Teaching the crafts of reading, writing and mathematics. In L. B. Resnick (Ed.), Knowing, learning, and instruction. Hillsdale, N.J.: Lawrence ErlbaumGoogle Scholar
- 7.Corbett, A.T. & Anderson, J.R. (1992). LISP intelligent tutoring system: Research in skill acquisition. In J.H. Larkin, R.W. Chabay, & C. Sheftic (Eds.), Computer-assisted instruction and intelligent tutoring systems: Shared goals and complementary approaches. Hillsdale, N.J.: Lawrence Erlbaum Associates, Inc., 73–109.Google Scholar
- 8.Dempsey, J.V. and Sales, G.C. (Eds.) (1993). Interactive instruction and feedback. Englewood Cliffs, NJ: Educational Technology Publications.Google Scholar
- 9.Gabrys, G., Weiner, A., & Lesgold, A. (1993). Learning by problem solving in a coached apprenticeship system In M. Rabinowitz (Ed.), Cognitive science foundations of instruction. Hillsdale, NJ: Lawrence Erlbaum AssociatesGoogle Scholar
- 10.Lajoie, S.P., & Lesgold, A.M. (1989). Apprenticeship training in the workplace: Computer-coached practice environment as a new form of apprenticeship. Machine-Mediated Learning, 3, 7–28.Google Scholar
- 11.VanLehn, K. (1996). Conceptual and Meta Learning during coached problem solving. In Frasson, Gauthier and Lesgold (eds.), Proceedings of the Third International Conference on Intelligent Tutoring Systems, 29–47.Google Scholar
- 12.Obradovich, J., Smith, P.J. (1996). The Transfusion Medicine Tutor: Using expert systems technology to teach domain-specific problem-solving skills. In Frasson, Gauthier and Lesgold (eds.), Proceedings of the Third International Conference on Intelligent Tutoring Systems, 521–530.Google Scholar