Abstract
This study provides data regarding the effectiveness of the expert system-based Transfusion Medicine Tutor (TMT) when used by medical technology students to learn an important problem-solving task, the identification of alloantibodies in a patient's blood for the purpose of finding compatible blood for transfusion. The results show that the students who were taught by an instructor using TMT to provide the instructional environment went from 0% correct on a pre-test case to 87%–93% correct on post-tests (N=15). This compares with an improvement rate of 20% by a control group (N=15) who used a passive version of the system with the tutoring functions turned off. The results also demonstrate the importance of relying on objective performance data rather than questionnaire data to evaluate systems, as there was no difference in the subjective responses of the students to these two different versions of the system.
This research is supported by a grant from the National Heart, Lung, and Blood Institute
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© 1996 Springer-Verlag Berlin Heidelberg
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Obradovich, J.H. et al. (1996). The transfusion medicine tutor: Using expert systems technology to teach domain-specific problem-solving skills. In: Frasson, C., Gauthier, G., Lesgold, A. (eds) Intelligent Tutoring Systems. ITS 1996. Lecture Notes in Computer Science, vol 1086. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61327-7_151
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DOI: https://doi.org/10.1007/3-540-61327-7_151
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