The transfusion medicine tutor: Using expert systems technology to teach domain-specific problem-solving skills Conference Paper uri icon

abstract

  • Springer-Verlag Berlin Heidelberg 1996. This study provides data regarding the effectiveness of the expert systembased Transfusion Medicine Tutor (TMT) when used by medical technology students to learn an important problem-solving task, the identification of alloantibodies in a patients 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.

published proceedings

  • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

author list (cited authors)

  • Obradovich, J. H., Smith, P. J., Guerlain, S., Rudmann, S., Strohm, P., Smith, J., Sachs, L., & Denning, R.

citation count

  • 1

complete list of authors

  • Obradovich, Jodi Heintz||Smith, Philip J||Guerlain, Stephanie||Rudmann, Sally||Strohm, Patricia||Smith, Jack||Sachs, Larry||Denning, Rebecca

publication date

  • January 1996