Literature DB >> 3330560

AI/LEARN: an interactive videodisk system for teaching medical concepts and reasoning.

J A Mitchell1, A S Lee, T TenBrink, J H Cutts, D P Clark, S Hazelwood, R Jackson, J Bickel, W Gaunt, R P Ladenson.   

Abstract

This paper describes AI/LEARN, an educational videodisk system designed to teach clinical observational skills and reasoning in medicine. The AI/LEARN system uses a learning conditions approach to teaching. To teach visual concepts, we use the principle of exemplar/nonexemplar pairs and immediate feedback. To teach If-Then problem solving we use the format of minicases with delayed feedback. The software to operate the system has been custom developed and is domain independent. The result is a prototype of a new authoring package for videodisk teaching which operates on IBM compatible microcomputers. The medical domain selected for this prototype system was rheumatic diseases; the knowledge used to teach reasoning skills is derived from the knowledge base of an expert system: AI/RHEUM.

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Year:  1987        PMID: 3330560     DOI: 10.1007/bf00993009

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  3 in total

1.  Anatomy of a knowledge-based consultant system: AI/RHEUM.

Authors:  L C Kingsland; D A Lindberg; G C Sharp
Journal:  MD Comput       Date:  1986 Sep-Oct

2.  AI/LEARN network. The use of computer-generated graphics to augment the educational utility of a knowledge-based diagnostic system (AI/RHEUM).

Authors:  A S Lee; J H Cutts; G C Sharp; J A Mitchell
Journal:  J Med Syst       Date:  1987-10       Impact factor: 4.460

3.  The use of natural language entry and laser videodisk technology in CAI.

Authors:  A M Abdulla; L O Watkins; J S Henke
Journal:  J Med Educ       Date:  1984-09
  3 in total
  4 in total

1.  Preliminary evaluation of learning via the AI/LEARN/Rheumatology interactive videodisc system.

Authors:  J A Mitchell; A J Bridges; J C Reid; J H Cutts; S Hazelwood; G C Sharp
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1992

Review 2.  Uniqueness of Group Decision Support Systems (GDSS) in medical and health applications.

Authors:  M Hatcher
Journal:  J Med Syst       Date:  1990-12       Impact factor: 4.460

3.  AI/LEARN network. The use of computer-generated graphics to augment the educational utility of a knowledge-based diagnostic system (AI/RHEUM).

Authors:  A S Lee; J H Cutts; G C Sharp; J A Mitchell
Journal:  J Med Syst       Date:  1987-10       Impact factor: 4.460

Review 4.  Voting and priorities in health care decision making, portrayed through a group decision support system, using analytic hierarchy process.

Authors:  M Hatcher
Journal:  J Med Syst       Date:  1994-10       Impact factor: 4.460

  4 in total

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