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Autor/in | Clancey, William J. |
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Institution | Stanford Univ., CA. Dept. of Computer Science. |
Titel | GUIDON. Technical Report #9. |
Quelle | (1983), (17 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Monographie |
Schlagwörter | Artificial Intelligence; Clinical Diagnosis; Communicable Diseases; Computer Assisted Instruction; Courseware; Databases; Higher Education; Learning Processes; Man Machine Systems; Medical Education; Methods Research; Problem Solving; Program Effectiveness; Teaching Methods Künstliche Intelligenz; Contagious disease; Contagious diseases; Communicable disease; Infektionskrankheit; Computer based training; Computerunterstützter Unterricht; Lernsoftware; Datenbank; Hochschulbildung; Hochschulsystem; Hochschulwesen; Learning process; Lernprozess; Mensch-Maschine-System; Medizinische Ausbildung; Methodenforschung; Problemlösen; Teaching method; Lehrmethode; Unterrichtsmethode |
Abstract | GUIDON is an intelligent computer-aided instruction (ICAI) program for teaching diagnosis, which has been tested using the infectious disease diagnosis rules of the MYCIN consultation system developed at the Stanford University School of Medicine. GUIDON engages a student in a dialogue about a patient suspected of having an infection and thus teaches the student about relevant clinical and laboratory data and diagnosis of the causative organism. Without reprogramming, the program can discuss any diagnostic problem that it can solve on its own. Moreover, by substituting problem solving knowledge from other domains, the program can immediately discuss problems in those domains. This power derives from the use of artificial intelligence methods for representing independently both subject material and general knowledge about how to teach. There are teaching rules and procedures for: determining what the student knows, responding to his/her partial solution, providing hints, and opportunistically interrupting to test his/her understanding. Experience with GUIDON reveals the importance of differentiating between causal and strategic knowledge in order to explain diagnostic rules and to teach a reasoning approach. These lessons are now guiding the development of new representations for teaching. A 13-item bibliography and a list of names and addresses of government and private sector research/information centers and personnel concerned with computer-aided instruction are provided. (Author/ESR) |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |