Effect of a limited-enforcement intelligent tutoring system in dermatopathology on student errors, goals and solution paths

Summary Objectives Determine effects of a limited-enforcement intelligent tutoring system in dermatopathology on student errors, goals and solution paths. Determine if limited enforcement in a medical tutoring system inhibits students from learning the optimal and most efficient solution path. Descr...

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Veröffentlicht in:	Artificial intelligence in medicine 2009-11, Vol.47 (3), p.175-197
Hauptverfasser:	Payne, Velma L, Medvedeva, Olga, Legowski, Elizabeth, Castine, Melissa, Tseytlin, Eugene, Jukic, Drazen, Crowley, Rebecca S
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Clinical Competence Cognition Computer-Assisted Instruction Curriculum Data Mining Dermatology Dermatology - education Diagnostic errors Diagnostic reasoning Education Education, Medical, Graduate - methods Educational technology Humans Intelligent tutoring systems Internal Medicine Internship and Residency Medical Medical Informatics Applications Other Pathology Pathology - education Problem Solving Problem-Based Learning Program Development Program Evaluation Students, Medical Task Performance and Analysis
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