Evaluation of an Intelligent Tutoring System in Pathology: Effects of External Representation on Performance Gains, Metacognition, and Acceptance
Author(s) -
Rebecca S. Crowley,
Elizabeth Legowski,
Olga Medvedeva,
Eugene Tseytlin,
Eun Roh,
D.M. Jukic
Publication year - 2007
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1197/jamia.m2241
Subject(s) - metacognition , tutor , test (biology) , session (web analytics) , computer science , interface (matter) , representation (politics) , task (project management) , cognition , psychology , cognitive psychology , artificial intelligence , human–computer interaction , mathematics education , law , economics , paleontology , management , bubble , neuroscience , maximum bubble pressure method , parallel computing , world wide web , politics , political science , biology
Determine effects of computer-based tutoring on diagnostic performance gains, meta-cognition, and acceptance using two different problem representations. Describe impact of tutoring on spectrum of diagnostic skills required for task performance. Identify key features of student-tutor interaction contributing to learning gains.
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