期刊名称：Australasian Journal of Educational Technology
印刷版ISSN：1449-3098
电子版ISSN：1449-5554
出版年度：2016
卷号：32
期号：5
DOI：10.14742/ajet.2759
语种：English
出版社：Australasian Society for Computers in Learning in Tertiary Education
摘要：Clinical reasoning is a central skill in diagnosing cases. However, diagnosing a clinical case poses several challenges that are inherent to solving multifaceted ill-structured problems. In particular, when solving such problems, the complexity stems from the existence of multiple paths to arriving at the correct solution (Anonymous, 2003). Moreover, the approach one employs in diagnosing a clinical case is in some measure dependent upon the complexity of the case. This leads us to the question: Are there differences in the manner in which novices solve cases with varying levels of complexity in a computer based learning environment? More specifically, we are interested in understanding and elucidating if there are clinical reasoning differences in regards to accuracy, efficiency, and process across three virtual patient cases of varying difficulty levels. Examining such differences may have implications from both a learner modeling and system enhancement perspective. We close by discussing the implications for practice, limitations of the study, and future research directions.
