Intelligent Tutoring Systems for Ill-Defined Domains - Philippe ...
Intelligent Tutoring Systems for Ill-Defined Domains - Philippe ...
Intelligent Tutoring Systems for Ill-Defined Domains - Philippe ...
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73 Gauthier, Naismith, Lajoie, & Wiseman<br />
knowledge and reasoning strategies by promoting metacognition. We thus<br />
hypothesized that the experimental group would outper<strong>for</strong>m the control group on<br />
various measures including accuracy of the final diagnosis, average time spent per<br />
case, self-reported confidence levels and evidence of self-reflection.<br />
3.1 Participants<br />
Eighteen second-year medical students from a North American University<br />
participated in this pilot study. Participation was required as part of a teaching<br />
module on clinical reasoning, but the students were given the opportunity at the<br />
beginning of the study to opt-out of data collection <strong>for</strong> research purposes. Data was<br />
recorded anonymously.<br />
3.2 Materials<br />
Cases. Four BioWorld [36] cases were used in this study. In each case, the symptoms<br />
presented by the patients were similar and nonspecific, including weight loss, fatigue<br />
and anxiety. The expert diagnosis <strong>for</strong> the tutorial case was the digestive disorder of<br />
celiac disease, which was expected to be familiar to the majority of the students. The<br />
three test cases were the same cases that were used in [12] with expert medical<br />
instructors. The expert diagnosis <strong>for</strong> the first test case was pheochromocytoma, an<br />
extremely rare endocrine disorder that was not expected to be familiar to majority of<br />
the students. The expert diagnoses <strong>for</strong> the other two test cases were more common<br />
endocrine disorders: type 1 diabetes and hyperthyroidism, both of which the students<br />
would have already encountered in their studies. After the students submitted their<br />
final diagnoses, they were able to view and compare their per<strong>for</strong>mance to a text-based<br />
expert summary. The experimental condition was also given an expert decision map<br />
[12] as an additional feedback mechanism. The maps contained a visual<br />
representation of the overall problem solving process, as well as links to the verbatim<br />
transcript of the expert’s think-aloud protocol. Figure 1 illustrates a portion of a<br />
sample expert decision map.