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Intelligent Tutoring Systems for Ill-Defined Domains - Philippe ...

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69 Gauthier, Naismith, Lajoie, & Wiseman<br />

Medicine is an ill-defined domain [9] that has a long-standing tradition of teaching<br />

using tutorials that are based on real patient cases [10]. By ill-defined we mean that<br />

that medical problem solving does not involve a set of strict problem solving<br />

sequences <strong>for</strong> obtaining the correct answer. There are many routes to solving a<br />

problem and one medical problem may lead to a new set of medical issues that need<br />

to be resolved. Well-defined problem domains, on the other hand, often have clear<br />

procedures and outcomes. Case presentation is both a <strong>for</strong>mal and in<strong>for</strong>mal practice in<br />

medicine [11]. In practice, a case presentation generally consists of an instructor<br />

offering a verbal, detailed analysis of a patient case to his students. However, the<br />

explanation and solution <strong>for</strong> these cases may vary substantially depending on the<br />

instructor’s prior experience and teaching abilities. Indeed, medical instructors learn<br />

to teach mainly by doing it, and little guidance or content is provided to help them<br />

improve their teaching practice. Many issues related to case-based medical teaching<br />

need to be investigated: what exactly constitutes a case, how and what knowledge and<br />

strategies are taught using cases and how this knowledge is validated in the context of<br />

multiple possible answers. This research aims at improving medical case-based<br />

teaching practices by proposing an innovative methodology <strong>for</strong> building and teaching<br />

medical cases using visual representations.<br />

In this paper we review the definition of “case” to in<strong>for</strong>m our conceptual<br />

understanding of cases as instances of ill-defined problem solving. We suggest that<br />

the multilayered visual representation of the solution process reveals the series of<br />

decisions leading to and explaining the answer. We hypothesize that understanding<br />

the process is crucial in promoting a better understanding of the solution as well as the<br />

problem. We briefly review the way we construct visual representations of solution<br />

processes [12] be<strong>for</strong>e describing the pilot study conducted to explore the impact of<br />

these representations on medical students. More precisely we look at whether<br />

participants can understand the representation with minimal instruction and if this<br />

kind of feedback improves their ability to self-assess and reflect on their own<br />

per<strong>for</strong>mance.<br />

1.1 Definition and Use of Cases<br />

The first challenge in trying to design cases is to agree upon what constitutes a case.<br />

In trying to explore the concept of “case” we looked at different contexts in which it<br />

is used and how the term is defined. At a general level a case is described as “a set of<br />

circumstances or conditions” [13]. The list of synonyms accompanying the definition<br />

is more revealing of the assembly of concepts it contains, i.e.: instance, illustration,<br />

example, sample and specimen. This list of concepts provides a good overview of the<br />

diversity of meanings and concepts related to the use of this word. Considering the<br />

instructional context and technology mediated activities and tools <strong>for</strong> structuring and<br />

presenting cases, we have selected to look at education and case-based reasoning<br />

literatures to in<strong>for</strong>m the definition of cases.

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