introduction: programs must demonstrate that their residents are taught and assessed in professionalism. most programs struggle with finding viable ways to teach and assess this critical competency. uthscsa family and community medicine residency developed an innovative option for interactive learning and assessment of residents in this competency which would be transferrable to other programs ...

Computer based learning gets more and more important in higher education. Particularly, in Legal domain, students have little chance to deal with realistic situations. One way to alleviate this problem is to provide Law students with real cases, rules, and viewpoints of which a given body of knowledge is often recognized as important to their successful learning. In this paper is proposed a nov...

Retrieval of a set of cases similar to a new case is a problem common to a number of machine learning approaches such as nearest neighbor algorithms, conceptual clustering, and case based reasoning. A limitation of most case retrieval algorithms is their lack of attention to information acquisition costs. When information acquisition costs are considered, cost reduction is hampered by the pract...

This paper presents average-case analyses of instance-based learning algorithms. The algorithms analyzed employ a variant of k-nearest neighbor classi-er (k-NN). Our analysis deals with a monotone m-of-n target concept with irrelevant attributes, and handles three types of noise: relevant attribute noise, irrelevant attribute noise, and class noise. We formally represent the expected classi-cat...

Recent developments in multimedia and case-based reasoning provide the basis for developing teaching aids for architecture students that present technology and science learning materials as design cases. Case-based reasoning tools can provide assistance in the identification of a relevant design case and the modification of a case for the current design problem. We have developed multimedia lib...