Collaboration and Content Recognition Features in an Inquiry Tutor
نویسندگان
چکیده
Introduction We demonstrate an intelligent tutor that detects the content of collaborative behavior and offers relevant domain level interventions. Rashi is a domain independent intelligent tutor providing visitors with practice using inquiry skills. When working on human biology, visitors interact with a virtual sick patient whom they must successfully diagnose. Rashi supports visitors as they create hypotheses and collect data to support and refute these hypotheses. In order to increase the efficacy of Rashi, we incorporated collaborative tools that support group efforts by supporting visitors to dynamically share experiences and work together to reach a diagnosis. In addition to this, Rashi contains an intelligent agent that examines collaborative efforts and automatically detects the expert knowledge visitors are working with. Visitors to this demo will first explore these collaborative tools in detail. Two people will collaborate about a diagnosis and the intelligent agent will examine their collaborative activity and compare it with an expert knowledge base, to determine what domain content is relevant to their activities. The tutor will provide interventions to the visitors that leverage this content recognition.
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