Towards individualized dialogue support for ill-defined domains
Date
2009
Authors
Weerasinghe, A.
Mitrovic, A.
Martin, B.
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Journal article
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International Journal of Artificial Intelligence in Education, 2009; 19(4):357-379
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Amali Weerasinghe, Antonija Mitrovic, Brent Martin
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Abstract
One of the critical factors contributing to the effectiveness of human tutoring is the conversational aspect of the instruction. Our goal is to develop a general model for supporting dialogues with menu-based input that could be used in both well- and ill-defined instructional tasks. We have previously studied how human tutors provide additional support to students learning with an existing intelligent tutoring system. On the basis of these findings we developed a model for supporting dialogues, which we present in this paper. We used this model in a Wizard-of-Oz study to provide adaptive support. The results show that students did learn the relevant domain knowledge and that human tutors mostly agreed with the interventions generated from the model.
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© 2009 – IOS Press and the authors. All rights reserved