Our work takes as a starting point McCalla's proposed ecological approach for the design of peer-based intelligent tutoring systems and proposes three distinct directions for research. The first is to develop an algorithm for selecting appropriate content (learning objects) to present to a student, based on previous learning experiences of like-minded students. The second is to build on this research by also having students leaving explicit annotations on learning objects to convey refinements of their understanding to subsequent students; the challenge is to intelligently match students to those annotations that will be most beneficial for their tutoring. The third is to develop methods for intelligently extracting learning objects from a repository of knowledge, in a manner that may be customized to the needs of specific students. In order to develop our research we are exploring the specific application of assisting health care workers via peer-based intelligent tutoring. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Champaign, J. (2010). Peer-based intelligent tutoring systems: A corpus-oriented approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6085 LNAI, pp. 393–396). https://doi.org/10.1007/978-3-642-13059-5_54
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