Peer-Based Intelligent Tutoring Systems: A Corpus-Oriented Approach

摘要

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.