Peer-based intelligent tutoring systems: A corpus-oriented approach

Abstract

Our work takes as a starting point McCalla's proposed ecological approach for the design of peer-based intelligent tutoring systems and proposes: (i) to develop an algorithm for selecting appropriate content (learning objects) to present to a student, based on previous learning experiences of like-minded students (ii) 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 (iii) 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 (iv) to apply our work to the specific application of assisting health care workers via peer-based intelligent tutoring, primarily for homecare environments. © 2010 Springer-Verlag.