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 …

In this thesis, we present an artificial intelligence approach for tutoring students in
environments where there is a large repository of possible learning objects (eg texts …

We revisit a framework for designing peer-based intelligent tutoring systems motivated by
McCalla's ecological approach, where learning is facilitated by the previous experiences of …

In this paper, we promote a model for peer-based intelligent tutoring that leverages the past
learning experiences of students with a repository of learning objects. Consistent with …

This study describes the design and implementation of a naive computer peer agent called
KORI-2. Unlike prevalent intelligent tutoring systems that implement a machine tutor …

In this paper, we present a framework designed to enable peer-based intelligent tutoring,
inspired by McCalla's ecological approach [4]. In particular, we focus on the question of how …

In this paper, we present an algorithm for reasoning about the sequencing of content for
students in an intelligent tutoring system. Our motivating influence is McCalla's ecological …

In this paper, we examine a challenge that arises in the application of peer-based tutoring:
coping with inappropriate advice from peers. We examine an environment where students …

Learning outcomes from intelligent tutoring systems (ITSs) tend to be quite strong, usually in
the neighborhood of one standard deviation. However, most ITS designers use the learning …

In this paper we detail a preliminary model for reasoning about annotating learning objects
and intelligently showing annotations to users who will benefit from them. Student …