Towards a General Model for Supporting Explanations to Enhance Learning

We present a project with the goal of developing a general model for supporting explanations, which could be used in both well-and ill-defined instructional tasks. We have previously studied how human tutors provided additional support to students learning with an existing intelligent tutoring system. Analysis of the interactions by human tutors indicates that they have helped the students to improve their understanding of database design. This paper presents the explanation model developed based on these findings.