The Knowledge Required for Tutorial Planning: An Empirical Analysis

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Abstract
A significant portion of tutorial interactions revolve around the bugs a student makes. When a tutor performs an intervention to help a student fix a programming bug, the problem of deciding how to help the student appears to require extensive planning. In this article, we identify five considerations tutors appear to take into account when they plan tutorial interventions for students’ bugs. Using data collected from human tutors working in the domain of introductory computer programming, we (1) identify the knowledge tutors use when they reason about the five planning considerations, and (2) show that tutors are consistent in the ways that they use the kinds of knowledge to reason about students’ bugs.

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