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Adaptive instruction for individual learners within the generalized intelligent framework for tutoring (GIFT)

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2016) 9744 90-96
DOI: 10.1007/978-3-319-39952-2_10
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Abstract

This paper discusses tools and methods which are needed to support adaptive instruction for individual learners within the Generalized Intelligent Framework for Tutoring (GIFT), an open source architecture for authoring, adapting instruction, and evaluating intelligent tutoring systems. Specifically, this paper reviews the learning effect model (LEM) which drives adaptive instruction within GIFT-based tutors. The original LEM was developed in 2012 and has been enhanced over time to represent a full range of function encompassing both the learner’s and the tutor’s interactions and decisions. This paper proposes a set of 10 functions to enhance the scope and functionality of the LEM and to extend it to be a career-long model of adaptive instruction and competency.

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Sottilare, R. A. (2016). Adaptive instruction for individual learners within the generalized intelligent framework for tutoring (GIFT). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9744, pp. 90–96). Springer Verlag. https://doi.org/10.1007/978-3-319-39952-2_10

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