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Adaptive, policy-driven, after action review in the generalized intelligent framework for tutoring

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2018) 10915 LNAI 24-33
DOI: 10.1007/978-3-319-91470-1_3
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Abstract

Tutoring on a one-on-one basis from an expert human tutor who is also a subject matter expert represents the ideal arrangement for learning – improving student outcomes on between one and two standard deviations.

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Brawner, K., Carlin, A., Oster, E., Nucci, C., & Kramer, D. (2018). Adaptive, policy-driven, after action review in the generalized intelligent framework for tutoring. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10915 LNAI, pp. 24–33). Springer Verlag. https://doi.org/10.1007/978-3-319-91470-1_3

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