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Toward “Hyper-Personalized” Cognitive Tutors Non-Cognitive Personalization in the Generalized Intelligent Framework for Tutoring

2013; Fancsali, S.; Ritter, S.; Stamper, J.; Nixon, T.

We are starting to integrate Carnegie Learning’s Cognitive Tutor (CT) into the Army Research Laboratory’s Generalized Intelligent Framework for Tutoring (GIFT), with the aim of extending the tutoring systems to understand the impact of integrating non-cognitive factors into our tutoring. As part of this integration, we focus on ways in which non-cognitive factors can be assessed, measured, and/or “detected.” This research provides the groundwork for an Office of the Secretary of Defense (OSD) Advanced Distributed Learning (ADL)-funded project on developing a “Hyper-Personalized” Intelligent Tutor (HPIT). We discuss the integration of the HPIT project with GIFT, highlighting several important questions that such integration raises for the GIFT architecture and explore several possible resolutions.

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