Examples and Lessons Learned Utilizing the Generalized Intelligent Framework for Tutoring (GIFT)

Abstract: The Generalized Intelligent Framework for Tutoring (GIFT) is an open-source intelligent tutoring system (ITS) framework that can be used to create ITSs in any topic area (Goldberg & Sinatra, 2023). Flexibility is a large part of GIFT’s design, and there are many different ways that it can and has been used. In our discussion as part of the “SIG: Intelligent Tutoring Systems and Generalized Intelligent Framework for Tutoring-GIFT: Applicability to Industry, Academia, and Government” panel, and in the current paper, we focus on two different examples of using GIFT, and the lessons learned. These examples and lessons learned provide insight into how GIFT has been used, and how others could use it for their own work. The two use cases to be discussed are relevant to Human Factors professionals and include using GIFT to create and provide online adaptive lessons prior to the beginning of a class and using GIFT for real-time assessment during a data collection. In the first example, GIFT was used to create adaptive courses which were provided to students online prior to an in-person class. The discussion focuses on the features of GIFT that were used, and the type of adaptations that GIFT made. Further, lessons learned from defining the associated GIFT course concepts, and designing the GIFT courses are discussed. In the second example, GIFT was used for real time assessment during a data collection effort utilizing a handheld tablet to readily and easily track team performance over time. The data outputs were then utilized to guide After Action Reviews following the scenarios. Our panel discussion will showcase different ways that GIFT can and has been used, and provide SIG participants the opportunity to ask questions that are relevant to their own work.

Keywords: Intelligent Tutoring Systems, Generalized Intelligent Framework for Tutoring, Adaptive Instructional Systems

DOI: 10.54941/ahfe1006387

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