Design Recommendations for Intelligent Tutoring Systems: Volume 8 - Data Visualization

Anne Sinatra · Arthur C. Graesser · Xiangen Hu · Benjamin Goldberg · Andrew J. Hampton

Dec 2020 · U.S. Army Combat Capabilities Development Command – Soldier Center

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220

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About this ebook

This book on data visualization is the eighth in a planned series of books that examine key topics (e.g., learner modeling, instructional strategies, authoring, domain modeling, assessment, team tutoring, self-improving systems, data visualization, and competency based scenario design) in intelligent tutoring system (ITS) design. This book focuses on data visualization and how it is applied in ITSs. The chapters within this book specifically examine topics in relationship to the Generalized Intelligent Framework for Tutoring (GIFT) (Sottilare, Brawner, Goldberg & Holden, 2012; Sottilare, Brawner, Sinatra, & Johnston, 2017). GIFT is an open-source, domain-independent, modular, service-oriented architecture for ITSs. The design of GIFT allows for reusability, reduction in authoring time, and reducing the skill level needed to create an ITS. GIFT provides functionality to create ITSs, distribute ITSs to learners through the Cloud, conduct research to evaluate ITSs, and to examine instructional outcomes.

Data visualization is an important topic for ITSs, as there are many different users of the systems (including learners, instructors, researchers, subject matter experts). The data that is collected by the ITS can be organized and displayed in a number of different ways. The current book includes a general discussion of how data visualizations can be applied in ITSs, as well as detailed specific examples of existing implementations, and technical details related to incorporating data visualization in ITSs. We believe this book can be used as a design tool for data visualization interfaces in ITSs.

About the author

Dr. Anne M. Sinatra is a research psychologist at the U.S. Army Combat Capabilities Development Command - Soldier Center - Simulation and Training Technology Center and works on the Generalized Intelligent Framework for Tutoring

Dr. Arthur C. Graesser is a professor in the Department of Psychology and the Institute of Intelligent Systems at the University of Memphis and is a Senior Research Fellow in the Department of Education and the University of Oxford.

Dr. Xiangen Hu is a professor in the Department of Psychology at the University of Memphis and visiting professor ad the Central China University.

Dr. Benjamin Goldberg is a member of the Learning in Intelligent Tutoring Environments (LITE) Lab at the U.S. Army CCDC Soldier Center in Orlando, FL. Currently, he is the LITE Lab’s lead scientist on instructional management research within adaptive training environments and is a co-creator of the Generalized Intelligent Framework for Tutoring (GIFT). Dr. Goldberg is a Ph.D. graduate from the University of Central Florida in the program of Modeling & Simulation. His work has been published across several well-known conferences, with recent contributions to the Human Factors and Ergonomics Society (HFES), Artificial Intelligence in Education and Intelligent Tutoring Systems (ITS) proceedings. Dr. Goldberg has also recently contributed to the journal Computers in Human Behavior and the Journal of Cognitive Technology.

Dr. Andrew J. Hampton is a research scientist assistant professor at the Institute for Intelligent Systems, within the University of Memphis. His current duties include serving as a grant coordinator and project manager on the pioneering hybrid tutor ElectronixTutor. He is also one of the development leaders on a conversational AI meant to aid in career planning through education and qualification tracking, intelligent recommendation, and mitigation of personal issues.

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