Design Recommendations for Intelligent Tutoring Systems: Volume 1: Learner Modeling

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Army Research Laboratory, Dec 10, 2013 - Education
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About the author (2013)

Dr. Robert Sottilare serves as the Chief Technology Officer (CTO) of the Simulation & Training Technology Center (STTC) within the Human Research and Engineering Directorate (HRED) at the U.S. Army Research Laboratory (ARL). He also leads adaptive tutoring research within ARL's Learning in Intelligent Tutoring Environments (LITE) Laboratory where the focus of his research is in automated authoring, instructional management, and analysis tools and methods for intelligent tutoring systems. His work is widely published and includes recent articles in the Cognitive Technology and the Educational Technology Journals. Dr. Sottilare is a co-creator of GIFT (www.GIFTtutoring.org). He received his doctorate in modeling and simulation from the University of Central Florida with a focus in intelligent systems. In January 2012, he was honored as the inaugural recipient of the U.S. Army Research Development & Engineering Command's Modeling & Simulation Lifetime Achievement Award. Dr. Graesser is a professor in the Department of Psychology and the Institute of Intelligent Systems at the University of Memphis and is an Honorary Research Fellow at the University of Oxford. His primary research interests are in cognitive science, discourse processing, and the learning sciences. More specific interests include knowledge representation, question asking and answering, tutoring, text comprehension, inference generation, conversation, reading, memory, emotions, computational linguistics, artificial intelligence, human-computer interaction, learning technologies with animated conversational agents (such as AutoTutor and Operation ARA), and automated analyses of texts at multiple levels (such as Coh-Metrix, and Question Understanding AID [QUAID]). He served as editor of the journal Discourse Processes (1996-2005) and Journal of Educational Psychology (2009‒2014). His service in professional societies includes president of the Empirical Studies of Literature, Art, and Media (1989‒1992), the Society for Text and Discourse (2007-2010), the International Society for Artificial Intelligence in Education (2007‒2009), and the Federation of Associations for Behavioral and Brain Sciences Foundation (2012‒2013). In addition to receiving major lifetime research achievements awards from the Society for Text and Discourse and University of Memphis, he received an award in 2011 from American Psychological Association on Distinguished Contributions of Applications of Psychology to Education and Training. Dr. Xiangen Hu is a professor in the Department of Psychology at The University of Memphis (UoM) and senior researcher at the Institute for Intelligent Systems (IIS) at the UofM and visiting professor at Central China Normal University (CCNU). Dr. Hu received his MS in applied mathematics (1985) from Huazhong University of Science and Technology, MA in social sciences (1991) and Ph.D. in cognitive sciences (1993) from the University of California, Irvine. Currently, Dr. Hu is the director of the cognitive psychology at the UofM, the Director of Advanced Distributed Learning (ADL) Center for Intelligent Tutoring Systems (ITS) Research & Development, and senior researcher in the Chinese Ministry of Education's Key Laboratory of Adolescent Cyberpsychology and Behavior. Dr. Hu's primary research areas include mathematical psychology, research design and statistics, and cognitive psychology. More specific research interests include general processing tree (GPT) models, categorical data analysis, knowledge representation, computerized tutoring, and advanced distributed learning. Dr. Hu receives funding for the above research from the U.S. National Science Foundation (NSF), U.S. Institute for Education Sciences (IES), ADL of the U.S. Department of Defense (DoD), U.S. Army Medical Research Acquisition Activity (USAMRAA), U.S. Army Research Laboratories (ARL), U.S. Office of Naval Research (ONR), UofM, and CCNU. Dr. Holden is currently a researcher in the Learning in Intelligent Tutoring Environments (LITE) Lab within Human Research and Engineering Directorate (HRED) at the U.S. Army Research Laboratory (ARL) in the Simulation and Training Technology Center (STTC) in Orlando, Florida. The focus of her research is in learner modeling, artificial intelligence, and computer-based tutoring system application to education and training. Her research interests also include technology acceptance and human-computer interaction. Dr. Holden previously served as an Information Technology Specialist for the Social Security Administration (SSA) National Computing Center in Woodlawn, Maryland. Dr. Holden earned her Doctorate and Masters in Information Systems from the University of Maryland, Baltimore County. She also has a graduate certificate in Instructional Technology from the same university. Her doctoral research evaluated the relationship between teachers' technology acceptance and usage behaviors to better understand the perceived usability and use of job-related technologies. Her work has been published in the Journal of Research on Technology in Education, the International Journal of Mobile Learning and Organization, the Interactive Technology and Smart Education Journal, and several relevant conference proceedings. Her doctoral work has been continued by other researchers in academia. Dr. Holden also possesses a BS in computer science from the University of Maryland, Eastern Shore.

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