T33: Fundamentals of Adaptive Instructional Systems (AISs)

Thursday, 29 July 2021, 08:00 – 12:00 EDT (Eastern Daylight Time - Washington DC)
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Dr. Robert Sottilare (short bio)

Soar Technology, AIS Consortium and Adaptive Instructional Consultants, United States

 

Dr. Xiangen Hu (short bio)

University of Memphis and Central China Normal University, United States

 

Objectives: upon completion of this tutorial, participants will be able to:

  • Define the fundamental principles of adaptive instruction
  • Identify characteristics of adaptive instructional systems (AISs)
  • Describe various types of AISs and their software architectures (e.g., GIFT and AutoTutor)
  • Interpret functional elements of AIS conceptual models
  • Differentiate methods for AIS development, deployment and evaluation
  • Appraise the important role of artificial intelligence (AI) in AISs
  • Understand the benefits of AIS standards and recommended practices
  • Identify activities in the AIS marketplace that align with their research and development goals

 

Content and benefits:

This tutorial provides a fundamental overview of adaptive instruction, emerging requirements and standards, conceptual models, adaptive strategies, interaction design, authoring processes, and activities in the AIS marketplace

 

Target Audience:

This tutorial is suitable for beginners and has no pre-requisites

 

Additional Platform to be used:

  • Authoring tools in the Generalized Intelligent Framework for Tutoring (GIFT) – www.GIFTtutoring.org
  • AutoTutor conversational agents

 

Materials and Devices Required by Participants:

Project, projection screen, microphone

Bio Sketches of Presenters:

Dr. Robert Sottilare joined Soar Technology as the Director of Learning Sciences in 2018 after completing a 35-year federal career in both US Army and Navy training science and technology organizations. At the US Army Research Laboratory, he led the adaptive training science and technology program where the focus of his research was automated authoring, instructional management, and analysis tools and methods for intelligent tutoring systems (ITSs) and standards for adaptive instructional systems (AISs). He is the father of the Generalized Intelligent Framework for Tutoring (GIFT), an award-winning open source, AI-based adaptive instructional architecture. GIFT has over 2500 users in 76 countries. GIFT has been integrated with a variety of augmented, virtual, and live simulation environments to guide and enhance learning and performance. Dr. Sottilare’s current research includes the application of AI to enhance human performance, adaptive instruction, intelligent tutoring systems, educational data mining, and adaptive instructional methods. Dr. Sottilare has been a faculty scholar and adjunct professor at the University of Central Florida where he taught a graduate level course in ITS theory and design. He also provides science & technology advice as CEO of Adaptive Instructional Consultants. Among his various leadership roles, Dr. Sottilare is Chair of the HCII AIS Conference and associate editor of the IEEE Transactions on Learning Technologies Journal. Recently, he was elected Chairman of the Board and appointed as Executive Director of the AIS Consortium, a non-profit organization under the IEEE Industry Standards & Technology Organization.

Dr. Xiangen Hu is a professor in the Department of Psychology, Department of Electrical and Computer Engineering and Computer Science Department at The University of Memphis (UofM) and senior researcher at the Institute for Intelligent Systems (IIS) at the UofM and is professor and Dean of the School of Psychology at Central China Normal University (CCNU). Dr. Hu received his MS in applied mathematics from Huazhong University of Science and Technology, MA in social sciences and Ph.D. in Cognitive Sciences from the University of California, Irvine. Dr. Hu is the Director of Advanced Distributed Learning (ADL) Partnership Laboratory at the UofM, and is a 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 has received funding for the above research from the US National Science Foundation (NSF), US Institute of Education Sciences (IES), ADL of the US Department of Defense (DoD), US Army Medical Research Acquisition Activity (USAMRAA), US Army Research Laboratories (ARL), US Office of Naval Research (ONR).