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Robert A. Sottilare, Arthur C. Graesser, Xiangen Hu, and Heather Holden, Eds.
U.S. Army Research Laboratory - Human Research and Engineering Directorate;
University of Memphis Institute for Intelligent Systems
Folder: 1CHAPTER 1 ‒ A Guide to Understanding Learner Models
Arthur Graesser-University of Memphis
Folder: 1Assignment: 1URL: 1Pages: 2CHAPTER 2 ‒ Lowering the Barrier to Adoption of Intelligent Tutoring Systems through Standardization
Robby Robson and Avron Barr
Eduworks Corporation; Aldo Ventures
- Liang Zhang Lead the Technology & Demo session for Chapter. He will talk about xAPI.
Folder: 1URLs: 2CHAPTER 3 ‒ Important Considerations for Learner Models: Transfer Potential and Pedagogical Content Knowledge
Alan Lesgold and Arthur Graesser
University of Pittsburgh; University of Memphis
First Week: Wei Chu did a presentation on this chapter.
Second Week: Genghu Shi, Lijia Wang, and Peng Ji do ignite presentations.
Folder: 1CHAPTER 4 ‒Matching Learner Models to Instructional Strategies
Andrew M. Olney and Whitney L. Cade
University of Memphis
- On April 25th, 2019, Meng Cao and Lei Yang will do REVIEW and IGNITE PRESENTATIONS ON Chapter 4-‒Matching Learner Models to Instructional Strategies.
- On May 2nd, the author of the chapter, Andrew Olney will present.
Folder: 1CHAPTER 5 ‒A Review of Student Models Used in Intelligent Tutoring Systems
Philip I. Pavlik Jr. , Keith Brawner , Andrew Olney , and Antonija Mitrovic
University of Memphis; U.S. Army Research Laboratory; University of Canterbury - New Zealand
1. Meng Cao will do 30 mins presentation, and Ying Fang and Yinghui Huang will do ignite presentation on Jan. 24th 2019.
2. Dr. Philip I. Pavlik Jr. will do a presentation on the overview of learning models on Jan. 31st 2019.
Folder: 1URL: 1CHAPTER 6 ‒Understanding Current Learner Modeling Approaches
Heather K. Holden
U.S. Army Research Laboratory (ARL) - Human Research and Engineering Directorate (HRED)
Ziyi Kuang, Xu Sheng, and Lijia Wang did 30-min and ignite presentations.
Folder: 1CHAPTER 7 ‒Affective-Behavioral-Cognitive (ABC) Learner Modeling
Abhiraj Tomar and Rodney D. Nielsen
University of North Texas
Rui Zhang, Xuechen Zhang, and Genghu Shi gave the 30-min and ignite presentations on this chapter on Oct. 17th 2019
Genghu Shi led the technology demo on GiFT Cloud on Oct. 24th 2019.
Folder: 1CHAPTER 8 ‒The Need for Empirical Evaluation of Learner Model Elements
Heather K. Holden and Anne M. Sinatra
U.S. Army Research Laboratory (ARL) - Human Research and Engineering Directorate (HRED)
Wang Zhen and Suo Yuxian give overview and ignite presentations on this chapter on Sep 12th 2019.
Feedback: 1Folder: 1Files: 2CHAPTER 9 ‒On the Use of Learner Micromodels as Partial Solutions to Complex Problems in a Multiagent, Conversation-based Intelligent Tutoring System
Xiangen Hu, Donald M. Morrison, Zhiqiang Cai
Institute for Intelligent Systems (IIS); University of Memphis (UM)
On April 11, 2019, Kai-Chih Pai and Lijia Wang will do review and ignite presentation on Chapter 9 - On the Use of Learner Micromodels as Partial Solutions to Complex Problems in a Multiagent Conversation-based Intelligent Tutoring System.
Folder: 1CHAPTER 10 ‒Learner Models in the Large-Scale Cognitive Modeling (LSCM) Initiative
Scott A. Douglass
U.S. Air Force Research Laboratory (AFRL) - Cognitive Models and Agents Branch (RHAC)
Liang Zhang and Lei Yang do the 30-min presentation and ignite presentation.
Liang Zhang did another presentation which compared the RML and xAPI.
Folder: 1CHAPTER 11 ‒Emerging Learner Modeling Concepts
Xiangen Hu and Donald M. Morrison
University of Memphis - Institute for Intelligent Systems
Folder: 1CHAPTER 12 ‒The Need for a Mathematical Model of Intelligent Tutoring
Robby Robson , Xiangen Hu , Donald M. Morrison , Zhiqiang Cai
Eduworks Corporation; University of Memphis
Peng Ji and Genghu did the 30-min and ignite presentation.
Folder: 1CHAPTER 13 ‒Modeling Student Competencies in Video Games Using Stealth Assessment
Valerie Shute , Matthew Ventura , Matthew Small , and Benjamin Goldberg
Florida State University, U.S. Army Research Laboratory
Xuechen Zhang and Liang Zhang did the 30-min and ignite presentation on Nov. 21 2019.
Folder: 1CHAPTER 14 ‒Assessing the Disengaged Behaviors of Learners
Ryan S.J.d. Baker , Lisa M. Rossi
Columbia University Teachers College; Worcester Polytechnic Institute
Jianhua Han and Wenhui Xu reported the CHAPTER 14 ‒Assessing the Disengaged Behaviors of Learners
Folder: 1CHAPTER 15 ‒Knowledge Component (KC) Approaches to Learner Modeling
Vincent Aleven and Kenneth R. Koedinger
Carnegie Mellon University - Human-Computer Interaction Institute
Lijia Wang, Chia-Hua Lin, Liang Zhang, and Wenhui Xu will do review and ignite presentations on this Chapter on March 14th, 2019.
Folder: 1CHAPTER 16 ‒Towards Learner Models based on Learning Progressions (LPs) in DeepTutor
Vasile Rus, William Baggett, Elizabeth Gire, Don Franceschetti, Mark Conley, and Arthur Graesser
The University of Memphis
Lijia Wang and Jianhua Han reported this chapter.
Folder: 1CHAPTER 17 ‒ Pushing and Pulling Toward Future ITS Learner Modeling Concepts
Robert A. Sottilare
U.S. Army Research Laboratory - Human Research and Engineering Directorate
Liang Zhang and Lijia Wang reported this chapter.
Folder: 1CHAPTER 18 ‒ Learner Modeling to Predict Real-Time Affect in Serious Games
James Lester, Bradford Mott, Jonathan Rowe, and Jennifer Sabourin
North Carolina State University - Department of Computer Science
Genghu Shi, Quan Zheng, and Jianhua Han reported this chapter.Folder: 1CHAPTER 19 ‒Intelligent Creativity Support
Winslow Burleson and Kasia Muldner
Arizona State University - School of Computing Informatics and Decision Systems Engineering
Liang Zhang and Lijia Wang reported this chapter.
Folder: 1CHAPTER 20 ‒Learner Modeling Considerations for a Personalized Assistant for Learning (PAL)
Damon Regan , Elaine M. Raybourn , and Paula J. Durlach
The Tolliver Group, Inc., supporting the ADL Initiative; Sandia National Laboratories; Advanced Distributed Learning Initiative (ADL)
Lijia Wang, Keith Shubeck, and Jianhua Han reported this chapter.
Folder: 1CHAPTER 21 ‒Eye-Tracking for Student Modelling in Intelligent Tutoring Systems
Cristina Conati , Vincent Aleven , and Antonija Mitrovic
University of British Columbia, Vancouver, Canada; Carnegie Mellon University, Pittsburgh, U.S.A; University of Canterbury, Christchurch, NZ
Genghu Shi, Yanqing Wang, and Xiaomeng Yang reported this chapter.
Folder: 1CHAPTER 22 ‒Shared Mental Models of Cognition for Intelligent Tutoring of Teams
J.D. Fletcher and Robert A. Sottilare
Institute for Defense Analyses - Science & Technology Division; U.S. Army Research Laboratory - Human Research and Engineering Directorate
Liang Zhang and Jianhua Han reported this chapter.
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