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


Design Recommendations for Intelligent Tutoring Systems: Volume 1 – Learner Modeling (2013) .. edited by Robert A. Sottilare, etc


CONTENTS

Preface i

Section I: Fundamentals of Learner Modeling 1

Chapter 1 – A Guide to Understanding Learner Models … 3
Arthur Graesser (University of Memphis)

Chapter 2 – Lowering the Barrier to Adoption of Intelligent Tutoring Systems through Standardization … 7
Robby Robson (Eduworks Corporation)
Avron Barr (Aldo Ventures)

Chapter 3 – Important Considerations for Learner Models: Transfer Potential and Pedagogical Content Knowledge … 15
Alan Lesgold (University of Pittsburgh)
Arthur Graesser (University of Memphis)

Chapter 4 – Matching Learner Models to Instructional Strategies … 23
Andrew M. Olney (University of Memphis)
Whitney L. Cade (University of Memphis)

Chapter 5 – A Review of Student Models Used in Intelligent Tutoring Systems … 39
Philip I. Pavlik Jr. (University of Memphis)
Keith Brawner (U.S. Army Research Laboratory)
Andrew Olney (University of Memphis)
Antonija Mitrovic (University of Canterbury)

Section II: Current Learner Modeling Tools and Methods 69

Chapter 6 – Understanding Current Learner Modeling Approaches … 71
Heather K. Holden (U.S. Army Research Laboratory)

Chapter 7 – Affective-Behavioral-Cognitive (ABC) Learner Modeling … 75
Abhiraj Tomar (University of North Texas)
Rodney D. Nielsen (University of North Texas)

Chapter 8 – The Need for Empirical Evaluation of Learner Model Elements … 87
Heather K. Holden (U.S. Army Research Laboratory)
Anne M. Sinatra (U.S. Army Research Laboratory)

Chapter 9 – On the Use of Learner Micromodels as Partial Solutions to Complex Problems in a Multiagent, Conversation-based Intelligent Tutoring System … 97
Xiangen Hu (University of Memphis)
Donald M. Morrison (University of Memphis)
Zhiqiang Cai (University of Memphis)

Chapter 10 – Learner Models in the Large-Scale Cognitive Modeling (LSCM) Initiative … 111
Scott A. Douglass (U.S. Air Force Research Laboratory)

Section III: Emerging Learner Modeling Approaches 127

Chapter 11 – Emerging Learner Modeling Concepts … 129
Xiangen Hu (University of Memphis)
Donald M. Morrison (University of Memphis)

Chapter 12 – The Need for a Mathematical Model of Intelligent Tutoring … 133
Robby Robson (Eduworks Corporation)
Xiangen Hu (University of Memphis)
Donald M. Morrison (University of Memphis)
Zhiqiang Cai (University of Memphis)

Chapter 13 – Modeling Student Competencies in Video Games Using Stealth Assessment … 141
Valerie Shute (Florida State University)
Matthew Ventura (Florida State University)
Matthew Small (Florida State University)
Benjamin Goldberg (U.S. Army Research Laboratory)

Chapter 14 – Assessing the Disengaged Behaviors of Learners … 153
Ryan S.J.d. Baker (Teachers College Columbia University)
Lisa M. Rossi (Worcester Polytechnic Institute)

Chapter 15 – Knowledge Component (KC) Approaches to Learner Modeling … 165
Vincent Aleven (Carnegie Mellon University)
Kenneth R. Koedinger (Carnegie Mellon University)

Chapter 16 – Towards Learner Models based on Learning Progressions (LPs) in DeepTutor … 183
Vasile Rus (University of Memphis)
William Baggett (University of Memphis)
Elizabeth Gire (University of Memphis)
Don Franceschetti (University of Memphis)
Mark Conley (University of Memphis)
Arthur Graesser (University of Memphis)

Section IV: Future Learner Modeling Concepts 193

Chapter 17 – Pushing and Pulling Toward Future ITS
Learner Modeling Concepts … 195
Robert A. Sottilare (U.S. Army Research Laboratory)

Chapter 18 – Learner Modeling to Predict Real-Time Affect in Serious Games … 199
James Lester (North Carolina State University)
Bradford Mott (North Carolina State University)
Jonathan Rowe (North Carolina State University)
Jennifer Sabourin (North Carolina State University)

Chapter 19 – Intelligent Creativity Support … 209
Winslow Burleson (Arizona State University)
Kasia Muldner (Arizona State University)

Chapter 20 – Learner Modeling Considerations for a Personalized Assistant for Learning (PAL) … 217
Damon Regan (The Tolliver Group, Inc.)
Elaine M. Raybourn (Sandia National Laboratories)
Paula J. Durlach (Advanced Distributed Learning Initiative)

Chapter 21 – Eye-Tracking for Student Modelling in Intelligent Tutoring Systems … 227
Cristina Conati (University of British Columbia)
Vincent Aleven (Carnegie Mellon University)
Antonija Mitrovic (University of Canterbury)

Chapter 22 – Shared Mental Models of Cognition for Intelligent Tutoring of Teams … 237
J.D. Fletcher (Institute for Defense Analyses)
Robert A. Sottilare (U.S. Army Research Laboratory)

Biographies 253
Acronyms List 267
Index 273

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