Advances in Intelligent Tutoring Systems

✍ Scribed by Roger Nkambou, Jacqueline Bourdeau, Riichiro Mizoguchi (auth.), Roger Nkambou, Jacqueline Bourdeau, Riichiro Mizoguchi (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2010
• Tongue: English
• Leaves: 508
• Series: Studies in Computational Intelligence 308
• Edition: 1
• Category: Library

✦ Synopsis

The idea for this book on Intelligent Tutoring Systems (ITS) was sparked by the success of the ITS’08 international conference. The number of presentations and their quality bore witness to the vitality and maturity of the field, and the enthusiasm of the participants held out a promise of sustainability and innovative research. Long life to ITS research! The book is divided into five parts. The introductory chapters to these parts, which summarize foundations, developments, strengths and weaknesses in each of the areas covered, are addressed to all readers. For those who want more in-depth knowledge, we give the floor to researchers who present their work, their results, and their view of what the future holds. It is our hope that all readers will find the book informative and thought-provoking.

✦ Table of Contents

Front Matter....Pages -
Introduction: What Are Intelligent Tutoring Systems, and Why This Book?....Pages 1-12
Front Matter....Pages 13-13
Modeling the Domain: An Introduction to the Expert Module....Pages 15-32
Rule-Based Cognitive Modeling for Intelligent Tutoring Systems....Pages 33-62
Modeling Domains and Students with Constraint-Based Modeling....Pages 63-80
Building Intelligent Tutoring Systems for Ill-Defined Domains....Pages 81-101
A Survey of Domain Ontology Engineering: Methods and Tools....Pages 103-119
Front Matter....Pages 121-121
Modeling Tutoring Knowledge....Pages 123-143
Decision-Making in Cognitive Tutoring Systems....Pages 145-179
Tutorial Dialog in Natural Language....Pages 181-206
Affective Tutors: Automatic Detection of and Response to Student Emotion....Pages 207-227
Ontology-Based Formal Modeling of the Pedagogical World: Tutor Modeling....Pages 229-247
Using Drawings in Knowledge Modeling and Simulation for Science Teaching....Pages 249-264
Front Matter....Pages 265-265
Student Modeling....Pages 267-279
Bayesian Student Modeling....Pages 281-299
Open Learner Models....Pages 301-322
Mining Data for Student Models....Pages 323-337
Managing Learner’s Affective States in Intelligent Tutoring Systems....Pages 339-358
Front Matter....Pages 359-359
Building Intelligent Tutoring Systems: An Overview....Pages 361-375
Authoring Problem-Solving Tutors: A Comparison between ASTUS and CTAT....Pages 377-405
Open Content Authoring Tools....Pages 407-420
Front Matter....Pages 359-359
The Andes Physics Tutoring System: An Experiment in Freedom....Pages 421-443
Front Matter....Pages 445-445
Computer Supported Collaborative Learning and Intelligent Tutoring Systems....Pages 447-463
Preserving Learners’ Privacy....Pages 465-483
Infusing Cultural Awareness into Intelligent Tutoring Systems for a Globalized World....Pages 485-505
Back Matter....Pages -

✦ Subjects

Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics)