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Intelligent Tutoring Systems

Overview of attention for book
Cover of 'Intelligent Tutoring Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Adaptive Hypermedia: From Intelligent Tutoring Systems to Web-Based Education
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    Chapter 2 Infrastructure for Future Network Learning
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    Chapter 3 Can We Learn from ITSs?
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    Chapter 4 Uncertainty, Utility, and Understanding
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    Chapter 5 Stereotypes, Student Models and Scrutability
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    Chapter 6 Life and Learning in the Electronic Village: The Importance of Localization for the Design of Environments to Support Learning
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    Chapter 7 Tutoring Diagnostic Problem Solving
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    Chapter 8 LAHYSTOTRAIN: Integration of Virtual Environments and ITS for Surgery Training
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    Chapter 9 Active Learner Modelling
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    Chapter 10 Training Teams with Collaborative Agents
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    Chapter 11 Evaluating an Animated Pedagogical Agent
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    Chapter 12 Multi-agent Negotiation to Support an Economy for Online Help and Tutoring
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    Chapter 13 The Collaborative System with Situated Agents for Activating Observation Learning
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    Chapter 14 Should I Teach My Computer Peer? Some Issues in Teaching a Learning Companion
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    Chapter 15 WHITE RABBIT - Matchmaking of User Profiles Based on Discussion Analysis Using Intelligent Agents
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    Chapter 16 Applying Patterns to ITS Architectures
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    Chapter 17 Andes: A Coached Problem Solving Environment for Physics
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    Chapter 18 A Collection of Pedagogical Agents for Intelligent Educational Systems
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    Chapter 19 DT Tutor: A Decision-TheoreticDynamic Approach for Optimal Selection of Tutorial Actions
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    Chapter 20 Experimenting Features from Distinct Software Components on a Single Platform
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    Chapter 21 Using Student Task and Learning Goals to Drive the Construction of an Authoring Tool for Educational Simulations
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    Chapter 22 Using an ITS Authoring Tool to Explore Educators’ Use of Instructional Strategies
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    Chapter 23 Is What You Write What You Get?: An Operational Model of Training Scenario
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    Chapter 24 Designing for Collaborative Discovery Learning
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    Chapter 25 An Analysis of Multiple Tutoring Protocols
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    Chapter 26 Understandable Learner Models for a Sensorimotor Control Task
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    Chapter 27 Using Meta-Cognitive Conflicts to Support Group Problem Solving
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    Chapter 28 LeCS: A Collaborative Case Study System
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    Chapter 29 “Today’s Talking Typewriter” Supporting Early Literacy in a Classroom Environment
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    Chapter 30 An Adaptive, Collaborative Environment to Develop Good Habits in Programming
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    Chapter 31 A Reflective CSCL Environment with Foundations Based on the Activity Theory
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    Chapter 32 How Can We Form Effective Collaborative Learning Groups?
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    Chapter 33 Limitations of Student Control: Do Students Know when They Need Help?
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    Chapter 34 Further Results from the Evaluation of an Intelligent Computer Tutor to Coach Self-Explanation
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    Chapter 35 Analyzing and Generating Mathematical Models: An Algebra II Cognitive Tutor Design Study
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    Chapter 36 A Coached Collaborative Learning Environment for Entity-Relationship Modeling
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    Chapter 37 Model of an Adaptive Support Interface for Distance Learning
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    Chapter 38 Agent’s Contribution for an Asynchronous Virtual Classroom
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    Chapter 39 Theoretical and Practical Considerations for Web-Based Intelligent Language Tutoring Systems
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    Chapter 40 Adaptive Multimedia Interface for Users with Intellectual and Cognitive Handicaps
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    Chapter 41 Evaluating the Need for Intelligence in an Adaptive Hypermedia System
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    Chapter 42 Tailoring Feedback by Correcting Student Answers
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    Chapter 43 Design Principles for a System to Teach Problem Solving by Modelling
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    Chapter 44 Evolution of the Hypotheses Testing Approach in Intelligent Problem Solving Environments
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    Chapter 45 The Impact of Representation on Coaching Argument Analysis
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    Chapter 46 Bringing Scrutability to Adaptive Hypertext Teaching
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    Chapter 47 ITS Tools for Natural Language Dialogue: A Domain-Independent Parser and Planner
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    Chapter 48 Cooperative Agents to Track Learner’s Cognitive Gap
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    Chapter 49 Agent-Mediated Language-Learning Environment Based on Communicative Gaps
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    Chapter 50 TEATRIX: Virtual Environment for Story Creation
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    Chapter 51 Fading and Deepening: The Next Steps for Andes and Other Model-Tracing Tutors
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    Chapter 52 An Intelligent Learning Environment for Novice Users of a GUI
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    Chapter 53 A System for Concerned Teaching of Musical Aural Skills
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    Chapter 54 Broader Bandwidth in Student Modeling: What if ITS Were “Eye”TS?
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    Chapter 55 Accretion Representation for Scrutable Student Modelling
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    Chapter 56 Using a Probabilistic Student Model to Control Problem Difficulty
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    Chapter 57 Adaptive Bayesian Networks for Multilevel Student Modelling
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    Chapter 58 Inspecting and Visualizing Distributed Bayesian Student Models
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    Chapter 59 The Explanation Agent
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    Chapter 60 The Conceptual Helper: An Intelligent Tutoring System for Teaching Fundamental Physics Concepts
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    Chapter 61 Macroadapting Animalwatch to Gender and Cognitive Differences with Respect to Hint Interactivity and Symbolism
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    Chapter 62 High-Level Student Modeling with Machine Learning
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    Chapter 63 Individualized Recommendations for Learning Strategy Use
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    Chapter 64 An Empirical Approach to On-Line Learning in SIETTE
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    Chapter 65 Cooperative Problem-Seeking Dialogues in Learning
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    Chapter 66 Course Sequencing for Static Courses? Applying ITS Techniques in Large-Scale Web-Based Education
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    Chapter 67 Modelling the Instructor in a Web-Based Authoring Tool for Algebra-Related ITSs
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    Chapter 68 Improving Story Choice in a Reading Tutor That Listens
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    Chapter 69 Using Computer Algebra for Rapid Development of ITS Components in Engineering
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    Chapter 70 Supporting Discovery Learning in Building Neural Network Models
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    Chapter 71 A Cognitive Model for Automatic Narrative Summarization in a Self-Educational System
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    Chapter 72 Didactic Situations as Multifaceted Theoretical Objects
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    Chapter 73 The Use of Constraint Logic Programming in the Development of Adaptive Tests
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    Chapter 74 An Ontological Approach for Design and Evaluation of Tutoring Systems
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    Chapter 75 Training Scenarios Generation Tools for an ITS to Control Center Operators
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    Chapter 76 Multiple Paradigms for a Generic Diagnostic Proposal
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    Chapter 77 A Description Formalism for Complex Questionnaires
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    Chapter 78 Assisting Planning in Computer-Mediated Explorative Problem-Solving
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    Chapter 79 Annotating Exploration History and Knowledge Mapping for Learning with Web-Based Resources
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    Chapter 80 Collaborative Learning Environment which Enforces Students to Induce Ideas
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    Chapter 81 Adaptive Support for Brain Deficits in Special Education
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    Chapter 82 Student Modelling and Interface Design in SIAL
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    Chapter 83 A Reification of a Strategy for Geometry Theorem Proving
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    Chapter 84 VLab: An Environment for Teaching Behavioral Modeling
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    Chapter 85 W1 - Modeling Human Teaching Tactics and Strategies
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    Chapter 86 W2 - Adaptive and Intelligent Web-Based Education Systems
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    Chapter 87 W3 - Applying Machine Learning to ITS Design/Construction
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    Chapter 88 W4 - Collaborative Discovery Learning in the Context of Simulations
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    Chapter 89 W5 - Case-Based Reasoning in Intelligent Training Systems
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    Chapter 90 W6 - Learning Algebra with the Computer, a Transdisciplinary Workshop
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    Chapter 91 W7 - Advanced Instructional Design for Complex Safety Critical & Emergency Training
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    Chapter 92 Young Researchers Track
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Title
Intelligent Tutoring Systems
Published by
Springer Science & Business Media, June 2000
DOI 10.1007/3-540-45108-0
ISBNs
978-3-54-067655-3, 978-3-54-045108-2
Editors

Gilles Gauthier, Claude Frasson, Kurt VanLehn

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 15%
Lecturer > Senior Lecturer 1 3%
Student > Ph. D. Student 1 3%
Unknown 26 79%
Readers by discipline Count As %
Computer Science 3 9%
Psychology 2 6%
Unknown 28 85%