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Intelligent Tutoring Systems

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Cover of 'Intelligent Tutoring Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Instructional Applications of ACT: Past, Present, and Future
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    Chapter 2 Teaching Expertise and Learning Environments
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    Chapter 3 Hanging by Two Threads: The Evolution of Intelligent Tutoring Systems Research
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    Chapter 4 My Knowledge of Knowledge
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    Chapter 5 Cognitive Tools to Support Discovery Learning
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    Chapter 6 Using a Learning Agent with a Student Model
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    Chapter 7 Model-Based Explanations in Simulation-Based Training
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    Chapter 8 Towards an Intelligent Tutoring System for Situation Awareness Training in Complex, Dynamic Environments
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    Chapter 9 Embedded Training for Complex Information Systems
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    Chapter 10 Macro-Definitions, a Basic Component for Interoperability between ILEs at the Knowledge Level : Application to Geometry
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    Chapter 11 Modeling the Knowledge-Based Components of a Learning Environment within the Task/Method Paradigm
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    Chapter 12 Deconstructing a Computer-Based Tutor: Striving for Better Learning Efficiency in Stat Lady
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    Chapter 13 Habitable 3D Learning Environments for Situated Learning
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    Chapter 14 Motivation Diagnosis in Intelligent Tutoring Systems
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    Chapter 15 Some Reasons Why Learning Science is Hard: Can Computer Based Law Encoding Diagrams Make It Easier?
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    Chapter 16 Curriculum Evaluation : A Case Study
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    Chapter 17 A Bottom-Up Approach to Multimedia Teachware
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    Chapter 18 The Authoring Assistant
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    Chapter 19 Explanatory Mechanisms for Intelligent Tutoring Systems
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    Chapter 20 DNA — Uncorking the Bottleneck in Knowledge Elicitation and Organization
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    Chapter 21 Evaluating Subject Matter Experts’ Learning and Use of an ITS Authoring Tool
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    Chapter 22 Component-Based Construction of a Science Learning Space
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    Chapter 23 ‘Do It Yourself’ Student Models for Collaborative Student Modelling and Peer Interaction
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    Chapter 24 Promoting Effective Peer Interaction in an Intelligent Collaborative Learning System
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    Chapter 25 Using Induction to Generate Feedback in Simulation Based Discovery Learning Environments
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    Chapter 26 An Interactive Graphical Tool for Efficient Cooperative Task Acquisition Based on Monaco-T Model
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    Chapter 27 Learning in the Workplace: Initial Requirements of a Lessons Learned Centred Corporate Memory
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    Chapter 28 An ITS for Dutch Punctuation
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    Chapter 29 Cognitive Task Analysis in Service of Intelligent Tutoring System Design: A Case Study in Statistics
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    Chapter 30 Diagrammatic Reasoning for Geometry ITS to Teach Auxiliary Line Construction Problems
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    Chapter 31 Providing Feedback to Equation Entries in an Intelligent Tutoring System for Physics
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    Chapter 32 Using Automatic Methods for Structuring Conceptual Knowledge in Intelligent Learning Environments
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    Chapter 33 Two-Phase Updating of Student Models Based on Dynamic Belief Networks
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    Chapter 34 Teaching and Learning with Intelligent Agents: Actors
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    Chapter 35 Self-organized Goal-Oriented Tutoring in Adaptive Hypermedia Environments
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    Chapter 36 Ecolab: Exploring the Construction of a Learning Assistant
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    Chapter 37 Information Types and Cognitive Principles in Program Comprehension: Towards Adaptable Support for Novice Visual Programmers
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    Chapter 38 A Domain Theory Extension of a Student Modeling System for Pascal Programming
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    Chapter 39 The Foundations and Architecture of Autotutor
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    Chapter 40 Verbal Coaching during a Real-Time Task
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    Chapter 41 Successful Use of an Expert System to Teach Diagnostic Reasoning for Antibody Identification
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    Chapter 42 Combatting Shallow Learning in a Tutor for Geometry Problem Solving
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    Chapter 43 A Formative Evaluation of the PACT Algebra II Tutor: Support for Simple Hierarchical Reasoning
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    Chapter 44 Evaluation of Data Aging: A Technique for Discounting Old Data during Student Modeling
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    Chapter 45 Student Modelling by Case Based Reasoning
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    Chapter 46 Tutoring Prolog Novices Based on Programming Techniques
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    Chapter 47 Experiences in Implementing Constraint-Based Modeling in SQL- Tutor
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    Chapter 48 A Practical Approach to Bayesian Student Modeling
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    Chapter 49 Student Modeling from Conventional Test Data: A Bayesian Approach without Priors
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    Chapter 50 Toward a Unification of Human-Computer Learning and Tutoring
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    Chapter 51 Developing Intelligent Educational Agents with the Disciple Learning Agent Shell
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    Chapter 52 An Instructor’s Assistant for Team-Training in Dynamic Multi-agent Virtual Worlds
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    Chapter 53 Visual Emotive Communication in Lifelike Pedagogical Agents
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    Chapter 54 Incorporating Personality into a Multi-agent Intelligent System for Training Teachers
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    Chapter 55 The Intelligent Helpdesk: Supporting Peer-Help in a University Course
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    Chapter 56 On the Notion of Components for Intelligent Tutoring Systems
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    Chapter 57 An Intelligent Tutoring System for Teaching Formal Languages
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    Chapter 58 Elaborating Models of Algebraic Expression-Writing
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    Chapter 59 AVATAR: An Intelligent Air Traffic Control Simulator and Trainer
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    Chapter 60 An Advanced Embedded Training System (AETS) for Tactical Team Training
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    Chapter 61 Creating More Versatile Intelligent Learning Environments with a Component-Based Architecture
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    Chapter 62 Goal-Based Autonomous Social Agents: Supporting Adaptation and Teaching in a Distributed Environment
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    Chapter 63 Curriculum Sequencing in a Web-Based Tutor
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    Chapter 64 Vincent, an Autonomous Pedagogical Agent for On-the-Job Training
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    Chapter 65 LANCA : A Distance Learning Architecture Based on Networked Cognitive Agents
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    Chapter 66 The Extension of an Actor Language from Domain-Specific Requirements
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    Chapter 67 A Classification System for Web-Based Training
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    Chapter 68 An Interactive Intelligent Tutoring System with Tutorials Generation and English-Malay Translation Abilities
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    Chapter 69 WinKE: A Pedagogic Tool for Teaching Logic and Reasoning
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    Chapter 70 Thai Learning System on the WWW Using Natural Language Processing and ITS Evaluation
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    Chapter 71 Flexible ILE Development: Case Studies of an Agent-Based Software Engineering Approach
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    Chapter 72 Declarative Mark-Up Languages as a Tool for Developing Educational Hypermedia
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    Chapter 73 Multi-agent Based Pedagogical Games
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    Chapter 74 The SYSTEMIONS: Agents to Design Intelligent Tutoring Systems
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    Chapter 75 An Intelligent Learning Environment for Data Modeling
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    Chapter 76 Lessons Learned in Developing Simulation-Based Expert Systems for Troubleshooting Training
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    Chapter 77 Adult Learning and University Aviation Education
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    Chapter 78 Integrating the CITS and CSCL Paradigms for the Design of an Effective Collaborative Learning System
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    Chapter 79 Cognitive Diagnosis in ITS Using General Pedagogical Rules
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    Chapter 80 Coaching Software Skills on the Job: Laying the Groundwork
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    Chapter 81 The F-16 C Shop Maintenance Skills Tutor
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    Chapter 82 Using Bayesian Networks to Build and Handle the Student Model in Exercise-Based Domains
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    Chapter 83 SERAC : A Multi-agent System for the Evaluation and Revision of Knowledge in ITS
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    Chapter 84 MIS-Tutor: An ITS in Support of IS Mastery Learning
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    Chapter 85 Modeling the Cognitive Effects of Participative Learner Modeling
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    Chapter 86 Cognitive Measures for Visual Concept Teaching with Intelligent Tutoring Systems
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    Chapter 87 GURU: A Self-extending Tutor Model for Pascal Programming
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    Chapter 88 Computational Instructional Design for Construction of Adaptive Tutors in Real Time from Distributed Learning Objects
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    Chapter 89 Influence of Didactic and Computational Constraints on ILE Design
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    Chapter 90 Methodologies for Tutoring in Procedural Domains
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    Chapter 91 ITS Technologies in Virtual Environments: Can We Harness the Synergy?
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    Chapter 92 Semantics and Pedagogy in Authoring Educational Technology: Confronting the Mismatch between Researchers’ Expectations and Users’
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    Chapter 93 The Use of ‘War Stories’ in Intelligent Learning Environments
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    Chapter 94 Lessons Learned from Large-Scale Implementation of Adaptive Tutoring Systems: The Fundamental Skills Training Project
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    Chapter 95 Workshop I — Intelligent Tutoring Systems on the Web
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    Chapter 96 Workshop II — Pedagogical Agents
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    Chapter 97 Workshop III — Efficient ITS Development
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    Chapter 98 Workshop IV — The Failure of Cognitive Science in the Courseware Marketplace: If We’re So Damned Smart, Why Aren’t We Rich?
Overall attention for this book and its chapters
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Title
Intelligent Tutoring Systems
Published by
Springer, January 1998
DOI 10.1007/3-540-68716-5
ISBNs
978-3-54-064770-6, 978-3-54-068716-0
Editors

Goettl, Barry P., Halff, Henry M., Redfield, Carol L., Shute, Valerie J.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 2%
Student > Master 1 2%
Unknown 43 96%
Readers by discipline Count As %
Mathematics 1 2%
Computer Science 1 2%
Unknown 43 96%