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Intelligent Tutoring Systems

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Cover of 'Intelligent Tutoring Systems'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 A Learning Environment for English for Academic Purposes Based on Adaptive Tests and Task-Based Systems
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    Chapter 2 A Model for Student Knowledge Diagnosis Through Adaptive Testing
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    Chapter 3 A Computer-Adaptive Test That Facilitates the Modification of Previously Entered Responses: An Empirical Study
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    Chapter 4 An Autonomy-Oriented System Design for Enhancement of Learner’s Motivation in E-learning
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    Chapter 5 Inducing Optimal Emotional State for Learning in Intelligent Tutoring Systems
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    Chapter 6 Evaluating a Probabilistic Model of Student Affect
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    Chapter 7 Politeness in Tutoring Dialogs: “Run the Factory, That’s What I’d Do”
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    Chapter 8 Providing Cognitive and Affective Scaffolding Through Teaching Strategies: Applying Linguistic Politeness to the Educational Context
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    Chapter 9 Knowledge Representation Requirements for Intelligent Tutoring Systems
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    Chapter 10 Coherence Compilation: Applying AIED Techniques to the Reuse of Educational TV Resources
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    Chapter 11 The Knowledge Like the Object of Interaction in an Orthopaedic Surgery-Learning Environment
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    Chapter 12 Towards Qualitative Accreditation with Cognitive Agents
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    Chapter 13 Integrating Intelligent Agents, User Models, and Automatic Content Categorization in a Virtual Environment
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    Chapter 14 EASE: Evolutional Authoring Support Environment
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    Chapter 15 Selecting Theories in an Ontology-Based ITS Authoring Environment
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    Chapter 16 Opening the Door to Non-programmers: Authoring Intelligent Tutor Behavior by Demonstration
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    Chapter 17 Acquisition of the Domain Structure from Document Indexes Using Heuristic Reasoning
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    Chapter 18 Role-Based Specification of the Behaviour of an Agent for the Interactive Resolution of Mathematical Problems
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    Chapter 19 Lessons Learned from Authoring for Inquiry Learning: A Tale of Authoring Tool Evolution
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    Chapter 20 The Role of Domain Ontology in Knowledge Acquisition for ITSs
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    Chapter 21 Combining Heuristics and Formal Methods in a Tool for Supporting Simulation-Based Discovery Learning
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    Chapter 22 Toward Tutoring Help Seeking
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    Chapter 23 Why Are Algebra Word Problems Difficult? Using Tutorial Log Files and the Power Law of Learning to Select the Best Fitting Cognitive Model
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    Chapter 24 Towards Shared Understanding of Metacognitive Skill and Facilitating Its Development
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    Chapter 25 Analyzing Discourse Structure to Coordinate Educational Forums
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    Chapter 26 Intellectual Reputation to Find an Appropriate Person for a Role in Creation and Inheritance of Organizational Intellect
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    Chapter 27 Learners’ Roles and Predictable Educational Benefits in Collaborative Learning
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    Chapter 28 Redefining the Turn-Taking Notion in Mediated Communication of Virtual Learning Communities
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    Chapter 29 Harnessing P2P Power in the Classroom
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    Chapter 30 Analyzing On-Line Collaborative Dialogues: The OXEnTCHÊ–Chat
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    Chapter 31 A Tool for Supporting Progressive Refinement of Wizard-of-Oz Experiments in Natural Language
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    Chapter 32 Tactical Language Training System: An Interim Report
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    Chapter 33 Combining Competing Language Understanding Approaches in an Intelligent Tutoring System
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    Chapter 34 Evaluating Dialogue Schemata with the Wizard of Oz Computer-Assisted Algebra Tutor
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    Chapter 35 Spoken Versus Typed Human and Computer Dialogue Tutoring
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    Chapter 36 Linguistic Markers to Improve the Assessment of Students in Mathematics: An Exploratory Study
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    Chapter 37 Advantages of Spoken Language Interaction in Dialogue-Based Intelligent Tutoring Systems
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    Chapter 38 CycleTalk: Toward a Dialogue Agent That Guides Design with an Articulate Simulator
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    Chapter 39 DReSDeN: Towards a Trainable Tutorial Dialogue Manager to Support Negotiation Dialogues for Learning and Reflection
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    Chapter 40 Combining Computational Models of Short Essay Grading for Conceptual Physics Problems
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    Chapter 41 From Human to Automatic Summary Evaluation
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    Chapter 42 Evaluating the Effectiveness of a Tutorial Dialogue System for Self-Explanation
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    Chapter 43 Student Question-Asking Patterns in an Intelligent Algebra Tutor
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    Chapter 44 Web-Based Intelligent Multimedia Tutoring for High Stakes Achievement Tests
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    Chapter 45 Can Automated Questions Scaffold Children’s Reading Comprehension?
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    Chapter 46 Web-Based Evaluations Showing Differential Learning for Tutorial Strategies Employed by the Ms. Lindquist Tutor
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    Chapter 47 The Impact of Why/AutoTutor on Learning and Retention of Conceptual Physics
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    Chapter 48 ITS Evaluation in Classroom: The Case of Ambre-AWP
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    Chapter 49 Implicit Versus Explicit Learning of Strategies in a Non-procedural Cognitive Skill
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    Chapter 50 Detecting Student Misuse of Intelligent Tutoring Systems
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    Chapter 51 Applying Machine Learning Techniques to Rule Generation in Intelligent Tutoring Systems
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    Chapter 52 A Category-Based Self-Improving Planning Module
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    Chapter 53 AgentX: Using Reinforcement Learning to Improve the Effectiveness of Intelligent Tutoring Systems
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    Chapter 54 An Intelligent Tutoring System Based on Self-Organizing Maps – Design, Implementation and Evaluation
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    Chapter 55 Modeling the Development of Problem Solving Skills in Chemistry with a Web-Based Tutor
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    Chapter 56 Pedagogical Agent Design: The Impact of Agent Realism, Gender, Ethnicity, and Instructional Role
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    Chapter 57 Designing Empathic Agents: Adults Versus Kids
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    Chapter 58 RMT: A Dialog-Based Research Methods Tutor With or Without a Head
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    Chapter 59 Using Knowledge Tracing to Measure Student Reading Proficiencies
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    Chapter 60 The Massive User Modelling System (MUMS)
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    Chapter 61 An Open Learner Model for Children and Teachers: Inspecting Knowledge Level of Individuals and Peers
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    Chapter 62 Scaffolding Self-Explanation to Improve Learning in Exploratory Learning Environments.
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    Chapter 63 Metacognition in Interactive Learning Environments: The Reflection Assistant Model
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    Chapter 64 Predicting Learning Characteristics in a Multiple Intelligence Based Tutoring System
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    Chapter 65 Alternative Views on Knowledge: Presentation of Open Learner Models
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    Chapter 66 Modeling Students’ Reasoning About Qualitative Physics: Heuristics for Abductive Proof Search
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    Chapter 67 From Errors to Conceptions – An approach to Student Diagnosis
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    Chapter 68 Discovering Intelligent Agent : A Tool for Helping Students Searching a Library
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    Chapter 69 Developing Learning by Teaching Environments That Support Self-Regulated Learning
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    Chapter 70 Adaptive Interface Methodology for Intelligent Tutoring Systems
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    Chapter 71 Implementing Analogies in an Electronic Tutoring System
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    Chapter 72 Towards Adaptive Generation of Faded Examples
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    Chapter 73 A Multi-dimensional Taxonomy for Automating Hinting
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    Chapter 74 Inferring Unobservable Learning Variables from Students’ Help Seeking Behavior
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    Chapter 75 The Social Role of Technical Personnel in the Deployment of Intelligent Tutoring Systems
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    Chapter 76 Intelligent Tools for Cooperative Learning in the Internet
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    Chapter 77 A Plug-in Based Adaptive System: SAAW
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    Chapter 78 Helps and Hints for Learning with Web Based Learning Systems: The Role of Instructions
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    Chapter 79 Intelligent Learning Environment for Film Reading in Screening Mammography
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    Chapter 80 Reuse of Collaborative Knowledge in Discussion Forums
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    Chapter 81 A Module-Based Software Framework for E-learning over Internet Environment
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    Chapter 82 Improving Reuse and Flexibility in Multiagent Intelligent Tutoring System Development Based on the COMPOR Platform
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    Chapter 83 Towards an Authoring Methodology in Large-Scale E-learning Environments on the Web
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    Chapter 84 ProPAT: A Programming ITS Based on Pedagogical Patterns
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    Chapter 85 AMANDA: An ITS for Mediating Asynchronous Group Discussions
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    Chapter 86 An E-learning Environment in Cardiology Domain
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    Chapter 87 Mining Data and Providing Explanation to Improve Learning in Geosimulation
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    Chapter 88 A Web-Based Adaptive Educational System Where Adaptive Navigation Is Guided by Experience Reuse
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    Chapter 89 Improving Knowledge Representation, Tutoring, and Authoring in a Component-Based ILE
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    Chapter 90 A Novel Hybrid Intelligent Tutoring System and Its Use of Psychological Profiles and Learning Styles
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    Chapter 91 Using the Web-Based Cooperative Music Prototyping Environment CODES in Learning Situations
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    Chapter 92 A Multi-agent Approach to Providing Different Forms of Assessment in a Collaborative Learning Environment
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    Chapter 93 The Overlaying Roles of Cognitive and Information Theories in the Design of Information Access Systems
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    Chapter 94 A Personalized Information Retrieval Service for an Educational Environment
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    Chapter 95 Optimal Emotional Conditions for Learning with an Intelligent Tutoring System
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    Chapter 96 FlexiTrainer: A Visual Authoring Framework for Case-Based Intelligent Tutoring Systems
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    Chapter 97 Tutorial Dialog in an Equation Solving Intelligent Tutoring System
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    Chapter 98 A Metacognitive ACT-R Model of Students’ Learning Strategies in Intelligent Tutoring Systems
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    Chapter 99 Promoting Effective Help-Seeking Behavior Through Declarative Instruction
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    Chapter 100 Supporting Spatial Awareness in Training on a Telemanipulator in Space
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    Chapter 101 Validating DynMap as a Mechanism to Visualize the Student’s Evolution Through the Learning Process
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    Chapter 102 Qualitative Reasoning in Education of Deaf Students: Scientific Education and Acquisition of Portuguese as a Second Language
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    Chapter 103 A Qualitative Model of Daniell Cell for Chemical Education
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    Chapter 104 Student Representation Assisting Cognitive Analysis
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    Chapter 105 An Ontology-Based Planning Navigation in Problem-Solving Oriented Learning Processes
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    Chapter 106 A Formal and Computerized Modeling Method of Knowledge, User, and Strategy Models in PIModel-Tutor
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    Chapter 107 SmartChat – An Intelligent Environment for Collaborative Discussions
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    Chapter 108 Intelligent Learning Objects: An Agent Based Approach of Learning Objects
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    Chapter 109 Using Simulated Students for Machine Learning
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    Chapter 110 Towards an Analysis of How Shared Representations Are Manipulated to Mediate Online Synchronous Collaboration
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    Chapter 111 A Methodology for the Construction of Learning Companions
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    Chapter 112 Intelligent Learning Environment for Software Engineering Processes
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    Chapter 113 Opportunities for Model-Based Learning Systems in the Human Exploration of Space
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    Chapter 114 Toward Comprehensive Student Models: Modeling Meta-cognitive Skills and Affective States in ITS
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    Chapter 115 Having a Genuine Impact on Teaching and Learning – Today and Tomorrow
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    Chapter 116 Interactively Building a Knowledge Base for a Virtual Tutor
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    Chapter 117 Ontological Engineering and ITS Research
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    Chapter 118 Agents Serving Human Learning
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    Chapter 119 Panels
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    Chapter 120 Workshop on Modeling Human Teaching Tactics and Strategies
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    Chapter 121 Workshop on Analyzing Student-Tutor Interaction Logs to Improve Educational Outcomes
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    Chapter 122 Intelligent Tutoring Systems
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    Chapter 123 Workshop on Distance Learning Environments for Digital Graphic Representation
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    Chapter 124 Workshop on Applications of Semantic Web Technologies for E-learning
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    Chapter 125 Workshop on Social and Emotional Intelligence in Learning Environments
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    Chapter 126 Workshop on Dialog-Based Intelligent Tutoring Systems: State of the Art and New Research Directions
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    Chapter 127 Workshop on Designing Computational Models of Collaborative Learning Interaction
Attention for Chapter 48: ITS Evaluation in Classroom: The Case of Ambre-AWP
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Chapter title
ITS Evaluation in Classroom: The Case of Ambre-AWP
Chapter number 48
Book title
Intelligent Tutoring Systems
Published by
Springer, Berlin, Heidelberg, August 2004
DOI 10.1007/978-3-540-30139-4_48
Book ISBNs
978-3-54-022948-3, 978-3-54-030139-4
Authors

Sandra Nogry, Stéphanie Jean-Daubias, Nathalie Duclosson, Nogry, Sandra, Jean-Daubias, Stéphanie, Duclosson, Nathalie

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 39%
Professor > Associate Professor 3 13%
Student > Doctoral Student 2 9%
Lecturer 2 9%
Student > Bachelor 1 4%
Other 4 17%
Unknown 2 9%
Readers by discipline Count As %
Computer Science 14 61%
Social Sciences 3 13%
Arts and Humanities 1 4%
Psychology 1 4%
Medicine and Dentistry 1 4%
Other 0 0%
Unknown 3 13%