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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
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1 patent
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Title
Intelligent Tutoring Systems
Published by
Springer Science & Business Media, August 2004
DOI 10.1007/b100137
ISBNs
978-3-54-022948-3, 978-3-54-030139-4
Editors

Lester, James C., Vicari, Rosa Maria, Paraguaçu, Fábio

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 100%
Readers by discipline Count As %
Social Sciences 4 100%