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Artificial Intelligence in Education

Overview of attention for book
Artificial Intelligence in Education
Springer Berlin Heidelberg

Table of Contents

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    Book Overview
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    Chapter 1 Metacognitively Guided Study in the Region of Proximal Learning
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    Chapter 2 Multiple Mechanisms for Deep Learning: Overcoming Diminishing Returns in Instructional Systems
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    Chapter 3 Cognitive Load Theory and E-Learning
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    Chapter 4 Social Communication between Virtual Characters and Children with Autism
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    Chapter 5 A Comparison of the Effects of Nine Activities within a Self-directed Learning Environment on Skill-Grained Learning
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    Chapter 6 Towards Predicting Future Transfer of Learning
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    Chapter 7 Modeling Engagement Dynamics in Spelling Learning
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    Chapter 8 Assessment of Learners’ Attention While Overcoming Errors and Obstacles: An Empirical Study
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    Chapter 9 Lattice-Based Approach to Building Templates for Natural Language Understanding in Intelligent Tutoring Systems
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    Chapter 10 Motivational Processes
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    Chapter 11 Using Tutors to Improve Educational Games
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    Chapter 12 A Cognitive Tutoring Agent with Episodic and Causal Learning Capabilities
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    Chapter 13 When Does Disengagement Correlate with Learning in Spoken Dialog Computer Tutoring?
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    Chapter 14 Peering Inside Peer Review with Bayesian Models
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    Chapter 15 Modeling Confusion: Facial Expression, Task, and Discourse in Task-Oriented Tutorial Dialogue
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    Chapter 16 Extending a Teachable Agent with a Social Conversation Module – Effects on Student Experiences and Learning
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    Chapter 17 Text Categorization for Assessing Multiple Documents Integration, or John Henry Visits a Data Mine
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    Chapter 18 Learning by Problem-Posing for Reverse-Thinking Problems
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    Chapter 19 Affect Detection from Multichannel Physiology during Learning Sessions with AutoTutor
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    Chapter 20 Short and Long Term Benefits of Enjoyment and Learning within a Serious Game
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    Chapter 21 Error-Flagging Support and Higher Test Scores
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    Chapter 22 Intelligent Tutoring Goes to the Museum in the Big City: A Pedagogical Agent for Informal Science Education
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    Chapter 23 Modeling Narrative-Centered Tutorial Decision Making in Guided Discovery Learning
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    Chapter 24 Inducing and Tracking Confusion with Contradictions during Critical Thinking and Scientific Reasoning
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    Chapter 25 Students’ Understanding of Their Student Model
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    Chapter 26 Workflow-Based Assessment of Student Online Activities with Topic and Dialogue Role Classification
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    Chapter 27 Modelling and Identifying Collaborative Situations in a Collocated Multi-display Groupware Setting
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    Chapter 28 Adapted Feedback Supported by Interactions of Blended-Learning Actors: A Proposal
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    Chapter 29 Learning by Teaching SimStudent – An Initial Classroom Baseline Study Comparing with Cognitive Tutor
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    Chapter 30 When Is It Best to Learn with All Worked Examples?
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    Chapter 31 Toward Exploiting EEG Input in a Reading Tutor
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    Chapter 32 Persistent Effects of Social Instructional Dialog in a Virtual Learning Environment
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    Chapter 33 A Teachable-Agent Arithmetic Game’s Effects on Mathematics Understanding, Attitude and Self-efficacy
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    Chapter 34 Using Contextual Factors Analysis to Explain Transfer of Least Common Multiple Skills
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    Chapter 35 Scenario-Based Training: Director’s Cut
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    Chapter 36 Classroom Video Assessment and Retrieval via Multiple Instance Learning
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    Chapter 37 Faster Teaching by POMDP Planning
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    Chapter 38 Metacognitive Practice Makes Perfect: Improving Students’ Self-Assessment Skills with an Intelligent Tutoring System
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    Chapter 39 Self-assessment of Motivation: Explicit and Implicit Indicators in L2 Vocabulary Learning
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    Chapter 40 Detecting Carelessness through Contextual Estimation of Slip Probabilities among Students Using an Intelligent Tutor for Mathematics
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    Chapter 41 A “Laboratory of Knowledge-Making” for Personal Inquiry Learning
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    Chapter 42 Early Prediction of Cognitive Tool Use in Narrative-Centered Learning Environments
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    Chapter 43 Feedback during Web-Based Homework: The Role of Hints
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    Chapter 44 Transferring Teaching to Testing – An Unexplored Aspect of Teachable Agents
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    Chapter 45 Experimental Evaluation of Automatic Hint Generation for a Logic Tutor
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    Chapter 46 Human-Machine Student Model Discovery and Improvement Using DataShop
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    Chapter 47 Talk Like an Electrician: Student Dialogue Mimicking Behavior in an Intelligent Tutoring System
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    Chapter 48 Dynamic Guidance for Task-Based Exploratory Learning
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    Chapter 49 Clustering Students to Generate an Ensemble to Improve Standard Test Score Predictions
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    Chapter 50 Using Automated Dialog Analysis to Assess Peer Tutoring and Trigger Effective Support
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    Chapter 51 Evaluating a General Model of Adaptive Tutorial Dialogues
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    Chapter 52 A Reflective Tutoring Framework Using Question Prompts for Scaffolding of Reflection
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    Chapter 53 A Simple Method of Representing Reusable Strategic Knowledge for MT Tutoring
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    Chapter 54 COMET: Context Ontology for Mobile Education Technology
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    Chapter 55 Scaffolding to Support Learning of Ecology in Simulation Environments
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    Chapter 56 Context-Dependent Help for the DynaLearn Modelling and Simulation Workbench
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    Chapter 57 Evaluation of WebxPST: A Browser-Based Authoring Tool for Problem-Specific Tutors
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    Chapter 58 Gesture-Based Affect Modeling for Intelligent Tutoring Systems
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    Chapter 59 Turn on the TV to turn off the TV: An Application of Adaptive Learning Television to Discuss the Television
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    Chapter 60 Scaffolding Metacognitive Processes in the Ecolab: Help-Seeking and Achievement Goal Orientation
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    Chapter 61 Learning with ALEKS: The Impact of Students’ Attendance in a Mathematics After-School Program
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    Chapter 62 Predicting Human Scores of Essay Quality Using Computational Indices of Linguistic and Textual Features
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    Chapter 63 ProTutor: Historic Open Learner Models for Pronunciation Tutoring
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    Chapter 64 Does Self-Efficacy Matter When Generating Feedback?
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    Chapter 65 Physiological Evaluation of Attention Getting Strategies during Serious Game Play
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    Chapter 66 Does Topic Matter? Topic Influences on Linguistic and Rubric-Based Evaluation of Writing
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    Chapter 67 Thinking with Your Hands: Interactive Graphical Representations in a Tutor for Fractions Learning
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    Chapter 68 Classification Techniques for Assessing Student Collaboration in Shared Wiki Spaces
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    Chapter 69 A Common Model of Didactic and Collaborative Learning for Theory-Aware Authoring Support
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    Chapter 70 Carelessness and Goal Orientation in a Science Microworld
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    Chapter 71 Kit-Build Concept Map for Automatic Diagnosis
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    Chapter 72 The Effects of Domain and Collaboration Feedback on Learning in a Collaborative Intelligent Tutoring System
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    Chapter 73 Multimodal Affect Detection from Physiological and Facial Features during ITS Interaction
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    Chapter 74 Students’ Enjoyment of a Game-Based Tutoring System
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    Chapter 75 Optional Finer Granularity in an Open Learner Model
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    Chapter 76 Contextualized Reflective Support in Designing Instruction Based on Both Theory and Practice
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    Chapter 77 Problem-Solution Process by Means of a Hierarchical Metacognitive Model
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    Chapter 78 Modeling Mentoring Dialogue within a Teacher Social Networking Site
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    Chapter 79 Sentiment-Oriented Summarisation of Peer Reviews
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    Chapter 80 Design Dimensions of Intelligent Text Entry Tutors
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    Chapter 81 SMART: Speech-enabled Mobile Assisted Reading Technology for Word Comprehension
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    Chapter 82 Enhancing the Error Diagnosis Capability for Constraint-Based Tutoring Systems
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    Chapter 83 Question Taxonomy and Implications for Automatic Question Generation
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    Chapter 84 Agent-Mediated Immersion in Virtual World: The Implications for Science Learning
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    Chapter 85 Virtual Manipulatives in a Computer-Based Learning Environment: How Experimental Data Informs the Design of Future Systems
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    Chapter 86 Typed versus Spoken Conversations in a Multi-party Epistemic Game
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    Chapter 87 Statistical Relational Learning in Student Modeling for Intelligent Tutoring Systems
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    Chapter 88 Use of the DynaLearn Learning Environment by Naïve Student Modelers: Implications for Automated Support
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    Chapter 89 Learning on Semantic Social Networks: A Distributed Description Logic-Based Approach
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    Chapter 90 Generating Task-Specific Next-Step Hints Using Domain-Independent Structures
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    Chapter 91 Causal Modeling of User Data from a Math Learning Environment with Game-Like Elements
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    Chapter 92 Facilitating Communication with Open Learner Models: A Semiotic Engineering Perspective
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    Chapter 93 When Off-Task is On-Task: The Affective Role of Off-Task Behavior in Narrative-Centered Learning Environments
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    Chapter 94 Evaluating the Use of Qualitative Reasoning Models in Scientific Education of Deaf Students
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    Chapter 95 TORMES Methodology to Elicit Educational Oriented Recommendations
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    Chapter 96 Will Structuring the Collaboration of Students Improve Their Argumentation?
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    Chapter 97 Investigating the Relationship between Dialogue Responsiveness and Learning in a Teachable Agent Environment
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    Chapter 98 Using Graphical Models to Classify Dialogue Transition in Online Q&A Discussions
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    Chapter 99 An Integrated Framework as a Foundation to Develop Meta-learning Support Systems
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    Chapter 100 Managing the Educational Dataset Lifecycle with DataShop
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    Chapter 101 Eliciting Intelligent Novice Behaviors with Grounded Feedback in a Fraction Addition Tutor
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    Chapter 102 Competence-Based Knowledge Space Theory as a Framework for Intelligent Metacognitive Scaffolding
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    Chapter 103 Emotion Regulation during Learning
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    Chapter 104 Towards a Physical and Personal Math Coin Tutoring System
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    Chapter 105 Does Supporting Multiple Student Strategies in Intelligent Tutoring Systems Lead to Better Learning?
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    Chapter 106 Observations of Collaboration in Cognitive Tutor Use in Latin America
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    Chapter 107 Cohesion / Knowledge Interactions in Post-tutoring Reflective Text
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    Chapter 108 Ontology-Supported Scaffolding of Concept Maps
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    Chapter 109 Character Roles and Interaction in the DynaLearn Intelligent Learning Environment
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    Chapter 110 Effects of Adaptive Prompted Self-explanation on Robust Learning of Second Language Grammar
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    Chapter 111 Corpus-Based Performance Analysis for Automatically Grading Use of Language in Essays
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    Chapter 112 Evaluating the Effects of a New Qualitative Simulation Software (DynaLearn) on Learning Behavior, Factual and Causal Understanding
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    Chapter 113 Encouraging Students to Study More: Adapting Feedback to Personality and Affective State
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    Chapter 114 Motivational and Metacognitive Feedback: Linking the Past to the Present
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    Chapter 115 Defining Solution Boundaries for EDM Vis
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    Chapter 116 Automatic Generation of Deductive Logic Proof Problems
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    Chapter 117 The MetaHistoReasoning Tool: Fostering Domain-Specific Metacognitive Processes While Learning through Historical Inquiry
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    Chapter 118 Automatic Identification of Affective States Using Student Log Data in ITS
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    Chapter 119 Training Emotion Regulation Strategies During Computerized Learning: A Method for Improving Learner Self-Regulation
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    Chapter 120 Interactive Events Summary
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    Chapter 121 Knowledgeable Feedback via a Cast of Virtual Characters with Different Competences
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    Chapter 122 Adaptive Intelligent Tutorial Dialogue in the BEETLE II System
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    Chapter 123 Authoring Step-Based ITS with ASTUS: An Interactive Event
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    Chapter 124 Learning by Teaching SimStudent – Interactive Event
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    Chapter 125 Monkey’s Revenge: Coordinate Geometry Learning Environment with Game-Like Elements
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    Chapter 126 Knowledge Construction with Causal Concept Maps in a Teachable Agent Environment
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    Chapter 127 An Educational Math Game with a Teachable Agent and a Social Chat
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    Chapter 128 Inquire for iPad: A Biology Textbook That Answers Questions
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    Chapter 129 DataShop: A Data Repository and Analysis Service for the Learning Science Community (Interactive Event)
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    Chapter 130 Annie and FixIt: Showcasing Dynamic Guidance for Task-Based Exploratory Learning
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    Chapter 131 Facilitating Adaptive Tutorial Dialogues in EER-Tutor
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    Chapter 132 First Workshop on Artificial Intelligence in Education to Support the Social Inclusion of Communities (AIEDSIC)
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    Chapter 133 International Workshop on Learning by Modelling in Science Education
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    Chapter 134 International workshop on Authoring Simulation and Game-Based Intelligent Tutoring
Attention for Chapter 85: Virtual Manipulatives in a Computer-Based Learning Environment: How Experimental Data Informs the Design of Future Systems
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Chapter title
Virtual Manipulatives in a Computer-Based Learning Environment: How Experimental Data Informs the Design of Future Systems
Chapter number 85
Book title
Artificial Intelligence in Education
Published by
Springer, Berlin, Heidelberg, June 2011
DOI 10.1007/978-3-642-21869-9_85
Book ISBNs
978-3-64-221868-2, 978-3-64-221869-9
Authors

Maria Mendiburo, Gautam Biswas

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 7%
Brazil 1 7%
Unknown 12 86%

Demographic breakdown

Readers by professional status Count As %
Professor 2 14%
Student > Ph. D. Student 2 14%
Professor > Associate Professor 2 14%
Researcher 2 14%
Student > Master 1 7%
Other 0 0%
Unknown 5 36%
Readers by discipline Count As %
Engineering 2 14%
Computer Science 2 14%
Social Sciences 2 14%
Agricultural and Biological Sciences 1 7%
Psychology 1 7%
Other 0 0%
Unknown 6 43%