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Intelligent Tutoring Systems

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Cover of 'Intelligent Tutoring Systems'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Rethinking Education in the Age of Technology
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    Chapter 2 Life-Long Learning, Learner Models and Augmented Cognition
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    Chapter 3 Intelligent Training Systems: Lessons Learned from Building Before It Is Time
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    Chapter 4 The Interaction Plateau: Answer-Based Tutoring < Step-Based Tutoring = Natural Tutoring
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    Chapter 5 Social Learning Environments: New Challenges for AI in Education
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    Chapter 6 Self Versus Teacher Judgments of Learner Emotions During a Tutoring Session with AutoTutor
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    Chapter 7 Towards Emotionally-Intelligent Pedagogical Agents
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    Chapter 8 Viewing Student Affect and Learning through Classroom Observation and Physical Sensors
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    Chapter 9 Comparing Learners' Affect While Using an Intelligent Tutoring System and a Simulation Problem Solving Game
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    Chapter 10 What Are You Feeling? Investigating Student Affective States During Expert Human Tutoring Sessions
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    Chapter 11 Responding to Student Uncertainty During Computer Tutoring: An Experimental Evaluation
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    Chapter 12 How Does an Intelligent Learning Environment with Novel Design Affect the Students’ Learning Results?
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    Chapter 13 Learning Linked Lists: Experiments with the iList System
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    Chapter 14 Re-evaluating LARGO in the Classroom: Are Diagrams Better Than Text for Teaching Argumentation Skills?
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    Chapter 15 Automatic Multi-criteria Assessment of Open-Ended Questions: A Case Study in School Algebra
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    Chapter 16 Why Tutored Problem Solving May be Better Than Example Study: Theoretical Implications from a Simulated-Student Study
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    Chapter 17 A Case Study Empirical Comparison of Three Methods to Evaluate Tutorial Behaviors
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    Chapter 18 Children’s Interactions with Inspectable and Negotiated Learner Models
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    Chapter 19 Using Similarity Metrics for Matching Lifelong Learners
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    Chapter 20 Developing a Computer-Supported Tutoring Interaction Component with Interaction Data Reuse
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    Chapter 21 Towards Collaborative Intelligent Tutors: Automated Recognition of Users’ Strategies
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    Chapter 22 Automatic Generation of Fine-Grained Representations of Learner Response Semantics
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    Chapter 23 Automatic Construction of a Bug Library for Object-Oriented Novice Java Programmer Errors
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    Chapter 24 Helping Teachers Build ITS with Domain Schema
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    Chapter 25 Evaluating an Authoring Tool for Model-Tracing Intelligent Tutoring Systems
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    Chapter 26 Open Community Authoring of Targeted Worked Example Problems
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    Chapter 27 Agent Shell for the Development of Tutoring Systems for Expert Problem Solving Knowledge
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    Chapter 28 Balancing Cognitive and Motivational Scaffolding in Tutorial Dialogue
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    Chapter 29 Assessing the Impact of Positive Feedback in Constraint-Based Tutors
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    Chapter 30 The Dynamics of Self-regulatory Processes within Self-and Externally Regulated Learning Episodes During Complex Science Learning with Hypermedia
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    Chapter 31 The Politeness Effect in an Intelligent Foreign Language Tutoring System
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    Chapter 32 Investigating the Relationship between Spatial Ability and Feedback Style in ITSs
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    Chapter 33 Individualizing Tutoring with Learning Style Based Feedback
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    Chapter 34 Use of Agent Prompts to Support Reflective Interaction in a Learning-by-Teaching Environment
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    Chapter 35 A Standard Method of Developing User Interfaces for a Generic ITS Framework
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    Chapter 36 Helping Teachers Handle the Flood of Data in Online Student Discussions
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    Chapter 37 What’s in a Cluster? Automatically Detecting Interesting Interactions in Student E-Discussions
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    Chapter 38 Scaffolding On-Line Discussions with Past Discussions: An Analysis and Pilot Study of PedaBot
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    Chapter 39 How Who Should Practice: Using Learning Decomposition to Evaluate the Efficacy of Different Types of Practice for Different Types of Students
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    Chapter 40 How Does Students’ Help-Seeking Behaviour Affect Learning?
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    Chapter 41 Toward Automatic Hint Generation for Logic Proof Tutoring Using Historical Student Data
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    Chapter 42 Does Help Help? Introducing the Bayesian Evaluation and Assessment Methodology
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    Chapter 43 Using Knowledge Discovery Techniques to Support Tutoring in an Ill-Defined Domain
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    Chapter 44 More Accurate Student Modeling through Contextual Estimation of Slip and Guess Probabilities in Bayesian Knowledge Tracing
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    Chapter 45 Interoperable Competencies Characterizing Learning Objects in Mathematics
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    Chapter 46 Comparing Classroom Problem-Solving with No Feedback to Web-Based Homework Assistance
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    Chapter 47 Harnessing Learner’s Collective Intelligence: A Web2.0 Approach to E-Learning
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    Chapter 48 Bridging the Gap between ITS and eLearning: Towards Learning Knowledge Objects
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    Chapter 49 Semantic Cohesion and Learning
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    Chapter 50 Dialogue Modes in Expert Tutoring
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    Chapter 51 Seeing the Face and Observing the Actions: The Effects of Nonverbal Cues on Mediated Tutoring Dialogue
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    Chapter 52 Affective Transitions in Narrative-Centered Learning Environments
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    Chapter 53 Word Sense Disambiguation for Vocabulary Learning
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    Chapter 54 Student Note-Taking in Narrative-Centered Learning Environments: Individual Differences and Learning Effects
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    Chapter 55 Assessing Aptitude for Learning with a Serious Game for Foreign Language and Culture
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    Chapter 56 Story-Based Learning: The Impact of Narrative on Learning Experiences and Outcomes
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    Chapter 57 An Architecture for Combining Semantic Web Techniques with Intelligent Tutoring Systems
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    Chapter 58 The Use of Ontologies to Structure and Support Interactions in LOR
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    Chapter 59 Leveraging the Social Semantic Web in Intelligent Tutoring Systems
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    Chapter 60 Structurization of Learning/Instructional Design Knowledge for Theory-Aware Authoring Systems
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    Chapter 61 Expanding the Plausible Solution Space for Robustness in an Intelligent Tutoring System
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    Chapter 62 Using Optimally Selected Drill Practice to Train Basic Facts
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    Chapter 63 Eliminating the Gap between the High and Low Students through Meta-cognitive Strategy Instruction
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    Chapter 64 Using Hidden Markov Models to Characterize Student Behaviors in Learning-by-Teaching Environments
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    Chapter 65 To Tutor the Tutor: Adaptive Domain Support for Peer Tutoring
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    Chapter 66 Shall We Explain? Augmenting Learning from Intelligent Tutoring Systems and Peer Collaboration
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    Chapter 67 Theory-Driven Group Formation through Ontologies
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    Chapter 68 Self-assessment in Vocabulary Tutoring
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    Chapter 69 Automatically Generating and Validating Reading-Check Questions
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    Chapter 70 Dynamic Browsing of Audiovisual Lecture Recordings Based on Automated Speech Recognition
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    Chapter 71 Agent-Based Framework for Affective Intelligent Tutoring Systems
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    Chapter 72 Measuring the Perceived Difficulty of a Lecture Using Automatic Facial Expression Recognition
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    Chapter 73 Minimal Feedback During Tutorial Dialogue
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    Chapter 74 Can Students Edit Their Learner Model Appropriately?
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    Chapter 75 When Is Assistance Helpful to Learning? Results in Combining Worked Examples and Intelligent Tutoring
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    Chapter 76 Enabling Reputation-Based Trust in Privacy-Enhanced Learning Systems
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    Chapter 77 Authoring Educational Games with Greenmind
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    Chapter 78 An Experimental Use of Learning Environment for Problem-Posing as Sentence-Integration in Arithmetical Word Problems
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    Chapter 79 Automatic Analyses of Cohesion and Coherence in Human Tutorial Dialogues During Hypermedia: A Comparison among Mental Model Jumpers
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    Chapter 80 Intelligent Tutoring Systems
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    Chapter 81 Agora UCS Ubiquitous Collaborative Space
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    Chapter 82 Adapte, a Tool for the Teacher to Personalize Activities
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    Chapter 83 Framework for a Competency-Driven, Multi-viewpoint, and Evolving Learner Model
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    Chapter 84 Use Chatbot CSIEC to Facilitate the Individual Learning in English Instruction: A Case Study
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    Chapter 85 Using an Adaptive Collaboration Script to Promote Conceptual Chemistry Learning
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    Chapter 86 Towards an Intelligent Emotional Detection in an E-Learning Environment
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    Chapter 87 How Do We Get the Pieces to Talk? An Architecture to Support Interoperability between Educational Tools
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    Chapter 88 Cognitive Load Estimation for Optimizing Learning within Intelligent Tutoring Systems
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    Chapter 89 Investigating Learner Trust in Open Learner Models Using a ’Wizard of Oz’ Approach
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    Chapter 90 Personalized Learning Path Delivery: Models and Example of Application
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    Chapter 91 Semi Automatic Generation of Didactic Resources from Existing Documents
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    Chapter 92 An Evaluation of Intelligent Reading Tutors
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    Chapter 93 An Intelligent Web-Based Learning System for Group Collaboration Using Contracts
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    Chapter 94 An Adaptive and Customizable Feedback System for Intelligent Interactive Learning Systems
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    Chapter 95 Detection of Learning Styles from Learner’s Browsing Behavior During E-Learning Activities
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    Chapter 96 Analyzing Learners’ Self-organization in Terms of Co-construction, Co-operation and Co-ordination
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    Chapter 97 Authoring Mobile Intelligent Tutoring Systems
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    Chapter 98 XTutor: An Intelligent Tutor System for Science and Math Based on Excel
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    Chapter 99 Tying Ontologies to Domain Contents for CSCL
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    Chapter 100 One Exercise – Various Tutorial Strategies
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    Chapter 101 Bi-directional Search for Bugs: A Tool for Accelerating Knowledge Acquisition for Equation-Based Tutoring Systems
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    Chapter 102 Design of a System for Automated Generation of Problem Fields
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    Chapter 103 Lessons Learned from Scaling Up a Web-Based Intelligent Tutoring System
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    Chapter 104 Tailoring of Feedback in Web-Based Learning: The Role of Response Certitude in the Assessment
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    Chapter 105 Trying to Reduce Bottom-Out Hinting: Will Telling Student How Many Hints They Have Left Help?
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    Chapter 106 Leveraging C-Rater’s Automated Scoring Capability for Providing Instructional Feedback for Short Constructed Responses
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    Chapter 107 An Authoring Tool That Facilitates the Rapid Development of Dialogue Agents for Intelligent Tutoring Systems
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    Chapter 108 Using an Emotional Intelligent Agent to Reduce Resistance to Change
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    Chapter 109 Story Generation to Accelerate Math Problem Authoring for Practice and Assessment
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    Chapter 110 Supporting the Guide on the SIDE
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    Chapter 111 Comparing Two IRT Models for Conjunctive Skills
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    Chapter 112 The Effect of Providing Error-Flagging Support During Testing
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    Chapter 113 Cognitive Tutoring System with "Consciousness"
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    Chapter 114 It’s Not Easy Being Green: Supporting Collaborative “Green Design” Learning
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    Chapter 115 Cognitive and Technical Artefacts for Supporting Reusing Learning Scenario Patterns
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    Chapter 116 Integration of a Complex Learning Object in a Web-Based Interactive Learning System
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    Chapter 117 Semantic Web Reasoning Tutoring Agent
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    Chapter 118 An Affective Behavior Model for Intelligent Tutors
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    Chapter 119 Decision Tree for Tracking Learner’s Emotional State Predicted from His Electrical Brain Activity
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    Chapter 120 Toward Supporting Collaborative Discussion in an Ill-Defined Domain
Attention for Chapter 56: Story-Based Learning: The Impact of Narrative on Learning Experiences and Outcomes
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Chapter title
Story-Based Learning: The Impact of Narrative on Learning Experiences and Outcomes
Chapter number 56
Book title
Intelligent Tutoring Systems
Published by
Springer, Berlin, Heidelberg, June 2008
DOI 10.1007/978-3-540-69132-7_56
Book ISBNs
978-3-54-069130-3, 978-3-54-069132-7
Authors

Scott W. McQuiggan, Jonathan P. Rowe, Sunyoung Lee, James C. Lester, McQuiggan, Scott W., Rowe, Jonathan P., Lee, Sunyoung, Lester, James C.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 4%
Netherlands 3 1%
Australia 3 1%
France 2 <1%
Switzerland 1 <1%
Malaysia 1 <1%
United Kingdom 1 <1%
Brazil 1 <1%
Estonia 1 <1%
Other 1 <1%
Unknown 187 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 25%
Student > Master 41 20%
Researcher 19 9%
Student > Doctoral Student 17 8%
Student > Bachelor 11 5%
Other 33 16%
Unknown 37 18%
Readers by discipline Count As %
Computer Science 50 24%
Social Sciences 45 21%
Psychology 26 12%
Arts and Humanities 9 4%
Economics, Econometrics and Finance 7 3%
Other 33 16%
Unknown 40 19%