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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 Programming Intelligent Embodied Pedagogical Agents to Teach the Beginnings of Industrial Revolution
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    Chapter 2 Adaptive Clustering of Codes for Assessment in Introductory Programming Courses
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    Chapter 3 Recommendation in Collaborative E-Learning by Using Linked Open Data and Ant Colony Optimization
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    Chapter 4 Evaluating Adaptive Pedagogical Agents’ Prompting Strategies Effect on Students’ Emotions
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    Chapter 5 Investigating the Role of Goal Orientation: Metacognitive and Cognitive Strategy Use and Learning with Intelligent Tutoring Systems
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    Chapter 6 Game Scenes Evaluation and Player’s Dominant Emotion Prediction
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    Chapter 7 Disrupting the Rote Learning Loop: CS Majors Iterating Over Learning Modules with an Adaptive Educational Hypermedia
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    Chapter 8 Gaze Feedback and Pedagogical Suggestions in Collaborative Learning
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    Chapter 9 Motivational Assessment Tool (MAT): Enabling Personalized Learning to Enhance Motivation
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    Chapter 10 The Impact of Multiple Real-Time Scaffolding Experiences on Science Inquiry Practices
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    Chapter 11 The Allocation of Time Matters to Students’ Performance in Clinical Reasoning
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    Chapter 12 Empirical Investigation of Cognitive Load Theory in Problem Solving Domain
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    Chapter 13 Data-Driven Learner Profiling Based on Clustering Student Behaviors: Learning Consistency, Pace and Effort
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    Chapter 14 Identifying How Metacognitive Judgments Influence Student Performance During Learning with MetaTutorIVH
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    Chapter 15 Predicting Learners’ Emotions in Mobile MOOC Learning via a Multimodal Intelligent Tutor
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    Chapter 16 Toward Tutoring Systems Inspired by Applied Behavioral Analysis
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    Chapter 17 The Role of Negative Emotions and Emotion Regulation on Self-Regulated Learning with MetaTutor
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    Chapter 18 Analysis of Permanence Time in Emotional States: A Case Study Using Educational Software
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    Chapter 19 Scoring Summaries Using Recurrent Neural Networks
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    Chapter 20 Changes in Emotion and Their Relationship with Learning Gains in the Context of MetaTutor
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    Chapter 21 A Heuristic Approach for New-Item Cold Start Problem in Recommendation of Micro Open Education Resources
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    Chapter 22 How Do Different Levels of AU4 Impact Metacognitive Monitoring During Learning with Intelligent Tutoring Systems?
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    Chapter 23 How Are Students’ Emotions Associated with the Accuracy of Their Note Taking and Summarizing During Learning with ITSs?
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    Chapter 24 Adaptive Feedback Based on Student Emotion in a System for Programming Practice
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    Chapter 25 Learning by Explaining to a Digital Doppelganger
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    Chapter 26 Impact of Tutor Errors on Student Engagement in a Dialog Based Intelligent Tutoring System
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    Chapter 27 Enhancing the Clustering of Student Performance Using the Variation in Confidence
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    Chapter 28 Intelligent Virtual Reality Tutoring System Supporting Open Educational Resource Access
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    Chapter 29 Emotional State and Behavior Analysis in a Virtual Reality Environment: A Medical Application
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    Chapter 30 Deep Learning in Automated Essay Scoring
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    Chapter 31 A Hybrid Architecture for Non-technical Skills Diagnosis
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    Chapter 32 A Novel Learning Early-Warning Model Based on Random Forest Algorithm
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    Chapter 33 Improving Inference of Learning Related Emotion by Combining Cognitive and Physical Information
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    Chapter 34 Module Advisor: Guiding Students with Recommendations
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    Chapter 35 TUMA: Towards an Intelligent Tutoring System for Manual-Procedural Activities
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    Chapter 36 SAT Reading Analysis Using Eye-Gaze Tracking Technology and Machine Learning
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    Chapter 37 Determining What the Student Understands - Assessment in an Unscaffolded Environment
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    Chapter 38 Curriculum Pacing: A New Approach to Discover Instructional Practices in Classrooms
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    Chapter 39 Towards Embedding a Tutoring Companion in the Eclipse Integrated Development Environment
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    Chapter 40 Semantic Collaboration Trajectories in Communities of Practice
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    Chapter 41 Predictors and Outcomes of Gaming in an Intelligent Tutoring System
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    Chapter 42 Classifying Interaction Behaviors of Students and Conversational Agents Through Dialog Analysis
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    Chapter 43 Extraction of Relevant Resources and Questions from DBpedia to Automatically Generate Quizzes on Specific Domains
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    Chapter 44 A Planning-Based Approach to Generating Tutorial Dialog for Teaching Surgical Decision Making
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    Chapter 45 Supporting Multiple Learning Experiences on a Childhood Vocabulary Tutoring Platform
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    Chapter 46 Exploring Students’ Behaviors in Editing Learning Environment
Overall attention for this book and its chapters
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Mentioned by

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15 X users
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1 Wikipedia page

Citations

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4 Dimensions

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Title
Intelligent Tutoring Systems
Published by
Springer International Publishing, January 2018
DOI 10.1007/978-3-319-91464-0
ISBNs
978-3-31-991463-3, 978-3-31-991464-0
Editors

Roger Nkambou, Roger Azevedo, Julita Vassileva

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 2 13%
Lecturer 2 13%
Student > Ph. D. Student 2 13%
Student > Master 2 13%
Student > Doctoral Student 1 6%
Other 1 6%
Unknown 6 38%
Readers by discipline Count As %
Computer Science 3 19%
Social Sciences 3 19%
Arts and Humanities 1 6%
Neuroscience 1 6%
Unknown 8 50%