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Artificial Intelligence in Education

Overview of attention for book
Cover of 'Artificial Intelligence in Education'

Table of Contents

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    Book Overview
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    Chapter 1 Model-Based Characterization of Text Discourse Content to Evaluate Online Group Collaboration
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    Chapter 2 Identifying Editor Roles in Argumentative Writing from Student Revision Histories
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    Chapter 3 Degree Curriculum Contraction: A Vector Space Approach
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    Chapter 4 L2 Learners’ Preferences of Dialogue Agents: A Key to Achieve Adaptive Motivational Support?
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    Chapter 5 Eye Gaze Sequence Analysis to Model Memory in E-education
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    Chapter 6 What Inquiry with Virtual Labs Can Learn from Productive Failure: A Theory-Driven Study of Students’ Reflections
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    Chapter 7 The Role of Achievement Goal Orientation on Metacognitive Process Use in Game-Based Learning
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    Chapter 8 Autoencoders for Educational Assessment
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    Chapter 9 The Value of Multimodal Data in Classification of Social and Emotional Aspects of Tutoring
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    Chapter 10 Conscientiousness, Honesty-Humility, and Analogical/Creative Reasoning: Implications for Instructional Designs in Intelligent Tutoring Systems
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    Chapter 11 Learners’ Gaze Behaviors and Metacognitive Judgments with an Agent-Based Multimedia Environment
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    Chapter 12 Online Assessment of Belief Biases and Their Impact on the Acceptance of Fallacious Reasoning
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    Chapter 13 Early Dropout Prediction for Programming Courses Supported by Online Judges
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    Chapter 14 Developing a Deep Learning-Based Affect Recognition System for Young Children
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    Chapter 15 Using Exploratory Data Analysis to Support Implementation and Improvement of Education Technology Product
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    Chapter 16 Bayesian Diagnosis Tracing: Application of Procedural Misconceptions in Knowledge Tracing
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    Chapter 17 Analysis of Gamification Elements. A Case Study in a Computer Science Course
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    Chapter 18 Towards Adaptive Worked-Out Examples in an Intelligent Tutoring System
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    Chapter 19 Orchestrating Class Discussion with Collaborative Kit-Build Concept Mapping
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    Chapter 20 Automating the Categorization of Learning Activities, to Help Improve Learning Design
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    Chapter 21 Identifying the Structure of Students’ Explanatory Essays
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    Chapter 22 A Systematic Approach for Analyzing Students’ Computational Modeling Processes in C2STEM
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    Chapter 23 Intelligent Tutoring System for Negotiation Skills Training
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    Chapter 24 Robot Lecture for Enhancing Non-verbal Behavior in Lecture
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    Chapter 25 Design Prompts for Virtual Reality in Education
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    Chapter 26 Assessing and Improving Learning Outcomes for Power Management Experiments Using Cognitive Graph
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    Chapter 27 Does Choosing the Concept on Which to Solve Each Practice Problem in an Adaptive Tutor Affect Learning?
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    Chapter 28 Measuring Content Complexity of Technical Texts: Machine Learning Experiments
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    Chapter 29 Should Students Use Digital Scratchpads? Impact of Using a Digital Assistive Tool on Arithmetic Problem-Solving
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    Chapter 30 What Does Time Tell? Tracing the Forgetting Curve Using Deep Knowledge Tracing
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    Chapter 31 Evaluating the Transfer of Scaffolded Inquiry: What Sticks and Does It Last?
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    Chapter 32 Automatic Short Answer Grading via Multiway Attention Networks
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    Chapter 33 Automatic Classification of Error Types in Solutions to Programming Assignments at Online Learning Platform
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    Chapter 34 Using Recurrent Neural Networks to Build a Stopping Algorithm for an Adaptive Assessment
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    Chapter 35 Participatory Design to Lower the Threshold for Intelligent Support Authoring
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    Chapter 36 Finding Relevant e-Learning Materials
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    Chapter 37 Predicting Dialogue Breakdown in Conversational Pedagogical Agents with Multimodal LSTMs
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    Chapter 38 Pique: Recommending a Personalized Sequence of Research Papers to Engage Student Curiosity
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    Chapter 39 Group Formation for Collaborative Learning
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    Chapter 40 AI Meets Austen: Towards Human-Robot Discussions of Literary Metaphor
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    Chapter 41 Discovery of Study Patterns that Impacts Students’ Discussion Performance in Forum Assignments
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    Chapter 42 Automatic Construction of a Phonics Curriculum for Reading Education Using the Transformer Neural Network
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    Chapter 43 An Annotation Protocol for Collecting User-Generated Counter-Arguments Using Crowdsourcing
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    Chapter 44 Towards an Automatic Q&A Generation for Online Courses - A Pipeline Based Approach
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    Chapter 45 Semantic Matching of Open Texts to Pre-scripted Answers in Dialogue-Based Learning
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    Chapter 46 Developing Game-Based Models of Cooperation, Persistence and Problem Solving from Collaborative Gameplay
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    Chapter 47 An Intelligent-Agent Facilitated Scaffold for Fostering Reflection in a Team-Based Project Course
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    Chapter 48 I Wanna Talk Like You: Speaker Adaptation to Dialogue Style in L2 Practice Conversation
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    Chapter 49 Understanding Students’ Model Building Strategies Through Discourse Analysis
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    Chapter 50 Exploring Teachable Humans and Teachable Agents: Human Strategies Versus Agent Policies and the Basis of Expertise
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    Chapter 51 Learning from Videos Showing a Dialog Fosters More Positive Affect Than Learning from a Monolog
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    Chapter 52 Automated Feedback on the Structure of Hypothesis Tests
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    Chapter 53 Informing the Utility of Learning Interventions: Investigating Factors Related to Students’ Academic Achievement in Classroom and Online Courses
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    Chapter 54 Auto-Sending Messages in an Intelligent Orchestration System: A Pilot Study
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    Chapter 55 Adaptive Learning Material Recommendation in Online Language Education
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    Chapter 56 Deep Knowledge Tracing with Side Information
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    Chapter 57 Analysis of Holistic Interactions Between Lecturers and Students in Lectures
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    Chapter 58 Take the Initiative: Mixed Initiative Dialogue Policies for Pedagogical Agents in Game-Based Learning Environments
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    Chapter 59 Investigating on Discussion for Sharing Understanding by Using Reciprocal Kit-Build Concept Map
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    Chapter 60 Detection of Collaboration: Relationship Between Log and Speech-Based Classification
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    Chapter 61 An Intelligent Tutoring System and Teacher Dashboard to Support Mathematizing During Science Inquiry
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    Chapter 62 Towards Adaptive Hour of Code
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    Chapter 63 Leaving No One Behind: Educating Those Most Impacted by Artificial Intelligence
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    Chapter 64 Modeling Students’ Behavior Using Sequential Patterns to Predict Their Performance
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    Chapter 65 Personalization in OELEs: Developing a Data-Driven Framework to Model and Scaffold SRL Processes
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    Chapter 66 Analyzing Engagement in an On-Line Session
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    Chapter 67 A Machine Learning Grading System Using Chatbots
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    Chapter 68 Evidence-Based Recommendation for Content Improvement Using Reinforcement Learning
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    Chapter 69 A Virtual Counselor for Genetic Risk Communication
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    Chapter 70 A Multimodal Alerting System for Online Class Quality Assurance
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    Chapter 71 Leveraging Cognitive Science and Artificial Intelligence to Save Lives
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    Chapter 72 A Task-Oriented Dialogue System for Moral Education
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    Chapter 73 Leveraging Student Self-reports to Predict Learning Outcomes
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    Chapter 74 Toward a Scalable Learning Analytics Solution
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    Chapter 75 Motivating Students to Ask More Questions
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    Chapter 76 Towards Helping Teachers Select Optimal Content for Students
Overall attention for this book and its chapters
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Title
Artificial Intelligence in Education
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-23207-8
ISBNs
978-3-03-023206-1, 978-3-03-023207-8
Editors

Seiji Isotani, Eva Millán, Amy Ogan, Peter Hastings, Bruce McLaren, Rose Luckin

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 19%
Student > Bachelor 4 11%
Student > Postgraduate 4 11%
Student > Master 3 8%
Researcher 3 8%
Other 1 3%
Unknown 15 41%
Readers by discipline Count As %
Computer Science 12 32%
Social Sciences 4 11%
Linguistics 1 3%
Agricultural and Biological Sciences 1 3%
Economics, Econometrics and Finance 1 3%
Other 3 8%
Unknown 15 41%