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Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky

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Cover of 'Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky'

Table of Contents

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    Book Overview
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    Chapter 1 Four Interactions Between AI and Education: Broadening Our Perspective on What AI Can Offer Education
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    Chapter 2 Computational Models of Learning: Deepening Care and Carefulness in AI in Education
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    Chapter 3 Towards the Future of AI-Augmented Human Tutoring in Math Learning
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    Chapter 4 Empowering Education with LLMs - The Next-Gen Interface and Content Generation
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    Chapter 5 Conducting Rapid Experimentation with an Open-Source Adaptive Tutoring System
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    Chapter 6 AI Education for K-12: A Survey
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    Chapter 7 Tutorial: Educational Recommender Systems
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    Chapter 8 Equity, Diversity, and Inclusion in Educational Technology Research and Development
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    Chapter 9 Artificial Intelligence and Educational Policy: Bridging Research and Practice
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    Chapter 10 Automated Assessment and Guidance of Project Work
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    Chapter 11 How to Open Science: Promoting Principles and Reproducibility Practices Within the Artificial Intelligence in Education Community
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    Chapter 12 AI and Education. A View Through the Lens of Human Rights, Democracy and the Rule of Law. Legal and Organizational Requirements
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    Chapter 13 AI in Education. Coming of Age? The Community Voice
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    Chapter 14 Designing, Building and Evaluating Intelligent Psychomotor AIED Systems (IPAIEDS@AIED2023)
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    Chapter 15 Intelligent Textbooks: The Fifth International Workshop
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    Chapter 16 AI to Support Guided Experiential Learning
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    Chapter 17 An Automated Approach to Assist Teachers in Recommending Groups of Students Associated with Collaborative Learning Techniques Using Learning Paths in Virtual Learning Environments
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    Chapter 18 Structures in Online Discussion Forums: Promoting Inclusion or Exclusion?
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    Chapter 19 Assessment in Conversational Intelligent Tutoring Systems: Are Contextual Embeddings Really Better?
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    Chapter 20 A Recommendation System for Nurturing Students’ Sense of Belonging
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    Chapter 21 Desirable Difficulties? The Effects of Spaced and Interleaved Practice in an Educational Game
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    Chapter 22 Evaluating a Conversational Agent for Second Language Learning Aligned with the School Curriculum
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    Chapter 23 EngageMe: Assessing Student Engagement in Online Learning Environment Using Neuropsychological Tests
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    Chapter 24 Exploring the Effects of “AI-Generated” Discussion Summaries on Learners’ Engagement in Online Discussions
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    Chapter 25 Building Educational Technology Quickly and Robustly with an Interactively Teachable AI
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    Chapter 26 Investigating the Impact of the Mindset of the Learners on Their Behaviour in a Computer-Based Learning Environment
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    Chapter 27 Leave No One Behind - A Massive Online Learning Platform Free for Everyone
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    Chapter 28 Innovative Software to Efficiently Learn English Through Extensive Reading and Personalized Vocabulary Acquisition
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    Chapter 29 A Student-Teacher Multimodal Interaction Analysis System for Classroom Observation
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    Chapter 30 Rewriting Math Word Problems to Improve Learning Outcomes for Emerging Readers: A Randomized Field Trial in Carnegie Learning’s MATHia
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    Chapter 31 Automated Essay Scoring Incorporating Multi-level Semantic Features
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    Chapter 32 Promising Long Term Effects of ASSISTments Online Math Homework Support
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    Chapter 33 Decomposed Prompting to Answer Questions on a Course Discussion Board
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    Chapter 34 Consistency of Inquiry Strategies Across Subsequent Activities in Different Domains
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    Chapter 35 Improving the Item Selection Process with Reinforcement Learning in Computerized Adaptive Testing
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    Chapter 36 The Role of Social Presence in MOOC Students’ Behavioral Intentions and Sentiments Toward the Usage of a Learning Assistant Chatbot: A Diversity, Equity, and Inclusion Perspective Examination
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    Chapter 37 Audio Classifier for Endangered Language Analysis and Education
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    Chapter 38 Quantifying Re-engagement in Minecraft
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    Chapter 39 Teamwork Dimensions Classification Using BERT
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    Chapter 40 Data Augmentation with GAN to Improve the Prediction of At-Risk Students in a Virtual Learning Environment
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    Chapter 41 Prediction of Students’ Self-confidence Using Multimodal Features in an Experiential Nurse Training Environment
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    Chapter 42 Learning from Auxiliary Sources in Argumentative Revision Classification
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    Chapter 43 Exploring the Effect of Autoencoder Based Feature Learning for a Deep Reinforcement Learning Policy for Providing Proactive Help
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    Chapter 44 Who and How: Using Sentence-Level NLP to Evaluate Idea Completeness
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    Chapter 45 Comparing Different Approaches to Generating Mathematics Explanations Using Large Language Models
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    Chapter 46 Analyzing Response Times and Answer Feedback Tags in an Adaptive Assessment
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    Chapter 47 Enhancing the Automatic Identification of Common Math Misconceptions Using Natural Language Processing
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    Chapter 48 User Adaptive Language Learning Chatbots with a Curriculum
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    Chapter 49 Learning About Circular Motion of Celestial Bodies with Interactive Qualitative Representations
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    Chapter 50 GPTutor: A ChatGPT-Powered Programming Tool for Code Explanation
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    Chapter 51 The Good and Bad of Stereotype Threats: Understanding Its Effects on Negative Thinking and Learning Performance in Gamified Tutoring
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    Chapter 52 Practice of Tutoring Support System Based on Impasse Detection for Face-to-Face and On-Demand Programming Exercises
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    Chapter 53 Investigating Patterns of Tone and Sentiment in Teacher Written Feedback Messages
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    Chapter 54 Performance by Preferences – An Experiment in Language Learning to Argue for Personalization
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    Chapter 55 Emotionally Adaptive Intelligent Tutoring System to Reduce Foreign Language Anxiety
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    Chapter 56 Amortised Design Optimization for Item Response Theory
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    Chapter 57 Early Prediction of Student Performance in Online Programming Courses
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    Chapter 58 Classifying Mathematics Teacher Questions to Support Mathematical Discourse
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    Chapter 59 Task-Based Workplace English: An Adaptive Multimodal Tutoring System
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    Chapter 60 A Bayesian Analysis of Adolescent STEM Interest Using Minecraft
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    Chapter 61 Automatic Slide Generation Using Discourse Relations
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    Chapter 62 RoboboITS: A Simulation-Based Tutoring System to Support AI Education Through Robotics
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    Chapter 63 Towards Analyzing Psychomotor Group Activity for Collaborative Teaching Using Neural Networks
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    Chapter 64 Warming up the Cold Start: Adaptive Step Size Method for the Urnings Algorithm
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    Chapter 65 Gamiflow: Towards a Flow Theory-Based Gamification Framework for Learning Scenarios
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    Chapter 66 Using Large Language Models to Develop Readability Formulas for Educational Settings
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    Chapter 67 A Quantitative Study of NLP Approaches to Question Difficulty Estimation
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    Chapter 68 Learning from AI: An Interactive Learning Method Using a DNN Model Incorporating Expert Knowledge as a Teacher
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    Chapter 69 AI Cognitive - Based Systems Supporting Learning Processes
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    Chapter 70 Modeling Problem-Solving Strategy Invention (PSSI) Behavior in an Online Math Environment
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    Chapter 71 A SHAP-Inspired Method for Computing Interaction Contribution in Deep Knowledge Tracing
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    Chapter 72 Analyzing Users’ Interaction with Writing Feedback and Their Effects on Writing Performance
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    Chapter 73 Annotating Educational Dialog Act with Data Augmentation in Online One-on-One Tutoring
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    Chapter 74 Improving Code Comprehension Through Scaffolded Self-explanations
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    Chapter 75 Using Large Language Models to Provide Formative Feedback in Intelligent Textbooks
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    Chapter 76 Utilizing Natural Language Processing for Automated Assessment of Classroom Discussion
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    Chapter 77 It’s Good to Explore: Investigating Silver Pathways and the Role of Frustration During Game-Based Learning
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    Chapter 78 Ghost in the Machine: AVATAR, a Prototype for Supporting Student Authorial Voice
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    Chapter 79 Evaluating Language Learning Apps for Behaviour Change Using the Behaviour Change Scale
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    Chapter 80 Evaluating the Rater Bias in Response Scoring in Digital Learning Platform: Analysis of Student Writing Styles
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    Chapter 81 Generative AI for Learning: Investigating the Potential of Learning Videos with Synthetic Virtual Instructors
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    Chapter 82 Virtual Agent Approach for Teaching the Collaborative Problem Solving Skill of Negotiation
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    Chapter 83 How Useful Are Educational Questions Generated by Large Language Models?
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    Chapter 84 Towards Extracting Adaptation Rules from Neural Networks
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    Chapter 85 A Support System to Help Teachers Design Course Plans Conforming to National Curriculum Guidelines
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    Chapter 86 Predicting Student Scores Using Browsing Data and Content Information of Learning Materials
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    Chapter 87 Preserving Privacy of Face and Facial Expression in Computer Vision Data Collected in Learning Environments
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    Chapter 88 Item Difficulty Constrained Uniform Adaptive Testing
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    Chapter 89 “A Fresh Squeeze on Data”: Exploring Gender Differences in Self-efficacy and Career Interest in Computing Science and Artificial Intelligence Among Elementary Students
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    Chapter 90 Simulating Learning from Language and Examples
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    Chapter 91 Learner Perception of Pedagogical Agents
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    Chapter 92 Using Intelligent Tutoring on the First Steps of Learning to Program: Affective and Learning Outcomes
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    Chapter 93 A Unified Batch Hierarchical Reinforcement Learning Framework for Pedagogical Policy Induction with Deep Bisimulation Metrics
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    Chapter 94 Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport
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    Chapter 95 Nuanced Growth Patterns of Students with Disability
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    Chapter 96 Visualizing Self-Regulated Learner Profiles in Dashboards: Design Insights from Teachers
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    Chapter 97 Classification of Brain Signals Collected During a Rule Learning Paradigm
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    Chapter 98 Q-GENius: A GPT Based Modified MCQ Generator for Identifying Learner Deficiency
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    Chapter 99 Towards Automatic Tutoring of Custom Student-Stated Math Word Problems
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    Chapter 100 A Software Platform for Evaluating Student Essays in Interdisciplinary Learning with Topic Classification Techniques
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    Chapter 101 Automated Scoring of Logical Consistency of Japanese Essays
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    Chapter 102 Exercise Generation Supporting Adaptivity in Intelligent Tutoring Systems
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    Chapter 103 Context Matters: A Strategy to Pre-train Language Model for Science Education
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    Chapter 104 Identifying Usability Challenges in AI-Based Essay Grading Tools
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    Chapter 105 Enhancing Engagement Modeling in Game-Based Learning Environments with Student-Agent Discourse Analysis
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    Chapter 106 Understanding the Impact of Reinforcement Learning Personalization on Subgroups of Students in Math Tutoring
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    Chapter 107 Automated Assessment of Comprehension Strategies from Self-explanations Using Transformers and Multi-task Learning
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    Chapter 108 Ensuring Fairness of Human- and AI-Generated Test Items
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    Chapter 109 Deidentifying Student Writing with Rules and Transformers
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    Chapter 110 Comparative Analysis of Learnersourced Human-Graded and AI-Generated Responses for Autograding Online Tutor Lessons
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    Chapter 111 Using Similarity Learning with SBERT to Optimize Teacher Report Embeddings for Academic Performance Prediction
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    Chapter 112 Using Simple Text Mining Tools to Power an Intelligent Learning System for Lengthy, Domain Specific Texts
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    Chapter 113 Question Classification with Constrained Resources: A Study with Coding Exercises
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    Chapter 114 Even Boosting Stereotypes Increase the Gender Gap in Gamified Tutoring Systems: An Analysis of Self-efficacy, Flow and Learning
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    Chapter 115 DancÆR: Efficient and Accurate Dance Choreography Learning by Feedback Through Pose Classification
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    Chapter 116 Intelligence Augmentation in Early Childhood Education: A Multimodal Creative Inquiry Approach
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    Chapter 117 Promoting Students’ Pre-class Preparation in Flipped Classroom with Kit-Build Concept Map
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    Chapter 118 AIED Unplugged: Leapfrogging the Digital Divide to Reach the Underserved
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    Chapter 119 Can A/B Testing at Scale Accelerate Learning Outcomes in Low- and Middle-Income Environments?
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    Chapter 120 A Case Study on AIED Unplugged Applied to Public Policy for Learning Recovery Post-pandemic in Brazil
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    Chapter 121 Enabling Individualized and Adaptive Learning – The Value of an AI-Based Recommender System for Users of Adult and Continuing Education Platforms
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    Chapter 122 “Learning Recorder” that Helps Lesson Study of Collaborative Learning
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    Chapter 123 “Learning Note” that Helps Teachers’ Lesson Study Across Time and Space
Attention for Chapter 42: Learning from Auxiliary Sources in Argumentative Revision Classification
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Chapter title
Learning from Auxiliary Sources in Argumentative Revision Classification
Chapter number 42
Book title
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-36336-8_42
Book ISBNs
978-3-03-136335-1, 978-3-03-136336-8
Authors

Afrin, Tazin, Litman, Diane