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

Table of Contents

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   Book Overview
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   Chapter 1 The Black-Box Syndrome: Embracing Randomness in Machine Learning Models
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   Chapter 2 Developing an Inclusive Q&A Chatbot in Massive Open Online Courses
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   Chapter 3 Graph Entropy-Based Learning Analytics
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   Chapter 4 Generating Narratives of Video Segments to Support Learning
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   Chapter 5 Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance from Educators in Online Learning Platforms
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   Chapter 6 Grading Programming Assignments with an Automated Grading and Feedback Assistant
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   Chapter 7 Scaffolding Self-regulated Learning in Game-Based Learning Environments Based on Complex Systems Theory
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   Chapter 8 Speech and Eye Tracking Features for L2 Acquisition: A Multimodal Experiment
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    Chapter 9 Using Open Source Technologies and Generalizable Procedures in Conversational and Affective Intelligent Tutoring Systems
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    Chapter 10 A Context-Aware Approach to Personalized Feedback for Novice Programmers
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    Chapter 11 Towards Speech-Based Collaboration Detection in a Noisy Classroom
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    Chapter 12 Exploring Fairness in Automated Grading and Feedback Generation of Open-Response Math Problems
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    Chapter 13 An Intelligent Multimodal Dictionary for Chinese Character Learning
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    Chapter 14 Leveraging Natural Language Processing for Quality Assurance of a Situational Judgement Test
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    Chapter 15 AI-Enabled Personalized Interview Coach in Rural India
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    Chapter 16 An Integrated Approach to Learning Solutions: UCD + LS&D + AIEd
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    Chapter 17 Artificial Intelligence (AI), the Future of Work, and the Building of a National Talent Ecosystem
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    Chapter 18 Introducing EIDU’s Solver Platform: Facilitating Open Collaboration in AI to Help Solve the Global Learning Crisis
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    Chapter 19 Intelligent Textbooks: Themes and Topics
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    Chapter 20 Interdisciplinary Approaches to Getting AI Experts and Education Stakeholders Talking
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    Chapter 21 ETS® AI Labs™ Ways of Working Tutorial: How to Build Evidence-Based, User-Obsessed, AI-Enabled Learning Solutions in an Agile Framework
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    Chapter 22 Synchronization Ratio of Time-Series Cross-Section and Teaching Material Clickstream for Visualization of Student Engagement
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    Chapter 23 Interpretable Knowledge Gain Prediction for Vocational Preparatory E-Learnings
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    Chapter 24 Adaptive Cross-Platform Learning for Teachers in Adult and Continuing Education
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    Chapter 25 Complex Learning Environments: Tensions in Student Perspectives that Indicate Competing Values
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    Chapter 26 Embodied Agents to Scaffold Data Science Education
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    Chapter 27 Democratizing Emotion Research in Learning Sciences
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    Chapter 28 Sensing Human Signals of Motivation Processes During STEM Tasks
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    Chapter 29 Implementation of a Mathematics Formative Assessment Online Tool Before and During Remote Learning
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    Chapter 30 Using Genetic Programming and Linear Regression for Academic Performance Analysis
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    Chapter 31 Where Is the AI? AI Literacy for Educators
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    Chapter 32 Increasing Teachers’ Trust in Automatic Text Assessment Through Named-Entity Recognition
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    Chapter 33 A Transparency Index Framework for AI in Education
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    Chapter 34 Benchmarking Partial Credit Grading Algorithms for Proof Blocks Problems
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    Chapter 35 Robust Adaptive Scaffolding with Inverse Reinforcement Learning-Based Reward Design
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    Chapter 36 A Design of a Simple Yet Effective Exercise Recommendation System in K-12 Online Learning
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    Chapter 37 Wide & Deep Learning for Judging Student Performance in Online One-on-One Math Classes
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    Chapter 38 Multimodal Behavioral Disengagement Detection for Collaborative Game-Based Learning
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    Chapter 39 Using Metacognitive Information and Objective Features to Predict Word Pair Learning Success
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    Chapter 40 Classifying Different Types of Talk During Collaboration
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    Chapter 41 Nonverbal Collaboration on Perceptual Learning Activities with Chemistry Visualizations
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    Chapter 42 Mining for STEM Interest Behaviors in Minecraft
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    Chapter 43 A Teacher without a Soul? Social-AI, Theory of Mind, and Consciousness of a Robot Tutor
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    Chapter 44 Semantic Modeling of Programming Practices with Local Knowledge Graphs: The Effects of Question Complexity on Student Performance
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    Chapter 45 Classification of Natural Language Descriptions for Bayesian Knowledge Tracing in Minecraft
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    Chapter 46 An Automatic Self-explanation Sample Answer Generation with Knowledge Components in a Math Quiz
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    Chapter 47 Gamification Through the Looking Glass - Perceived Biases and Ethical Concerns of Brazilian Teachers
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    Chapter 48 Are All Who Wander Lost? An Exploratory Analysis of Learner Traversals of Minecraft Worlds
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    Chapter 49 A Comparative Assessment of US and PH Learner Traversals and In-Game Observations within Minecraft
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    Chapter 50 First Steps Towards Automatic Question Generation and Assessment of LL(1) Grammars
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    Chapter 51 AI-Based Open-Source Gesture Retargeting to a Humanoid Teaching Robot
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    Chapter 52 Supporting Representational Competencies in an Educational Video Game: What Does and Doesn’t Work
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    Chapter 53 Managing Learners’ Memory Strength in a POMDP-Based Learning Path Recommender System
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    Chapter 54 Contrastive Deep Knowledge Tracing
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    Chapter 55 Reflection as an Agile Course Evaluation Tool
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    Chapter 56 Toward Ubiquitous Foreign Language Learning Anxiety Detection
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    Chapter 57 A Semi-automatic Approach for Generating Video Trailers for Learning Pathways
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    Chapter 58 Assessment Results on the Blockchain: A Conceptual Framework
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    Chapter 59 Cognitive Diagnosis Focusing on Knowledge Components
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    Chapter 60 Investigating Perceptions of AI-Based Decision Making in Student Success Prediction
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    Chapter 61 Introducing Response Time into Guessing and Slipping for Cognitive Diagnosis
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    Chapter 62 Engagement-Based Player Typologies Describe Game-Based Learning Outcomes
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    Chapter 63 Quantifying Semantic Congruence to Aid in Technical Gesture Generation in Computing Education
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    Chapter 64 A Multi-pronged Redesign to Reduce Gaming the System
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    Chapter 65 Learning Optimal and Personalized Knowledge Component Sequencing Policies
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    Chapter 66 Automatic Riddle Generation for Learning Resources
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    Chapter 67 SimStu-Transformer: A Transformer-Based Approach to Simulating Student Behaviour
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    Chapter 68 iCreate: Mining Creative Thinking Patterns from Contextualized Educational Data
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    Chapter 69 Analyzing Speech Data to Detect Work Environment in Group Activities
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    Chapter 70 Comparison of Selected- and Constructed-Response Items
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    Chapter 71 An Automatic Focal Period Detection Architecture for Lecture Archives
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    Chapter 72 BERT-POS: Sentiment Analysis of MOOC Reviews Based on BERT with Part-of-Speech Information
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    Chapter 73 An Adaptive Biometric Authentication System for Online Learning Environments Across Multiple Devices
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    Chapter 74 Detecting Teachers’ in-Classroom Interactions Using a Deep Learning Based Action Recognition Model
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    Chapter 75 LetGrade: An Automated Grading System for Programming Assignments
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    Chapter 76 Foreword to Machine Didactics: On Peer Learning of Artificial and Human Pupils
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    Chapter 77 Assisting Teachers in Finding Online Learning Resources: The Value of Social Recommendations
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    Chapter 78 Bi-directional Mechanism for Recursion Algorithms: A Case Study on Gender Identification in MOOCs
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    Chapter 79 Authoring Inner Loops of Intelligent Tutoring Systems Using Collective Intelligence
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    Chapter 80 Monitoring Tutor Practices to Support Self-regulated Learning in Online One-To-One Tutoring Sessions with Process Mining
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    Chapter 81 Using Knowledge Tracing to Predict Students’ Performance in Cognitive Training and Math
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    Chapter 82 Toward Accessible Intelligent Tutoring Systems: Integrating Cognitive Tutors and Conversational Agents
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    Chapter 83 Investigating the Role of Direct Instruction About the Notional Machine in Improving Novice Programmer Mental Models
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    Chapter 84 A Good Classifier is Not Enough: A XAI Approach for Urgent Instructor-Intervention Models in MOOCs
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    Chapter 85 Understanding Children’s Behaviour in a Hybrid Open Learning Environment
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    Chapter 86 Prediction of Students’ Performance in E-learning Environments Based on Link Prediction in a Knowledge Graph
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    Chapter 87 Ontology-Controlled Automated Cumulative Scaffolding for Personalized Adaptive Learning
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    Chapter 88 Investigating the Role of Demographics in Predicting High Achieving Students
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    Chapter 89 Dynamic Conversational Chatbot for Assessing Primary Students
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    Chapter 90 Investigating Natural Language Processing Techniques for a Recommendation System to Support Employers, Job Seekers and Educational Institutions
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    Chapter 91 Modeling Student Discourse in Online Discussion Forums Using Semantic Similarity Based Topic Chains
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    Chapter 92 Predicting Knowledge Gain for MOOC Video Consumption
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    Chapter 93 Programming Question Generation by a Semantic Network: A Preliminary User Study with Experienced Instructors
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    Chapter 94 Obj2Sub: Unsupervised Conversion of Objective to Subjective Questions
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    Chapter 95 Comparing Few-Shot Learning with GPT-3 to Traditional Machine Learning Approaches for Classifying Teacher Simulation Responses
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    Chapter 96 Assessing Readability of Learning Materials on Artificial Intelligence in English for Second Language Learners
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    Chapter 97 Mirroring to Encourage Online Group Participation and Scaffold Collaboration
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    Chapter 98 When the Going Gets Tough: Students’ Perceptions on Affect-Aware Support in an Exploratory Learning Environment for Fractions
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     Chapter 99 Using Log Data to Validate Performance Assessments of Mathematical Modeling Practices
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     Chapter 100 A Mobile Invented Spelling Tutoring System
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     Chapter 101 A Conversational Recommender System for Exploring Pedagogical Design Patterns
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     Chapter 102 Understanding Self-Directed Learning with Sequential Pattern Mining
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     Chapter 103 Using Participatory Design Studies to Collaboratively Create Teacher Dashboards
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     Chapter 104 An AI-Based Feedback Visualisation System for Speech Training
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     Chapter 105 Assessing Students’ Knowledge Co-construction Behaviors in a Collaborative Computational Modeling Environment
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     Chapter 106 How Item and Learner Characteristics Matter in Intelligent Tutoring Systems Data
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     Chapter 107 More Powerful A/B Testing Using Auxiliary Data and Deep Learning
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     Chapter 108 ARIN-561: An Educational Game for Learning Artificial Intelligence for High-School Students
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     Chapter 109 Protecting Student Data in ML Pipelines: An Overview of Privacy-Preserving ML
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     Chapter 110 Distributional Estimation of Personalized Second-Language Vocabulary Sizes with Wordlists that the Learner is Likely to Know
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     Chapter 111 MOOCs Paid Certification Prediction Using Students Discussion Forums
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     Chapter 112 Exploring Student Engagement in an Online Programming Course Using Machine Learning Methods
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     Chapter 113 Human-in-the-Loop Data Collection and Evaluation for Improving Mathematical Conversations
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     Chapter 114 Assessing the Practical Benefit of Automated Short-Answer Graders
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     Chapter 115 Supporting Therapists’ Assessment in Parent-Mediated Training Through Autonomous Data Collection
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     Chapter 116 On Providing Natural Language Support for Intelligent Tutoring Systems
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     Chapter 117 Data-driven Behavioural and Affective Nudging of Online Learners: System Architecture and Design
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     Chapter 118 On Applicability of Neural Language Models for Readability Assessment in Filipino
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     Chapter 119 Preliminary Design of an AI Service to Assist Self-regulated Learning by Edge Computing
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     Chapter 120 Education Theories and AI Affordances: Design and Implementation of an Intelligent Computer Assisted Language Learning System
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     Chapter 121 Question Personalization in an Intelligent Tutoring System
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     Chapter 122 Considering Disengaged Responses in Bayesian and Deep Knowledge Tracing
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     Chapter 123 K-12BERT: BERT for K-12 Education
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     Chapter 124 Data Mining of Syntax Errors in a Large-Scale Online Python Course
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     Chapter 125 It Takes Two: Examining the Effects of Collaborative Teaching of a Robot Learner
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     Chapter 126 Automatic Identification of Non-native English Speaker’s Phoneme Mispronunciation Tendencies
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     Chapter 127 Solving Probability and Statistics Problems by Probabilistic Program Synthesis at Human Level and Predicting Solvability
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     Chapter 128 Prerequisite Graph Extraction from Lectures