Artificial Intelligence in Education : 22nd International Conference, AIED 2021, Utrecht, The Netherlands, June 14-18, 2021, Proceedings, Part II /

This two-volume set LNAI 12748 and 12749 constitutes the refereed proceedings of the 22nd International Conference on Artificial Intelligence in Education, AIED 2021, held in Utrecht, The Netherlands, in June 2021.* The 40 full papers presented together with 76 short papers, 2 panels papers, 4 indus...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Roll, Ido (Editor), McNamara, Danielle (Editor), Sosnovsky, Sergey (Editor), Luckin, Rose (Editor), Dimitrova, Vania (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Series:Lecture Notes in Artificial Intelligence ; 12749
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Keynotes
  • Scrutability, control and learner models: foundations for learner-centred design in AIED
  • Augmenting learning with smart design, smart systems, and intelligence
  • Invited Panels
  • Mind the Gap: The Bidirectional Relationship between Diversity, Equity, and Inclusion (DEI) and Artificial Intelligence (AI)
  • Research-based Digital-first Assessments and the Future of Education
  • Short Papers
  • Open Learner Models for Multi-Activity Educational Systems
  • Personal vocabulary recommendation to support real life needs
  • AI Ethics Guidelines for K-12 Education: A Review of the Policy Landscape
  • Quantitative Analysis to Further Validate WC-GCMS, a Computational Metric of Collaboration in Online Textual Discourse.-Generation of automatic data-driven feedback to students using Explainable Machine Learning
  • Interactive Personas: Towards the Dynamic Assessment of Student Motivation within ITS
  • Agent-based Classroom Environment Simulation: the Effect of Disruptive Schoolchildren's Behaviour versus Teacher Control over NeighboursIntegration of Automated Essay Scoring Models using Item Response Theory
  • Towards sharing student models across learning systems
  • Protecting Student Privacy with Synthetic Data from Generative Adversarial Networks
  • Learning Analytics and Fairness: Do Existing Algorithms Serve Everyone Equally?
  • Exploiting structured error to improve automated scoring of oral reading fluency
  • Data Augmentation for Enlarging Student Feature Space and Improving Random Forest Success.-The School Path Guide: a Practical Introduction to Representation and Reasoning in AI for High School Students
  • Kwame: A Bilingual AI Teaching Assistant for Online SuaCode Courses
  • Early Prediction of Children's Disengagement in a Tablet Tutor using Visual Features
  • An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms
  • Designing intelligent systems to support medical diagnostic reasoning using process data
  • Incorporating Item Response Theory into Knowledge Tracing
  • The Automated Model of Comprehension (AMoC) v2.0
  • Pre-course Prediction of At-Risk Calculus Students
  • Examining Learners' Reflections over Time during Game-based Learning
  • Examining the Use of a Teacher Alerting Dashboard During Remote Learning
  • Capturing Fairness and Uncertainty in Student Dropout Prediction - A Comparison Study
  • Dr. Proctor: A Multi-modal AI-Based Platform for Remote Proctoring in Education
  • Multimodal Trajectory Analysis of Visitor Engagement with Interactive Science Museum Exhibits.-Analytics of Emerging and Scripted Roles in Online Discussions: Epistemic Network Analysis Approach
  • Towards Automatic Content Analysis of Rhetorical Structure in Brazilian College Entrance Essays
  • Contrasting Automatic and Manual Group Formation: A Case Study in a Software Engineering Postgraduate Course
  • Aligning Expectations About the Adoption of Learning Analytics in a Brazilian Higher Education Institution
  • Interactive Teaching with Groups of Unknown Bayesian Learners
  • Multi-Task Learning based Online Dialogic Instruction Detection with Pre-trained Language Models
  • Impact of Predictive Learning Analytics on Course Awarding Gap of Disadvantaged students in STEM
  • Evaluation of Automated Image Descriptions for Visually Impaired Students
  • Way to Go! Effects of Motivational Support and Agents on Reducing Foreign Language Anxiety
  • "I didn't copy his code": Code Plagiarism Detection with Visual Proof
  • An Epistemic Model-Based Tutor for Imperative Programming
  • Long Term Retention of Programming Concepts Learned Using Tracing Versus Debugging Tutors
  • Facilitating the Implementation of AI-based Assistive Technologies for Persons with Disabilities in Vocational Rehabilitation: A practical Design Thinking Approach
  • Quantifying the Impact of Severe Weather Conditions on Online Learning During the COVID-19 Pandemic
  • I-Mouse: A Framework for Player Assistance in Adaptive Serious Games
  • Parent-EMBRACE: An Adaptive Dialogic Reading Intervention
  • Using Fair AI with Debiased Network Embeddings to Support Help Seeking in an Online Math Learning Platform
  • A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation
  • Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models
  • DanceTutor: An ITS for Coaching Novice Ballet Dancers using Pose Recognition of Whole-body Movements
  • Tracing Embodied Narratives of Critical Thinking
  • Multi-Armed Bandit Algorithms for Online Adaptive Learning: A Survey
  • Paraphrasing Academic Text: A Study of Back-translating Anatomy and Physiology with Transformers
  • PAKT: A Position-Aware Self-Attentive Approach for Knowledge Tracing
  • Identifying Struggling Students by Comparing Online Tutor Clickstreams
  • Exploring Dialogism using Language Models
  • EduPal leaves no professor behind: Supporting faculty via a peer-powered recommender system
  • Computer-Supported Human Mentoring for Personalized and Equitable Math Learning
  • Internalisation of Situational Motivation by Addressing the Needs for Competence, Autonomy and Relatedness in an E-Learning Scenario using Gamification
  • Learning Association between Learning Objectives and Key Concepts to Generate Pedagogically Valuable Questions
  • Exploring the working and effectiveness of norm-model feedback in conceptual modelling - A preliminary report
  • A Comparative Study of Learning Outcomes for Online Learning Platforms
  • Explaining Engagement: Underrepresented Learner Behaviors in a Virtual Coding Camp
  • (342) Using AI to promote equitable classroom instruction: The TalkMoves Application
  • Investigating effects of selecting challenging goals
  • Modeling Frustration Trajectories and Problem-Solving Behaviors in Adaptive Learning Environments for Introductory Computer Science
  • Behavioral Phenotyping for Predictive Model Equity and Interpretability in STEM Education
  • Teaching underachieving algebra students to construct models using a simple intelligent tutoring system
  • Charisma and Learning: Designing Charismatic Behaviors for Virtual Human Tutors
  • AI-Powered Teaching Behavior Analysis by Using 3D-MobileNet and Statistical Optimization
  • Assessment2Vec: Learning Distributed Representations of Assessments to Reduce Instructors' Workload in Marking Exams
  • Toward Stable Asymptotic Learning with Simulated Learners
  • A word embeddings based clustering approach for collaborative learning group formation
  • Intelligent Agents Influx in Schools: Teacher Cultures, Anxiety Levels and Predictable Variations
  • WikiMorph: Learning to Decompose Words into Morphological Structures
  • Elo-infused Bayesian Knowledge Tracing - an approach to operationalized individualization
  • Self-paced Graph Memory Network for Student GPA Prediction and Abnormal Student Detection
  • Exploring The Use of Adaptive Experiments To More Rapidly Use Data To Help Students
  • A Comparison of Hints vs. Scaffolding in a MOOC with Adult Learners
  • An Ensemble Approach for Question-level Knowledge Tracing
  • Industry and Innovation
  • Scaffolds and Nudges: A Case Study in Learning Engineering Design Improvements
  • Condensed Discriminative Question Set for Reliable Exam Score Prediction
  • Evaluating the Impact of Research-Based Updates to an Adaptive Assessment
  • Back to the Origin: An Intelligent System for Learning Chinese Characters
  • Doctoral Consortium
  • Automated Assessment of Quality and Coverage of Ideas in Students' Source-based Writing
  • Impact of Intelligent Tutoring System (ITS) on Mathematics Achievement using ALEKS
  • Automatically Measuring and Scaffolding Mathematics Practices for Content Acquisition
  • Contextual Safeguarding in Education: Bayesian network risk analysis for decision support
  • Workshops
  • Supporting Lifelong Learning
  • The First International Workshop on Multimodal Artificial Intelligence in Education (MAIEd)
  • Challenges and Advances in Team Tutoring (Half-day Virtual Workshop)
  • Intelligent Textbooks
  • Enhance AI Education with Industry and Academia Collaboration - IEEE Learning Technology Standard Committee and Artificial Intelligence Standards Committee.