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

Full Papers.- RepairNet: Contextual Sequence-to-Sequence network for
automated program repair.- Seven-year longitudinal implications of wheel
spinning and productive persistence.- A Systematic Review of Data-driven
Approaches to Item Difficulty Prediction.- Annotating Student Engagement
Across Grades 1-12: Associations with Demographics and Expressivity.-
Affect-Targeted Interviews for Understanding Student Frustration.-
Explainable Recommendations in a Personalized Programming Practice System.-
Mutilingual Age of Exposure.- DiSCS: A New Sequence Segmentation Method for
Open-Ended Learning Environments.- Interpretable Clustering of Students'
Solutions in Introductory Programming.- Adaptively Scaffolding Cognitive
Engagement with Batch Constrained Deep Q-Networks.- Ordering Effects in a
Role-Based Scaffolding Intervention for Asynchronous Online Discussions.-
Option Tracing: Beyond Correctness Analysis in Knowledge Tracing.-  An
approach for detecting student perceptions of the programming experience from
interaction log data.- Discovering Co-creative Dialogue States during
Collaborative Learning.- Affective Teacher Tools: Affective Class Report Card
and Dashboard.- Engendering Trust in Automated Feedback: A Two Step
Comparison of Feedbacks in Gesture Based Learning.- Investigating students'
reasoning in a code-tracing tutor.- Evaluating Critical Reinforcement
Learning Framework In the Field.- Machine learning models and their
development process as learning affordances for humans.- Predicting
Co-Occurring Emotions from Eye-Tracking and Interaction Data in MetaTutor.- A
Fairness Evaluation of Automated Methods for Scoring Text Evidence Usage in
Writing.- The Challenge of Noisy Classrooms: Speaker Detection During
Elementary Students Collaborative Dialogue.- Extracting and Clustering Main
Ideas from Student Feedback using Language Models.- Multidimensional Team
Communication Modeling for Adaptive Team Training: A Hybrid Deep Learning and
Graphical Modeling Framework.- A Good Start is Half the Battle Won:
Unsupervised Pre-Training for Low Resource Children's Speech Recognition for
an Interactive Reading Companion.- Predicting Knowledge Gain during Web
Search based on Multimedia Resource Consumption.- Deep Performance Factors
Analysis for Knowledge Tracing.- Gaming and confrustion explain learning
advantages for a math digital learning game.- Tackling the Credit Assignment
Problem in Reinforcement Learning-Induced Pedagogical Policies with Neural
Networks.- TARTA: Teacher Activity Recognizer from Transcriptions and Audio.-
Assessing Algorithmic Fairness in Automatic Classifiers of Educational Forum
Posts.- Can you clarify what you said?: Studying the impact of tutee
agents follow-up questions on tutors learning.- Classifying Math Knowledge
Components via Task-Adaptive Pre-Trained BERT.- A Multidimensional Item
Response Theory Model for Rubric-based Writing Assessment.- Towards Bloom's
Taxonomy Classification Without Labels.- Automatic Task Requirements Writing
Evaluation With Feedback via Machine Reading Comprehension.- Temporal
Processes Associating with Procrastination Dynamics.- Investigating Students
Experiences with Collaboration Analytics for Remote Group Meetings.- Now, I
Want to Teach it for Real!: Introducing Machine Learning as a Scientific
Discovery Tool for K-12 Teachers,. Better Model, Worse Predictions: The
Dangers in Student Model Comparisons.