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.