Thomas W. Price

Latest

• An Experience Report on Introducing Explicit Strategies into Testing Checklists for Advanced Beginners
• KC-Finder: Automated Knowledge Component Discovery for Programming Problems
• Identifying Common Errors in Open-Ended Machine Learning Projects
• iSnap: Evolution and Evaluation of a Data-Driven Hint System for Block-based Programming
• Adaptive, Immediate Feedback (AIF) for Novice Programmings
• Assessing Open-Ended Programming through Dynamic Analysis
• Automatic Student Code Modeling and Analysis
• Classroom Impact
• Example-based Feedback
• Open-ended Programming Projects
• Early Performance Prediction using Interpretable Patterns in Programming Process Data
• Execution-Trace-Based Feature Engineering To Enable Formative Feedback on Visual, Interactive Programs
• Identifying Struggling Students in Novice Programming Course with Knowledge Tracing
• Novices' Learning Barriers When Using Code Examples in Open-Ended Programming
• Novices' Learning Barriers When Using Code Examples in Open-Ended Programming
• PlanIT! A new integrated tool to help novices design for open-ended projects
• Proceedings of the 5th Workshop on Educational Data Mining in Computer Science Education @ EDM'21
• Snap-Check: Automated Testing for Graphical Interactive Programs
• Toward Semi-Automatic Misconception Discovery Using Code Embeddings
• Adaptive Immediate Feedback Can Improve Novice Programming Engagement and Intention to Persist in Computer Science
• Comparing Feature Engineering Approaches to Predict Complex Programming Behaviors
• Engaging Students with Instructor Solutions in Online Programming Homework
• Immediate Data-Driven Positive Feedback Increases Engagement on Programming Homework for Novices
• Proceedings of the 4th Workshop on Educational Data Mining in Computer Science Education @ EDM'20
• Proceedings of the 6th SPLICE Workshop at L@S 2020: Building an Infrastructure for Computer Science Education Research and Practice at Scale
• Step Tutor: Supporting Students through Step-by-Step Example-Based Feedback
• Creative CS: Intelligent Support for Creative, Open-ended Programming Projects
• Proceedings of SPLICE 2019 workshop Computing Science Education Infrastructure: From Tools to Data @ ICER'19
• Proceedings of the 2nd Workshop on Educational Data Mining in Computer Science Education @ LAK'19
• The Impact of Adding Textual Explanations to Next-step Hints in a Novice Programming Environment
• Exploring Instructional Support Design in an Educational Game for K-12 Computing Education
• iSnap: Automatic Hints and Feedback for Block-based Programming
• iSnap: Data-driven Hints for Block-based Programming
• Evaluation of a Data-driven Feedback Algorithm for Open-ended Programming
• Factors Influencing Students' Help-Seeking Behavior while Programming with Human and Computer Tutors
• Hint Generation Under Uncertainty: The Effect of Hint Quality on Help-Seeking Behavior
• iSnap: Towards Intelligent Tutoring in Novice Programming Environments
• Showpiece: iSnap Demonstration
• Evaluation of a Frame-based Programming Editor
• Generating Data-driven Hints for Open-ended Programming
• Lessons Learned from \"BJC\" CS Principles Professional Development
• An Exploration of Data-Driven Hint Generation in an Open-Ended Programming Problem
• BJC in Action: Comparison of Student Perceptions of a Computer Science Principles Course
• Comparing Textual and Block Interfaces in a Novice Programming Environment
• The Impact of Granularity on Worked Examples and Problem Solving
• Using the hint factory to compare model-based tutoring systems
• Towards an Extended Declarative Representation for Camera Planning