Publications

Yang Shi, Robin Schmucker, Min Chi, Tiffany Barnes, Thomas W. Price (2023). KC-Finder: Automated Knowledge Component Discovery for Programming Problems. Proceedings of the International Conference on Educational Data Mining.

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Rachel Harred, Tiffany Barnes, Susan Fisk, Thomas W. Price, Spencer Yoder (2023). Do Intentions to Persist Predict Short-Term Computing Course Enrollments?. Proceedings of the ACM Technical Symposium on Computer Science Education.

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Wengran Wang (2023). Automated, Personalized Examples to Support Creative, Open-Ended Programming.

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James Skripchuk, Neil Bennett, Jeffery Zheng, Eric Li, Thomas W. Price (2023). Analysis of Novices’ Web-Based Help-Seeking Behavior While Programming. Proceedings of the ACM Technical Symposium on Computer Science Education.

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Gina Bai, Sandeep Sthapit, Sarah Heckman, Thomas W. Price, Kathryn T. Stolee (2023). An Experience Report on Introducing Explicit Strategies into Testing Checklists for Advanced Beginners. Proceedings of the ACM Conference on Innovation and Technology in Computer Science Education.

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Wengran Wang, Yudong Rao, Archit Kwatra, Alexandra Milliken, Yihuan Dong, Neeloy Gomes, Sarah Martin, Veronica Catete, Amy Isvik, Tiffany Barnes, Chris Martens, Thomas W. Price (2023). A Case Study on When and How Novices Use Code Examples in Open-Ended Programming. Proceedings of the ACM Conference on Innovation and Technology in Computer Science Education.

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Ally Limke, Alexandra Milliken, Veronica Catete, Isabella Gransbury, Amy Isvik, Thomas W. Price, Chris Martens, Tiffany Barnes (2022). Case Studies on the Use of Storyboarding by Novice Programmers. Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1.

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Bita Akram, Thomas W. Price, Yang Shi, Peter Brusilovsky, Sharon I Han Hsiao (2022). Proceedings of the 6th Workshop on Educational Data Mining in Computer Science Education @ EDM'22.

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Wengran Wang, Gordon Fraser, Mahesh Bobbadi, Benyamin T Tabarsi, Tiffany Barnes, Chris Martens, Shuyin Jiao, Thomas W. Price (2022). Pinpoint: A Record, Replay, and Extract System to Support Code Comprehension and Reuse. Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC).

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Samiha Marwan, Thomas W. Price (2022). iSnap: Evolution and Evaluation of a Data-Driven Hint System for Block-based Programming. IEEE Transactions on Learning Technologies.

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Bita Akram, Susan Fisk, Spencer Yoder, Cynthia Hunt, Thomas W. Price, Lina Battestilli, Tiffany Barnes (2022). Increasing Students' Persistence in Computer Science through a Lightweight Scalable Intervention. Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1.

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James Skripchuk, Yang Shi, Thomas W. Price (2022). Identifying Common Errors in Open-Ended Machine Learning Projects. Proceedings of the ACM Technical Symposium on Computer Science Education.

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Heidi Reichert, Ally Limke, Benyamin T Tabarsi, Thomas W. Price, Chris Martens, Tiffany Barnes (2022). How, when, and why do novices struggle in programming? Exploring the experiences and perceptions of common programming moments in block-based environments.. Proceedings of the 6th Workshop on Educational Data Mining in Computer Science Education @ EDM'22.

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Benyamin T Tabarsi, Ally Limke, Heidi Reichert, Rachel Qualls, Thomas W. Price, Chris Martens, Tiffany Barnes (2022). How to Catch Novice Programmers’ Struggles: Detecting Moments of Struggle in Open-Ended Block-Based Programming Projects using Trace Log Data. Proceedings of the 6th Workshop on Educational Data Mining in Computer Science Education @ EDM'22.

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Cynthia Hunt, Spencer Yoder, Taylor Comment, Thomas W. Price, Bita Akram, Lina Battestilli, Tiffany Barnes, Susan Fisk (2022). Gender, Self-Assessment, and Persistence in Computing: How gender differences in self-assessed ability reduce women's persistence in computer science. Proceedings of the International Computing Education Research Conference.

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Wengran Wang, Audrey Le Meur, Mahesh Bobbadi, Bita Akram, Tiffany Barnes, Chris Martens, Thomas W. Price (2022). Exploring Design Choices to Support Novices' Example Use During Creative Open-Ended Programming. Proceedings of the ACM Technical Symposium on Computer Science Education.

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Ye Mao, Farzaneh Khoshnevisan, Thomas W. Price, Tiffany Barnes, Min Chi (2022). Cross-Lingual Adversarial Domain Adaptation for Novice Programming. Proceedings of the Association for the Advancement of Artificial Intelligence Conference.

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Yang Shi, Min Chi, Tiffany Barnes, Thomas W. Price (2022). Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks.. In Proceedings of the 15th International Conference on Educational Data Mining (EDM) 2022.

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Gina R Bai, Kai Presler-Marshall, Thomas W. Price, Kathryn T Stolee (2022). Check It Off: Exploring the Impact of a Checklist Intervention on the Quality of Student-authored Unit Tests. Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1.

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Susan Fisk, Cynthia Hunt, Lina Battestilli, Bita Akram, Tiffany Barnes, Thomas W. Price, Spencer Yoder (2022). Automating Personalized Feedback to Improve Students' Persistence in Computing. Proceedings of the ACM Technical Symposium on Computer Science Education.

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Samiha Marwan, Bita Akram, Tiffany Barnes, Thomas W. Price (2022). Adaptive Immediate Feedback for Block-Based Programming: Design and Evaluation. IEEE Transactions on Learning Technologies.

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Samiha Marwan, Yang Shi, Ian Menzes, Min Chi, Tiffany Barnes, Thomas W. Price (2021). Just a Few Expert Constraints Can Help: Humanizing Data-Driven Subgoal Detection for Novice Programming. Proceedings of the International Conference on Educational Data Mining 2021.

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Yihuan Dong, Samiha Marwan, Preya Shabrina, Thomas W. Price, Tiffany Barnes (2021). Using Student Trace Logs to Determine Meaningful Progress and Struggle during Programming Problem Solving.. Proceedings of the International Conference on Educational Data Mining.

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Yang Shi, Krupal Shah, Wengran Wang, Samiha Marwan, Poorvaja Penmetsa, Thomas W. Price (2021). Toward Semi-Automatic Misconception Discovery Using Code Embeddings. Proceedings of the 11th International Learning Analytics and Knowledge Conference (LAK21).

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Wengran Wang, Chenhao Zhang, Andreas Stahlbauer, Gordon Fraser, Thomas W. Price (2021). SnapCheck: Automated Testing for Snap Programs. Proceedings of the International Conference on Innovation and Technology in Computer Science Education.

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Wengran Wang, Chenhao Zhang, Andreas Stahlbauer, Gordon Fraser, Thomas W. Price (2021). Snap-Check: Automated Testing for Graphical Interactive Programs. Proceedings of the International Conference on Innovation and Technology in Computer Science Education(31% acceptance rate; 84/275 full papers.).

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Alexander Card, Wengran Wang, Chris Martens, Thomas W. Price (2021). Scaffolding Game Design: Towards Tool Support for Planning Open-Ended Projects in an Introductory Game Design Class. Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC).

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Samiha Marwan, Preya Shabrina, Alex Milliken, Ian Menezes, Veronica Catete, Thomas W. Price, Tiffany Barnes (2021). Promoting Students' Progress-Monitoring Behavior during Block-Based Programming. Proceedings of the Koli Calling International Conference on Computing Education Research.

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Bita Akram, Thomas W. Price, Yang Shi, Peter Brusilovsky, Sharon I Han Hsiao (2021). Proceedings of the 5th Workshop on Educational Data Mining in Computer Science Education @ EDM'21.

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Alexandra Milliken, Veronica Catete, Amy Isvik, Tiffany Barnes, Wengran Wang, Thomas W. Price, Chris Martens, Neeloy Gomes, Sarah Martin (2021). PlanIT! A new integrated tool to help novices design for open-ended projects. Proceedings of the ACM Technical Symposium on Computer Science Education.

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Wengran Wang, Archit Kwatra, James Skripchuk, Neeloy Gomes, Alexandra Milliken, Chris Martens, Tiffany Barnes, Thomas W. Price (2021). Novices' Learning Barriers When Using Code Examples in Open-Ended Programming. Proceedings of the International Conference on Innovation and Technology in Computer Science Education.

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Wengran Wang, Archit Kwatra, James Skripchuk, Neeloy Gomes, Alexandra Milliken, Chris Martens, Tiffany Barnes, Thomas W. Price (2021). Novices' Learning Barriers When Using Code Examples in Open-Ended Programming. Proceedings of the International Conference on Innovation and Technology in Computer Science Education(31% acceptance rate; 84/275 full papers.).

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Yang Shi, Ye Mao, Tiffany Barnes, Min Chi, Thomas W. Price (2021). More with less: Exploring how to use deep learning effectively through semi-supervised learning for automatic bug detection in student code.. In Proceedings of the 14th International Conference on Educational Data Mining (EDM) 2021.

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Y Mao, Y Shi, S Marwan, TW Price, T Barnes, M Chi (2021). Knowing both when and where: Temporal-ASTNN for Early Prediction of Student Success in Novice Programming Tasks. In Proceedings of the 14th International Conference on Educational Data Mining (EDM) 2021.

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Samiha Marwan (2021). Investigating Best Practices in the Design ofAutomated Hints and Formative Feedback to Improve Students' Cognitive and Affective Outcomes.

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Poorvaja Penmetsa, Yang Shi, Thomas W. Price (2021). Identifying Struggling Students in Novice Programming Course with Knowledge Tracing. Proceedings of the 5th Workshop on Educational Data Mining in Computer Science Education (CSEDM) at EDM'21.

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Thomas W. Price, Samiha Marwan, Joseph Jay Williams (2021). Exploring Design Choices in Data-driven Hints for Python Programming Homework. Proceedings of the ACM Conference on Learning@ Scale.

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Wengran Wang, Gordon Fraser, Tiffany Barnes, Chris Martens, Thomas W. Price (2021). Execution-Trace-Based Feature Engineering To Enable Formative Feedback on Visual, Interactive Programs. Proceedings of the 5th Workshop on Educational Data Mining in Computer Science Education (CSEDM) at EDM'21.

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Ge Gao, Yang Shi, Thomas W. Price (2021). Early Performance Prediction using Interpretable Patterns in Programming Process Data. Proceedings of the ACM Technical Symposium on Computer Science Education.

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Wengran Wang, Gordon Fraser, Tiffany Barnes, Chris Martens, Thomas W. Price (2021). Automated classification of visual, interactive programs using execution traces. Proceedings of the International Conference on Educational Data Mining.

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Ye Mao, Samiha Marwan, Thomas W. Price, Tiffany Barnes, Min Chi (2020). What Time is It? Student Modeling Needs to Know. Proceedings of the International Conference on Educational Data Mining.

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Samiha Marwan, Anay Dombe, Thomas W. Price (2020). Unproductive Help-seeking in Programming: What it is and How to Address it?. Proceedings of the International Conference on Innovation and Technology in Computer Science Education.

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Preya Shabrina, Samiha Marwan, Min Chi, Tiffany Barnes, Thomas W. Price (2020). The Impact of Data-driven Positive Programming Feedback: When it Helps, What Happens when it Goes Wrong, and How Students Respond. Proceedings of the 4th Workshop on Educational Data Mining in Computer Science Education (CSEDM) at EDM'20.

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Wengran Wang, Yudong Rao, Rui Zhi, Samiha Marwan, Ge Gao, Thomas W. Price (2020). Step Tutor: Supporting Students through Step-by-Step Example-Based Feedback. Proceedings of the International Conference on Innovation and Technology in Computer Science Education(27.6% acceptance rate; 72/261 full papers.).

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Thomas W. Price, Ge Gao, David Hovemeyer, Kelly Rivers, Austin Cory Bart, Ayaan M Kazerouni, Stephen H. Edwards, Luke Gusukuma, Brett A Becker, Andrew Petersen, David Babcock (2020). ProgSnap2: A Flexible Format for Programming Process Data. Proceedings of the International Conference on Innovation and Technology in Computer Science Education.

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Peter Brusilovsky, Ken Koedinger, David A. Joyner, Thomas W. Price (2020). Proceedings of the 6th SPLICE Workshop at L@S 2020: Building an Infrastructure for Computer Science Education Research and Practice at Scale.

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Thomas W. Price, Peter Brusilovsky, Sharon I Han Hsiao, Kenneth R. Koedinger, Yang Shi (2020). Proceedings of the 4th Workshop on Educational Data Mining in Computer Science Education @ EDM'20.

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Samiha Marwan, Thomas W. Price, Min Chi, Tiffany Barnes (2020). 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 (CSEDM) at EDM'20.

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Thomas W. Price, Joseph Jay Williams, Jaemarie Solyst, Samiha Marwan (2020). Engaging Students with Instructor Solutions in Online Programming Homework. ACM CHI Conference on Human Factors in Computing Systems.

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Wengran Wang, Rui Zhi, Alexandra Milliken, Nicholas Lytle, Thomas W. Price (2020). Crescendo: Engaging Students to Self-Paced Programming Practices. Proceedings of the ACM Technical Symposium on Computer Science Education(31.4% acceptance rate; 171/544 papers.).

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Wengran Wang, Yudong Rao, Yang Shi, Alexandra Milliken, Chris Martens, Tiffany Barnes, Thomas W. Price (2020). Comparing Feature Engineering Approaches to Predict Complex Programming Behaviors. Proceedings of the 4th Workshop on Educational Data Mining in Computer Science Education (CSEDM) at EDM'20.

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Thomas W. Price, Samiha Marwan, Michael Winters, Joseph Jay Williams (2020). An Evaluation of Data-driven Programming Hints in a Classroom Setting. Proceedings of the International Conference on Artificial Intelligence in Education.

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Samiha Marwan, Ge Gao, Susan Fisk, Thomas W. Price, Tiffany Barnes (2020). Adaptive Immediate Feedback Can Improve Novice Programming Engagement and Intention to Persist in Computer Science. Proceedings of the International Computing Education Research Conference (22.7% acceptance rate; 27/119 full papers).

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Rui Zhi, Samiha Marwan, Yihuan Dong, Nicholas Lytle, Thomas W. Price, Tiffany Barnes (2019). Toward Data-Driven Example Feedback for Novice Programming. Proceedings of the International Conference on Educational Data Mining.

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Samiha Marwan, Nicholas Lytle, Thomas W. Price, Joseph Jay Williams (2019). The Impact of Adding Textual Explanations to Next-step Hints in a Novice Programming Environment. Proceedings of the Annual Conference on Innovation and Technology in Computer Science Education (28% acceptance rate; 67/243 full papers).

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Nicholas Lytle, Jennifer Echavarria, Joshua Sosa, Thomas W. Price (2019). Resource rush: towards an open-ended programming game. 2019 IEEE Blocks and Beyond Workshop (B&B).

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Thomas W. Price, David Hovemeyer, Kelly Rivers, Austin Cory Bart, Andrew Petersen, Brett A Becker, Jason Lefever (2019). ProgSnap2: A Flexible Format for Programming Process Data. Proceedings of the Educational Data Mining in Computer Science Workshop in the Companion Proceedings of the International Conference on Learning Analytics and Knowledge.

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David Azcona, Yancy Vance Paredes, Sharon I Han Hsiao, Thomas W. Price (2019). Proceedings of the 3rd Workshop on Educational Data Mining in Computer Science Education @ AIED'19.

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David Azcona, Yancy Vance Paredes, Sharon I. Han Hsiao, Thomas W. Price (2019). Proceedings of the 2nd Workshop on Educational Data Mining in Computer Science Education @ LAK'19.

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Peter Brusilovsky, Thomas W. Price, Lauri Malmi, Stephen Edwards (2019). Proceedings of SPLICE 2019 workshop Computing Science Education Infrastructure: From Tools to Data @ ICER'19.

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Ye Mao, Rui Zhi, Farzaneh Khoshnevisan, Thomas W. Price, Tiffany Barnes, Min Chi (2019). One minute is enough: Early Prediction of Student Success and Event-level Difficulty during a Novice Programming Task. Proceedings of the International Conference on Educational Data Mining.

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Thomas W. Price, Ge Gao (2019). Lightning Talk: Curating Analyses for Programming Log Data. Proceedings of SPLICE 2019 Workshop Computing Science Education Infrastructure: From Tools to Data at 15th ACM International Computing Education Research Conference.

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Rui Zhi, Thomas W. Price, Samiha Marwan, Alexandra Milliken, Tiffany Barnes, Min Chi (2019). Exploring the Impact of Worked Examples in a Novice Programming Environment. Proceedings of the ACM Technical Symposium on Computer Science Education.

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Rui Zhi, Min Chi, Tiffany Barnes, Thomas W. Price (2019). Evaluating the Effectiveness of Parsons Problems for Block-based Programming. Proceedings of the International Computing Education Research Conference.

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Rui Zhi (2019). Design and Evaluation of Instructional Supports for Novice Programming Environments..

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Yihuan Dong, Samiha Marwan, Veronica Catete, Tiffany Barnes, Thomas W. Price (2019). Defining Tinkering Behavior in Open-ended Block-based Programming Assignments. Proceedings of the ACM Technical Symposium on Computer Science Education.

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Samiha Marwan, Joseph Jay Williams, Thomas W. Price (2019). An Evaluation of the Impact of Automated Programming Hints on Performance and Learning. Proceedings of the International Computing Education Research Conference.

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Thomas W. Price, Joseph Jay Williams, Samiha Marwan (2019). A Comparison of Two Designs for Automated Programming Hints. Proceedings of the Educational Data Mining in Computer Science Workshop in the Companion Proceedings of the International Conference on Learning Analytics and Knowledge.

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Thomas W. Price, Yihuan Dong, Rui Zhi, Benjamin Paaßen, Nicholas Lytle, Veronica Catete, Tiffany Barnes (2019). A Comparison of the Quality of Data-driven Programming Hint Generation Algorithms. International Journal of Artificial Intelligence in Education.

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T.W. Price, R. Zhi, Y. Dong, N. Lytle, T. Barnes (2018). The impact of data quantity and source on the quality of data-driven hints for programming. Proceedings of the International Conference on Artificial Intelligence in Education.

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Benjamin Paaßen, Barbara Hammer, Thomas W. Price, Tiffany Barnes, Sebastian Gross, Niels Pinkwart (2018). The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces. Journal of Educational Data Mining.

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Rui Zhi, Thomas W. Price, Nicholas Lytle, Tiffany Barnes (2018). Reducing the State Space of Programming Problems through Data-Driven Feature Detection. Proceedings of the Educational Data Mining in Computer Science Education Workshop at the International Conference on Educational Data Mining.

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Thomas W. Price, Tiffany Barnes (2018). iSnap: Automatic Hints and Feedback for Block-based Programming. Proceedings of the ACM Technical Symposium on Computer Science Education.

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Rui Zhi, Nicholas Lytle, Thomas W. Price (2018). Exploring Instructional Support Design in an Educational Game for K-12 Computing Education. Proceedings of the ACM Technical Symposium on Computer Science Education.

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Thomas W. Price, Tiffany Barnes (2017). Showpiece: iSnap Demonstration. Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing.

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Thomas W. Price, Neil C C Brown, Chris Piech, Kelly Rivers (2017). Sharing and Using Programming Log Data. Proceedings of the ACM Technical Symposium on Computer Science Education.

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Thomas W. Price, Tiffany Barnes (2017). Position Paper: Block-based Programming Should Offer Intelligent Support for Learners. Proceedings of the 2nd Blocks and Beyond Workshop at VL/HCC.

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Thomas W. Price, Yihuan Dong, Dragan Lipovac (2017). iSnap: Towards Intelligent Tutoring in Novice Programming Environments. Proceedings of the ACM Technical Symposium on Computer Science Education.

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Thomas W. Price, Rui Zhi, Tiffany Barnes (2017). Hint Generation Under Uncertainty: The Effect of Hint Quality on Help-Seeking Behavior. Proceedings of the International Conference on Artificial Intelligence in Education (30% acceptance rate; 36/121 full papers).

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Thomas W. Price, Zhongxiu Liu, Veronica Catete, Tiffany Barnes (2017). Factors Influencing Students' Help-Seeking Behavior while Programming with Human and Computer Tutors. Proceedings of the International Computing Education Research Conference.

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Thomas W. Price, Rui Zhi, Tiffany Barnes (2017). Evaluation of a Data-driven Feedback Algorithm for Open-ended Programming. Proceedings of the International Conference on Educational Data Mining.

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Guojing Zhou, Collin F Lynch, Thomas W. Price, Tiffany Barnes, Min Chi (2016). The Impact of Granularity on the Effectiveness of Students ' Pedagogical Decision. Annual Meeting of the Cognitive Science Society.

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Rogelio E Cardona-Rivera, Thomas W. Price, David R Winer, R. Michael Young (2016). Question answering in the context of stories generated by computers. Advances in Cognitive Systems.

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Thomas W. Price, Veronica Catete, Jennifer Albert, Tiffany Barnes, Daniel D Garcia (2016). Lessons Learned from \"BJC\" CS Principles Professional Development. Proceedings of the ACM Technical Symposium on Computer Science Education.

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Thomas W. Price, Yihuan Dong, Tiffany Barnes (2016). Generating Data-driven Hints for Open-ended Programming. Proceedings of the International Conference on Educational Data Mining.

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Thomas W. Price, Neil C.C. Brown, Dragan Lipovac, Tiffany Barnes, Michael Kölling (2016). Evaluation of a Frame-based Programming Editor. Proceedings of the International Computing Education Research Conference.

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S. Duval, D. Eagle, R. Narcisse, T. W. Price (2016). Clashroom: A Game to Enhance the Classroom Experience. Proceedings of the ACM Technical Symposium on Computer Science Education.

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Collin Lynch, Thomas W. Price, Min Chi, Tiffany Barnes (2015). Using the hint factory to compare model-based tutoring systems. Proceedings of the Workshop on Graph-based Educational Data Mining at the International Conference on Educational Data Mining.

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Guojing Zhou, Thomas W. Price, Collin Lynch, Tiffany Barnes, Min Chi (2015). The Impact of Granularity on Worked Examples and Problem Solving. Proceedings of the Annual Meeting of the Cognitive Science Society.

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T. W. Price, Veronica Catete, Jennifer Albert, Tiffany Barnes (2015). Determining the Impact of Teacher Professional Development on Perceived Ability to Teach a Computer Science Principles Course.. Proceedings of the International Computing Education Research Conference.

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Thomas W. Price, Tiffany Barnes (2015). Comparing Textual and Block Interfaces in a Novice Programming Environment. Proceedings of the International Computing Education Research Conference.

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Thomas W. Price, Jennifer Albert, Veronica Catete, Tiffany Barnes (2015). BJC in Action: Comparison of Student Perceptions of a Computer Science Principles Course. Proceedings of the Annual Conference For Research On Equity & Sustained Participation In Computing, Engineering, & Technology.

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T. W. Price, C. Lynch, T. Barnes, M. Chi (2015). An Improved Data-Driven Hint Selection Algorithm for Probability Tutors. Proceedings of the International Conference on Educational Data Mining.

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Thomas W. Price, Tiffany Barnes (2015). An Exploration of Data-Driven Hint Generation in an Open-Ended Programming Problem. Proceedings of the Workshop on Graph-based Educational Data Mining at the International Conference on Educational Data Mining.

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Thomas W. Price, R. Michael Young (2014). Towards an Extended Declarative Representation for Camera Planning. Workshop on Intelligent Cinematography and Editing at the AAAI Conference on Artificial Intelligence.

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