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Thomas W. Price
Thomas William Price
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- affiliation: North Carolina State University, Raleigh, NC, USA
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2020 – today
- 2024
- [c88]Zhengdong Zhang, Zihan Dong, Yang Shi
, Thomas W. Price, Noboru Matsuda, Dongkuan Xu:
Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming. AAAI 2024: 23250-23258 - [c87]Yang Shi, Peter Brusilovsky, Bita Akram, Thomas W. Price, Juho Leinonen, Kenneth R. Koedinger, Andrew S. Lan:
8th Educational Data Mining in Computer Science Education (CSEDM) Workshop. EDM 2024 - [c86]Yang Shi, Min Chi, Tiffany Barnes, Thomas W. Price:
Evaluating Multi-Knowledge Component Interpretability of Deep Knowledge Tracing Models in Programming. EDM 2024 - [c85]Gina R. Bai
Evaluating the Effectiveness of a Testing Checklist Intervention in CS2: An Quasi-experimental Replication Study. ICER (1) 2024: 55-64 - [c84]Keith Tran
Overcoming Barriers in Scaling Computing Education Research Programming Tools: A Developer's Perspective. ICER (1) 2024: 312-325 - [c83]James Skripchuk
An Investigation of the Drivers of Novice Programmers' Intentions to Use Web Search and GenAI. ICER (1) 2024: 487-501 - [c82]John Bacher, Thomas W. Price, James Skripchuk, Wengran Wang, Yang Shi, Keith Tran:
Are Engineering Students Motivated by Interacting With Simulations They Program? A Controlled Study. SIGCSE Virtual (1) 2024 - [c81]Muntasir Hoq
Detecting ChatGPT-Generated Code Submissions in a CS1 Course Using Machine Learning Models. SIGCSE (1) 2024: 526-532 - [c80]Wengran Wang
Idea Builder: Motivating Idea Generation and Planning for Open-Ended Programming Projects through Storyboarding. SIGCSE (1) 2024: 1402-1408 - [c79]Heidi Reichert
Experience Helps, but It Isn't Everything: Exploring Causes of Affective State in Novice Programmers. SIGCSE (2) 2024: 1792-1793 - [c78]James Skripchuk
Novices' Perceptions of Web-Search and AI for Programming. SIGCSE (2) 2024: 1818-1819 - [c77]Clifford A. Shaffer
Ninth SPLICE Workshop on Technology and Data Infrastructure for CS Education Research. SIGCSE (2) 2024: 1904 - [c76]Heidi Reichert, Benyamin T. Tabarsi, Thomas W. Price, Tiffany Barnes:
Jigsaw: A Tool for Decomposing and Planning Programming Problems. VL/HCC 2024: 236-247 - [e3]Yang Shi, Peter Brusilovsky, Bita Akram, Thomas W. Price, Juho Leinonen, Ken Koedinger, Andrew S. Lan:
Proceedings of 8th Educational Data Mining in Computer Science Education Workshop (CSEDM 2024) co-located with the 17th Educational Data Mining Conference (EDM 2024), Atlanta, GA, USA, July 14, 2024. CEUR Workshop Proceedings 3796, CEUR-WS.org 2024 [contents] - 2023
- [j3]Samiha Marwan
iSnap: Evolution and Evaluation of a Data-Driven Hint System for Block-Based Programming. IEEE Trans. Learn. Technol. 16(3): 399-413 (2023) - [c75]Yang Shi, Robin Schmucker, Min Chi, Tiffany Barnes, Thomas W. Price:
KC-Finder: Automated Knowledge Component Discovery for Programming Problems. EDM 2023 - [c74]Wengran Wang
Investigating the Impact of On-Demand Code Examples on Novices' Open-Ended Programming Experience. ICER (1) 2023: 464-475 - [c73]Wengran Wang
A Case Study on When and How Novices Use Code Examples in Open-Ended Programming. ITiCSE (1) 2023: 82-88 - [c72]Gina R. Bai
An Experience Report on Introducing Explicit Strategies into Testing Checklists for Advanced Beginners. ITiCSE (1) 2023: 194-200 - [c71]James Skripchuk
Analysis of Novices' Web-Based Help-Seeking Behavior While Programming. SIGCSE (1) 2023: 945-951 - [c70]Rachel Harred
Do Intentions to Persist Predict Short-Term Computing Course Enrollments: A Scale Development, Validation, and Reliability Analysis. SIGCSE (1) 2023: 1062-1068 - [c69]Benyamin T. Tabarsi, Heidi Reichert
Exploring Novices' Struggle and Progress During Programming Through Data-Driven Detectors and Think-Aloud Protocols. VL/HCC 2023: 179-183 - [i8]Zhengdong Zhang, Zihan Dong, Yang Shi, Noboru Matsuda, Thomas W. Price, Dongkuan Xu:
Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming. CoRR abs/2312.11567 (2023) - 2022
- [j2]Samiha Marwan
Adaptive Immediate Feedback for Block-Based Programming: Design and Evaluation. IEEE Trans. Learn. Technol. 15(3): 406-420 (2022) - [c68]Ye Mao, Farzaneh Khoshnevisan, Thomas W. Price, Tiffany Barnes, Min Chi:
Cross-Lingual Adversarial Domain Adaptation for Novice Programming. AAAI 2022: 7682-7690 - [c67]Yang Shi, Min Chi, Tiffany Barnes, Thomas W. Price:
Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks. EDM 2022 - [c66]Bita Akram, Thomas W. Price, Yang Shi, Peter Brusilovsky, Sharon I-Han Hsiao:
6th Educational Data Mining in Computer Science Education (CSEDM) Workshop. EDM 2022 - [c65]Cynthia Hunt, Spencer Yoder, Taylor Comment, Thomas W. Price, Bita Akram, Lina Battestilli
Gender, Self-Assessment, and Persistence in Computing: How gender differences in self-assessed ability reduce women's persistence in computer science. ICER (1) 2022: 73-83 - [c64]Gina R. Bai
Check It Off: Exploring the Impact of a Checklist Intervention on the Quality of Student-authored Unit Tests. ITiCSE (1) 2022: 276-282 - [c63]Ally Limke, Alexandra Milliken, Veronica Cateté
Case Studies on the Use of Storyboarding by Novice Programmers. ITiCSE (1) 2022: 318-324 - [c62]Bita Akram, Susan R. Fisk, Spencer Yoder, Cynthia Hunt, Thomas W. Price
Increasing Students' Persistence in Computer Science through a Lightweight Scalable Intervention. ITiCSE (1) 2022: 526-532 - [c61]James Skripchuk, Yang Shi
Identifying Common Errors in Open-Ended Machine Learning Projects. SIGCSE (1) 2022: 216-222 - [c60]Wengran Wang, Audrey Le Meur
Exploring Design Choices to Support Novices' Example Use During Creative Open-Ended Programming. SIGCSE (1) 2022: 619-625 - [c59]Susan R. Fisk, Cynthia Hunt
Automating Personalized Feedback to Improve Students' Persistence in Computing. SIGCSE (2) 2022: 1197 - [c58]Wengran Wang, Gordon Fraser, Mahesh Bobbadi, Benyamin T. Tabarsi
Pinpoint: A Record, Replay, and Extract System to Support Code Comprehension and Reuse. VL/HCC 2022: 1-10 - [i7]Yang Shi
Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks. CoRR abs/2206.03545 (2022) - [i6]Preya Shabrina, Samiha Marwan, Andrew Bennison, Min Chi, Thomas W. Price, Tiffany Barnes:
A Multicriteria Evaluation for Data-Driven Programming Feedback Systems: Accuracy, Effectiveness, Fallibility, and Students' Response. CoRR abs/2208.05326 (2022) - 2021
- [c57]Yang Shi, Ye Mao, Tiffany Barnes, Min Chi, Thomas W. Price:
More With Less: Exploring How to Use Deep Learning Effectively through Semi-supervised Learning for Automatic Bug Detection in Student Code. EDM 2021 - [c56]Yihuan Dong, Samiha Marwan, Preya Shabrina, Tiffany Barnes, Thomas W. Price:
Using Student Trace Logs To Determine Meaningful Progress and Struggle During Programming Problem Solving. EDM 2021 - [c55]Ye Mao, Yang Shi, Samiha Marwan, Thomas W. Price, Tiffany Barnes, Min Chi:
Knowing both when and where: Temporal-ASTNN for Early Prediction of Student Success in Novice Programming Tasks. EDM 2021 - [c54]Samiha Marwan, Yang Shi, Ian Menezes, Min Chi, Tiffany Barnes, Thomas W. Price:
Just a Few Expert Constraints Can Help: Humanizing Data-Driven Subgoal Detection for Novice Programming. EDM 2021 - [c53]Poorvaja Penmetsa, Yang Shi, Thomas W. Price:
Investigate Effectiveness of Code Features in Knowledge Tracing Task on Novice Programming Course. (Work in Progress). EDM (Workshops) 2021 - [c52]Wengran Wang, Gordon Fraser, Tiffany Barnes, Chris Martens, Thomas W. Price:
Execution Trace Based Feature Engineering To Enable Formative Feedback on Visual, Interactive Programs. EDM 2021 - [c51]Wengran Wang, Gordon Fraser, Tiffany Barnes, Chris Martens, Thomas W. Price:
Execution-Trace-Based Feature Engineering To Enable Formative Feedback on Visual, Interactive Programs (Full Paper). EDM (Workshops) 2021 - [c50]Wengran Wang, Chenhao Zhang, Andreas Stahlbauer, Gordon Fraser, Thomas W. Price:
SnapCheck: Automated Testing for Snap! Programs. ITiCSE (1) 2021: 227-233 - [c49]Wengran Wang, Archit Kwatra, James Skripchuk, Neeloy Gomes, Alexandra Milliken, Chris Martens, Tiffany Barnes, Thomas W. Price:
Novices' Learning Barriers When Using Code Examples in Open-Ended Programming. ITiCSE (1) 2021: 394-400 - [c48]Samiha Marwan, Preya Shabrina, Alex Milliken, Ian Menezes, Veronica Cateté, Thomas W. Price, Tiffany Barnes:
Promoting Students' Progress-Monitoring Behavior during Block-Based Programming. Koli Calling 2021: 8:1-8:10 - [c47]Yang Shi
Toward Semi-Automatic Misconception Discovery Using Code Embeddings. LAK 2021: 606-612 - [c46]Thomas W. Price, Samiha Marwan, Joseph Jay Williams
Exploring Design Choices in Data-driven Hints for Python Programming Homework. L@S 2021: 283-286 - [c45]Alexandra Milliken, Wengran Wang, Veronica Cateté
PlanIT! A New Integrated Tool to Help Novices Design for Open-ended Projects. SIGCSE 2021: 232-238 - [c44]Ge Gao, Samiha Marwan, Thomas W. Price:
Early Performance Prediction using Interpretable Patterns in Programming Process Data. SIGCSE 2021: 342-348 - [c43]Alexander Card, Wengran Wang, Chris Martens
Scaffolding Game Design: Towards Tool Support for Planning Open-Ended Projects in an Introductory Game Design Class. VL/HCC 2021: 1-5 - [e2]Thomas W. Price, Sweet San Pedro:
Joint Proceedings of the Workshops at the International Conference on Educational Data Mining 2021 co-located with 14th International Conference on Educational Data Mining (EDM 2021), Held Virtually, 2021. CEUR Workshop Proceedings 3051, CEUR-WS.org 2021 [contents] - [i5]Ge Gao, Samiha Marwan, Thomas W. Price:
Early Performance Prediction using Interpretable Patterns in Programming Process Data. CoRR abs/2102.05765 (2021) - [i4]Yang Shi, Krupal Shah, Wengran Wang, Samiha Marwan, Poorvaja Penmetsa, Thomas W. Price:
Toward Semi-Automatic Misconception Discovery Using Code Embeddings. CoRR abs/2103.04448 (2021) - [i3]Wengran Wang, Archit Kwatra, James Skripchuk, Neeloy Gomes, Alexandra Milliken, Chris Martens, Tiffany Barnes, Thomas W. Price:
Novices' Learning Barriers When Using Code Examples in Open-Ended Programming. CoRR abs/2104.11806 (2021) - [i2]Wengran Wang, Chenhao Zhang, Andreas Stahlbauer, Gordon Fraser, Thomas W. Price:
SnapCheck: Automated Testing for Snap Programs. CoRR abs/2104.11812 (2021) - 2020
- [c42]Thomas W. Price
An Evaluation of Data-Driven Programming Hints in a Classroom Setting. AIED (2) 2020: 246-251 - [c41]Thomas W. Price, Joseph Jay Williams
Engaging Students with Instructor Solutions in Online Programming Homework. CHI 2020: 1-7 - [c40]Ye Mao, Samiha Marwan, Thomas W. Price, Tiffany Barnes, Min Chi:
What Time is It? Student Modeling Needs to Know. EDM 2020 - [c39]Samiha Marwan, Thomas W. Price, Min Chi, Tiffany Barnes:
Immediate Data-Driven Positive Feedback Increases Engagement on Programming Homework for Novices. CSEDM@EDM 2020 - [c38]Preya Shabrina, Samiha Marwan, Min Chi, Thomas W. Price, Tiffany Barnes:
The Impact of Data-driven Positive Programming Feedback: When it Helps, What Happens when it Goes Wrong, and How Students Respond. CSEDM@EDM 2020 - [c37]Wengran Wang, Yudong Rao, Yang Shi, Alexandra Milliken, Chris Martens, Tiffany Barnes, Thomas W. Price:
Comparing Feature Engineering Approaches to Predict Complex Programming Behaviors. CSEDM@EDM 2020 - [c36]Samiha Marwan, Ge Gao, Susan R. Fisk, Thomas W. Price, Tiffany Barnes:
Adaptive Immediate Feedback Can Improve Novice Programming Engagement and Intention to Persist in Computer Science. ICER 2020: 194-203 - [c35]Samiha Marwan, Anay Dombe, Thomas W. Price
Unproductive Help-seeking in Programming: What it is and How to Address it. ITiCSE 2020: 54-60 - [c34]Thomas W. Price, David Hovemeyer, Kelly Rivers, Ge Gao, Austin Cory Bart, Ayaan M. Kazerouni
ProgSnap2: A Flexible Format for Programming Process Data. ITiCSE 2020: 356-362 - [c33]Wengran Wang, Yudong Rao, Rui Zhi, Samiha Marwan, Ge Gao, Thomas W. Price:
Step Tutor: Supporting Students through Step-by-Step Example-Based Feedback. ITiCSE 2020: 391-397 - [c32]Peter Brusilovsky, Ken Koedinger, David A. Joyner, Thomas W. Price:
Building an Infrastructure for Computer Science Education Research and Practice at Scale. L@S 2020: 211-213 - [c31]Thomas W. Price, Baker Franke, Shuchi Grover, Monica M. McGill
Using Data to Inform Computing Education Research and Practice. SIGCSE 2020: 175-176 - [c30]Wengran Wang, Rui Zhi, Alexandra Milliken, Nicholas Lytle
Crescendo: Engaging Students to Self-Paced Programming Practices. SIGCSE 2020: 859-865 - [e1]Thomas W. Price, Peter Brusilovsky, Sharon I-Han Hsiao, Ken Koedinger, Yang Shi:
Proceedings of 4th Educational Data Mining in Computer Science Education (CSEDM) Workshop co-located with the 13th Educational Data Mining Conference (EDM 2020), Virtual Event, July 10, 2020. CEUR Workshop Proceedings 2734, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [j1]Thomas W. Price
A Comparison of the Quality of Data-Driven Programming Hint Generation Algorithms. Int. J. Artif. Intell. Educ. 29(3): 368-395 (2019) - [c29]Ye Mao, Rui Zhi, Farzaneh Khoshnevisan, Thomas W. Price, Tiffany Barnes, Min Chi:
One minute is enough: Early Prediction of Student Success and Event-level Difficulty during Novice Programming Tasks. EDM 2019 - [c28]Rui Zhi, Samiha Marwan, Yihuan Dong, Nicholas Lytle, Thomas W. Price, Tiffany Barnes:
Toward Data-Driven Example Feedback for Novice Programming. EDM 2019 - [c27]Rui Zhi, Min Chi, Tiffany Barnes, Thomas W. Price
Evaluating the Effectiveness of Parsons Problems for Block-based Programming. ICER 2019: 51-59 - [c26]Samiha Marwan, Joseph Jay Williams, Thomas W. Price
An Evaluation of the Impact of Automated Programming Hints on Performance and Learning. ICER 2019: 61-70 - [c25]Samiha Marwan, Nicholas Lytle
The Impact of Adding Textual Explanations to Next-step Hints in a Novice Programming Environment. ITiCSE 2019: 520-526 - [c24]Rui Zhi
Exploring the Impact of Worked Examples in a Novice Programming Environment. SIGCSE 2019: 98-104 - [c23]Yihuan Dong, Samiha Marwan, Veronica Cateté
Defining Tinkering Behavior in Open-ended Block-based Programming Assignments. SIGCSE 2019: 1204-1210 - 2018
- [c22]Thomas W. Price
The Impact of Data Quantity and Source on the Quality of Data-Driven Hints for Programming. AIED (1) 2018: 476-490 - [c21]Rui Zhi
Exploring Instructional Support Design in an Educational Game for K-12 Computing Education. SIGCSE 2018: 747-752 - [c20]Thomas W. Price
iSnap: Automatic Hints and Feedback for Block-based Programming (Abstract Only). SIGCSE 2018: 1113 - 2017
- [c19]Thomas W. Price
Hint Generation Under Uncertainty: The Effect of Hint Quality on Help-Seeking Behavior. AIED 2017: 311-322 - [c18]Thomas W. Price, Rui Zhi, Tiffany Barnes:
Evaluation of a Data-driven Feedback Algorithm for Open-ended Programming. EDM 2017 - [c17]Thomas W. Price
Factors Influencing Students' Help-Seeking Behavior while Programming with Human and Computer Tutors. ICER 2017: 127-135 - [c16]Thomas W. Price
iSnap: Towards Intelligent Tutoring in Novice Programming Environments. SIGCSE 2017: 483-488 - [c15]Thomas W. Price
Sharing and Using Programming Log Data (Abstract Only). SIGCSE 2017: 729 - [c14]Thomas W. Price, Tiffany Barnes:
Showpiece: ISnap demonstration. VL/HCC 2017: 339-340 - [i1]Benjamin Paaßen, Barbara Hammer
The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces. CoRR abs/1708.06564 (2017) - 2016
- [c13]Guojing Zhou, Collin F. Lynch, Thomas W. Price, Tiffany Barnes, Min Chi:
The Impact of Granularity on the Effectiveness of Students' Pedagogical Decisions. CogSci 2016 - [c12]Thomas W. Price, Yihuan Dong, Tiffany Barnes:
Generating Data-driven Hints for Open-ended Programming. EDM 2016: 191-198 - [c11]Thomas W. Price
Evaluation of a Frame-based Programming Editor. ICER 2016: 33-42 - [c10]Thomas W. Price
Lessons Learned from "BJC" CS Principles Professional Development. SIGCSE 2016: 467-472 - [c9]Shannon Duvall, Daniel R. Eagle, Riese P. Narcisse, Thomas W. Price
Clashroom: A Game to Enhance the Classroom Experience (Abstract Only). SIGCSE 2016: 692 - 2015
- [c8]Thomas W. Price, Tiffany Barnes:
Creating Data-Driven Feedback for Novices in Goal-Driven Programming Projects. AIED 2015: 856-859 - [c7]Guojing Zhou, Thomas W. Price, Collin F. Lynch, Tiffany Barnes, Min Chi:
The Impact of Granularity on Worked Examples and Problem Solving. CogSci 2015 - [c6]Collin F. Lynch, Thomas W. Price, Min Chi, Tiffany Barnes:
Using the Hint Factory to Compare Model-Based Tutoring Systems. EDM (Workshops) 2015 - [c5]Thomas W. Price, Tiffany Barnes:
An Exploration of Data-Driven Hint Generation in an Open-Ended Programming Problem. EDM (Workshops) 2015 - [c4]Thomas W. Price, Collin F. Lynch, Tiffany Barnes, Min Chi:
An Improved Data-Driven Hint Selection Algorithm for Probability Tutors. EDM 2015: 610-611 - [c3]Thomas W. Price
Comparing Textual and Block Interfaces in a Novice Programming Environment. ICER 2015: 91-99 - [c2]Thomas W. Price
Integrating Intelligent Feedback into Block Programming Environments. ICER 2015: 275-276 - 2014
- [c1]Thomas William Price, R. Michael Young:
Towards an Extended Declarative Representation for Camera Planning. WICED@AAAI 2014
Coauthor Index
[c86] [c80] [c79] [c77] [c76] [c75] [c74] [c73] [c70] [c69] [j2] [c68] [c67] [c65] [c63] [c62] [c60] [c59] [c58] [i7] [i6] [c57] [c56] [c55] [c54] [c52] [c51] [c49] [c48] [c45] [i3] [c40] [c39] [c38] [c37] [c36] [j1] [c29] [c28] [c27] [c24] [c23] [c22] [c19] [c18] [c17] [c14] [i1] [c13] [c12] [c11] [c10] [c8] [c7] [c6] [c5] [c4] [c3]
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last updated on 2024-12-04 20:16 CET by the dblp team
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