Thomas William Price

Platform-based Adaptive Experimental Research in Education Lessons Learned from The Digital Learning Challenge

FIFTEENTH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE, LAK 2025, pp. 13–23.

An Investigation of the Drivers of Novice Programmers' Intentions to Use Web Search and GenAI

20TH ANNUAL ACM CONFERENCE ON INTERNATIONAL COMPUTING EDUCATION RESEARCH, ICER 2024, VOL 1, pp. 487–501.

Are Engineering Students Motivated by Interacting With Simulations They Program? A Controlled Study

Bacher, J., Price, T., Skripchuk, J., Wang, W., Shi, Y., & Tran, K. (2024, December 5).

Detecting ChatGPT-Generated Code Submissions in a CS1 Course Using Machine Learning Models

PROCEEDINGS OF THE 55TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, SIGCSE 2024, VOL. 1, pp. 526–532.

Evaluating the Effectiveness of a Testing Checklist Intervention in CS2: An Quasi-experimental Replication Study

20TH ANNUAL ACM CONFERENCE ON INTERNATIONAL COMPUTING EDUCATION RESEARCH, ICER 2024, VOL 1, pp. 55–64.

Experience Helps, but It Isn't Everything: Exploring Causes of Affective State in Novice Programmers

Reichert, H., Sthapit, S., Tabarsi, B. T., Limke, A., Price, T., & Barnes, T. (2024, March 14).

Idea Builder: Motivating Idea Generation and Planning for Open-Ended Programming Projects through Storyboarding

PROCEEDINGS OF THE 55TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, SIGCSE 2024, VOL. 1, pp. 1402–1408.

Jigsaw: A Tool for Decomposing and Planning Programming Problems

2024 IEEE SYMPOSIUM ON VISUAL LANGUAGES AND HUMAN-CENTRIC COMPUTING, VL/HCC 2024, pp. 236–247.

Ninth SPLICE Workshop on Technology and Data Infrastructure for CS Education Research

Shaffer, C., Brusilovsky, P., Koedinger, K., Price, T., Barnes, T., & Mostafavi, B. (2024, March 14).

Novices' Perceptions of Web-Search and AI for Programming

Skripchuk, J., Bacher, J., Shi, Y., Tran, K., & Price, T. (2024, March 14).

Overcoming Barriers in Scaling Computing Education Research Programming Tools: A Developer's Perspective

20TH ANNUAL ACM CONFERENCE ON INTERNATIONAL COMPUTING EDUCATION RESEARCH, ICER 2024, VOL 1, pp. 312–325.

A Case Study on When and How Novices Use Code Examples in Open-Ended Programming

PROCEEDINGS OF THE 2023 CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, ITICSE 2023, VOL 1, pp. 82–88.

An Experience Report on Introducing Explicit Strategies into Testing Checklists for Advanced Beginners

PROCEEDINGS OF THE 2023 CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, ITICSE 2023, VOL 1, pp. 194–200.

Analysis of Novices' Web-Based Help-Seeking Behavior While Programming

PROCEEDINGS OF THE 54TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, VOL 1, SIGCSE 2023, pp. 945–951.

Do Intentions to Persist Predict Short-Term Computing Course Enrollments? A Scale Development, Validation, and Reliability Analysis

PROCEEDINGS OF THE 54TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, VOL 1, SIGCSE 2023, pp. 1062–1068.

Exploring Novices' Struggle and Progress during Programming through Data-Driven Detectors and Think-Aloud Protocols

2023 IEEE SYMPOSIUM ON VISUAL LANGUAGES AND HUMAN-CENTRIC COMPUTING, VL/HCC, pp. 179–183.

Investigating the Impact of On-Demand Code Examples on Novices' Open-Ended Programming Projects

PROCEEDINGS OF THE 2023 ACM CONFERENCE ON INTERNATIONAL COMPUTING EDUCATION RESEARCH V.1, ICER 2023 V1, pp. 464–475.

Adaptive Immediate Feedback for Block-Based Programming: Design and Evaluation

IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 15(3), 406–420.

Case Studies on the use of Storyboarding by Novice Programmers

PROCEEDINGS OF THE 27TH ACM CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, ITICSE 2022, VOL 1, pp. 318–324.

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 INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, ITICSE 2022, VOL 1, pp. 276–282.

Exploring Design Choices to Support Novices' Example Use During Creative Open-Ended Programming

PROCEEDINGS OF THE 53RD ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION (SIGCSE 2022), VOL 1, pp. 619–625.

Identifying Common Errors in Open-Ended Machine Learning Projects

PROCEEDINGS OF THE 53RD ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION (SIGCSE 2022), VOL 1, Vol. 1, pp. 216–222.

Increasing Students' Persistence in Computer Science through a Lightweight Scalable Intervention

PROCEEDINGS OF THE 27TH ACM CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, ITICSE 2022, VOL 1, pp. 526–532.

iSnap: Evolution and Evaluation of a Data-Driven Hint System for Block-Based Programming

IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 16(3), 399–413.

PlanIT! A New Integrated Tool to Help Novices Design for Open-ended Projects

SIGCSE 2021 - Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, 232–238.

Scaffolding Game Design: Towards Tool Support for Planning Open-Ended Projects in an Introductory Game Design Class

2021 IEEE SYMPOSIUM ON VISUAL LANGUAGES AND HUMAN-CENTRIC COMPUTING (VL/HCC 2021).

Toward Semi-Automatic Misconception Discovery Using Code Embeddings

LAK21 CONFERENCE PROCEEDINGS: THE ELEVENTH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE, pp. 606–612.

Adaptive Immediate Feedback Can Improve Novice Programming Engagement and Intention to Persist in Computer Science

Proceedings of the International Computing Education Research Conference, 1–10.

An Evaluation of Data-Driven Programming Hints in a Classroom Setting

In Lecture Notes in Computer Science (pp. 246–251).

Crescendo : Engaging Students to Self-Paced Programming Practices

Proceedings of the ACM Technical Symposium on Computer Science Education.

Engaging Students with Instructor Solutions in Online Programming Homework

PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20).

Engaging Students with Instructor Solutions in Online Programming Homework

ACM CHI Conference on Human Factors in Computing Systems. Presented at the Honolulu, HI, USA. Honolulu, HI, USA.

Step Tutor: Supporting Students through Step-by-Step Example-Based Feedback

Proceedings of the International Conference on Innovation and Technology in Computer Science Education.

Unproductive Help-seeking in Programming: What it is and How to Address it

Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education.

A Comparison of the Quality of Data-Driven Programming Hint Generation Algorithms

International Journal of Artificial Intelligence in Education, 29(3), 368–395.

An Evaluation of the Impact of Automated Programming Hints on Performance and Learning

Proceedings of the 2019 ACM Conference on International Computing Education Research, 61–70.

Defining Tinkering Behavior in Open-ended Block-based Programming Assignments

Proceedings of the 50th ACM Technical Symposium on Computer Science Education - SIGCSE '19, 1204–1210.

Evaluating the Effectiveness of Parsons Problems for Block-based Programming

Proceedings of the 2019 ACM Conference on International Computing Education Research - ICER '19, 51–59.

Exploring the Impact of Worked Examples in a Novice Programming Environment

Proceedings of the 50th ACM Technical Symposium on Computer Science Education - SIGCSE '19, 98–104.

The Impact of Adding Textual Explanations to Next-Step Hints in a Novice Programming Environment

Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, 520–526.

Toward Data-Driven Example Feedback for Novice Programming

Proceedings of the International Conference on Educational Data Mining, 218–227.

Exploring Instructional Support Design in an Educational Game for K-12 Computing Education

Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 747–752.

The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces

Journal of Educational Data Mining, 10(1), 1–35.

The Impact of Data Quantity and Source on the Quality of Data-Driven Hints for Programming

In Lecture Notes in Computer Science (pp. 476–490).

iSnap: Automatic Hints and Feedback for Block-based Programming

SIGCSE'18: PROCEEDINGS OF THE 49TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, pp. 1113–1113.

Evaluation of a Data-driven Feedback Algorithm for Open-ended Programming

Proceedings of the International Conference on Educational Data Mining.

Factors Influencing Students' Help-Seeking Behavior while Programming with Human and Computer Tutors

PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INTERNATIONAL COMPUTING EDUCATION RESEARCH (ICER 17), pp. 127–135.

Hint Generation Under Uncertainty: The Effect of Hint Quality on Help-Seeking Behavior

ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2017, Vol. 10331, pp. 311–322.

Position paper: Block-based programming should offer intelligent support for learners

2017 IEEE Blocks and Beyond Workshop (B&B), 65–68.

Sharing and Using Programming Log Data (Abstract Only)

Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 729.

iSnap: Towards Intelligent Tutoring in Novice Programming Environments.

SIGCSE '17: Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 483–488.

Clashroom: A Game to Enhance the Classroom Experience (Abstract Only)

Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 692.

Evaluation of a Frame-based Programming Editor

PROCEEDINGS OF THE 2016 ACM CONFERENCE ON INTERNATIONAL COMPUTING EDUCATION RESEARCH (ICER'16), pp. 33–42.

Generating data-driven hints for open-ended programming

Proceedings of the 9th International Conference on Educational Data Mining, International Educational Data Mining Society, 191–198.

Lessons Learned from "BJC" CS Principles Professional Development

Proceedings of the 47th ACM Technical Symposium on Computing Science Education - SIGCSE '16, 467–472.

Question Answering in the Context of Stories Generated by Computers

Advances in Cognitive Systems, 4, 227–245.

An Exploration of Data-Driven Hint Generation in an Open-Ended Programming Problem

International Workshop on Graph-Based Educational Data Mining.

An Improved Data-Driven Hint Selection Algorithm for Probability Tutors

The 8th International Conference on Education Data Mining.

BJC in action: Comparison of student perceptions of a computer science principles course

2015 Research in Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT), 1–4.

Comparing Textual and Block Interfaces in a Novice Programming Environment

Proceedings of the eleventh annual International Conference on International Computing Education Research - ICER '15, 91–99.

Creating Data-Driven Feedback for Novices in Goal-Driven Programming Projects

ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2015, Vol. 9112, pp. 856–859.

Creating data-driven feedback for novices in goal-driven programming projects

International Conference on Artificial Intelligence in Education, 856–859.

Integrating Intelligent Feedback into Block Programming Environments

Proceedings of the Eleventh Annual International Conference on International Computing Education Research, 275–276.

The Impact of Granularity on Worked Examples and Problem Solving

Annual Meeting of the Cognitive Science Society (CogSci).

Using the Hint Factory to Compare Model-based Tutoring Systems

International Workshop on Graph-Based Educational Data Mining.

Towards an Extended Declarative Representation for Camera Planning

Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence.

The Impact of Granularity on the Effectiveness of Students’ Pedagogical Decision

Zhou, G., Lynch, C. F., Price, T. W., Barnes, T., & Chi, M.