Thomas W. Price

According to our database, Thomas W. Price authored at least 93 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Jigsaw: A Tool for Decomposing and Planning Programming Problems.

Heidi Reichert, Benyamin T. Tabarsi, Thomas W. Price, Tiffany Barnes

Proceedings of the 2024 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2024

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

Wengran Wang, Ally Limke, Mahesh Bobbadi, Amy Isvik, Veronica Cateté, Tiffany Barnes, Thomas W. Price

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Novices' Perceptions of Web-Search and AI for Programming.

James Skripchuk, John Bacher, Yang Shi, Keith Tran, Thomas W. Price

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

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

Clifford A. Shaffer, Peter Brusilovsky, Ken Koedinger, Thomas W. Price, Tiffany Barnes, Behrooz Mostafavi

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

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

Heidi Reichert, Sandeep Sthapit, Benyamin T. Tabarsi, Ally Limke, Thomas W. Price, Tiffany Barnes

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

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

Muntasir Hoq, Yang Shi, Juho Leinonen, Damilola Babalola, Collin F. Lynch, Thomas W. Price, Bita Akram

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

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

Keith Tran, John Bacher, Yang Shi, James Skripchuk, Thomas W. Price

Proceedings of the 2024 ACM Conference on International Computing Education Research, 2024

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

James Skripchuk, John Bacher, Thomas W. Price

Proceedings of the 2024 ACM Conference on International Computing Education Research, 2024

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

Gina R. Bai, Zuoxuan Jiang, Thomas W. Price, Kathryn T. Stolee

Proceedings of the 2024 ACM Conference on International Computing Education Research, 2024

Evaluating Multi-Knowledge Component Interpretability of Deep Knowledge Tracing Models in Programming.

Yang Shi, Min Chi, Tiffany Barnes, Thomas W. Price

Proceedings of the 17th International Conference on Educational Data Mining, 2024

8th Educational Data Mining in Computer Science Education (CSEDM) Workshop.

Yang Shi, Peter Brusilovsky, Bita Akram, Thomas W. Price, Juho Leinonen, Kenneth R. Koedinger, Andrew S. Lan

Proceedings of the 17th International Conference on Educational Data Mining, 2024

Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming.

Zhengdong Zhang, Zihan Dong, Yang Shi, Thomas W. Price, Noboru Matsuda, Dongkuan Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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

Samiha Marwan, Thomas W. Price

IEEE Trans. Learn. Technol., June, 2023

Exploring Novices' Struggle and Progress During Programming Through Data-Driven Detectors and Think-Aloud Protocols.

Benyamin T. Tabarsi, Heidi Reichert, Rachel Qualls, Thomas W. Price, Tiffany Barnes

Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2023

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

James Skripchuk, Neil Bennett, Jeffrey Zhang, Eric Li, Thomas W. Price

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

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

Rachel Harred, Tiffany Barnes, Susan R. Fisk, Bita Akram, Thomas W. Price, Spencer Yoder

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

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

Wengran Wang, Yudong Rao, Archit Kwatra, Alexandra Milliken, Yihuan Dong, Neeloy Gomes, Sarah Martin, Veronica Cateté, Amy Isvik, Tiffany Barnes, Chris Martens, Thomas W. Price

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

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

Gina R. Bai, Sandeep Sthapit, Sarah Heckman, Thomas W. Price, Kathryn T. Stolee

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

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

Wengran Wang, John Bacher, Amy Isvik, Ally Limke, Sandeep Sthapit, Yang Shi, Benyamin T. Tabarsi, Keith Tran, Veronica Cateté, Tiffany Barnes, Chris Martens, Thomas W. Price

Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

KC-Finder: Automated Knowledge Component Discovery for Programming Problems.

Yang Shi, Robin Schmucker, Min Chi, Tiffany Barnes, Thomas W. Price

Proceedings of the 16th International Conference on Educational Data Mining, 2023

2022

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

Samiha Marwan, Bita Akram, Tiffany Barnes, Thomas W. Price

IEEE Trans. Learn. Technol., 2022

A Multicriteria Evaluation for Data-Driven Programming Feedback Systems: Accuracy, Effectiveness, Fallibility, and Students' Response.

Preya Shabrina, Samiha Marwan, Andrew Bennison, Min Chi, Thomas W. Price, Tiffany Barnes

CoRR, 2022

Pinpoint: A Record, Replay, and Extract System to Support Code Comprehension and Reuse.

Wengran Wang, Gordon Fraser, Mahesh Bobbadi, Benyamin T. Tabarsi, Tiffany Barnes, Chris Martens, Shuyin Jiao, Thomas W. Price

Proceedings of the 2022 IEEE Symposium on Visual Languages and Human-Centric Computing, 2022

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

Wengran Wang, Audrey Le Meur, Mahesh Bobbadi, Bita Akram, Tiffany Barnes, Chris Martens, Thomas W. Price

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Identifying Common Errors in Open-Ended Machine Learning Projects.

James Skripchuk, Yang Shi, Thomas W. Price

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Automating Personalized Feedback to Improve Students' Persistence in Computing.

Susan R. Fisk, Cynthia Hunt, Lina Battestilli, Bita Akram, Tiffany Barnes, Thomas W. Price, Spencer Yoder

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Case Studies on the Use of Storyboarding by Novice Programmers.

Ally Limke, Alexandra Milliken, Veronica Cateté, Isabella Gransbury, Amy Isvik, Thomas W. Price, Chris Martens, Tiffany Barnes

Proceedings of the ITiCSE 2022: Innovation and Technology in Computer Science Education, Dublin, Ireland, July 8, 2022

Check It Off: Exploring the Impact of a Checklist Intervention on the Quality of Student-authored Unit Tests.

Gina R. Bai, Kai Presler-Marshall, Thomas W. Price, Kathryn T. Stolee

Proceedings of the ITiCSE 2022: Innovation and Technology in Computer Science Education, Dublin, Ireland, July 8, 2022

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

Bita Akram, Susan R. Fisk, Spencer Yoder, Cynthia Hunt, Thomas W. Price, Lina Battestilli, Tiffany Barnes

Proceedings of the ITiCSE 2022: Innovation and Technology in Computer Science Education, Dublin, Ireland, July 8, 2022

Gender, Self-Assessment, and Persistence in Computing: How gender differences in self-assessed ability reduce women's persistence in computer science.

Cynthia Hunt, Spencer Yoder, Taylor Comment, Thomas W. Price, Bita Akram, Lina Battestilli, Tiffany Barnes, Susan R. Fisk

Proceedings of the ICER 2022: ACM Conference on International Computing Education Research, Lugano and Virtual Event, Switzerland, August 7, 2022

6th Educational Data Mining in Computer Science Education (CSEDM) Workshop.

Bita Akram, Thomas W. Price, Yang Shi, Peter Brusilovsky, Sharon I-Han Hsiao

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks.

Yang Shi, Min Chi, Tiffany Barnes, Thomas W. Price

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Cross-Lingual Adversarial Domain Adaptation for Novice Programming.

Ye Mao, Farzaneh Khoshnevisan, Thomas W. Price, Tiffany Barnes, Min Chi

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

SnapCheck: Automated Testing for Snap Programs.

Wengran Wang, Chenhao Zhang, Andreas Stahlbauer, Gordon Fraser, Thomas W. Price

CoRR, 2021

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

Alexander Card, Wengran Wang, Chris Martens, Thomas W. Price

Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2021

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

Alexandra Milliken, Wengran Wang, Veronica Cateté, Sarah Martin, Neeloy Gomes, Yihuan Dong, Rachel Harred, Amy Isvik, Tiffany Barnes, Thomas W. Price, Chris Martens

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

Early Performance Prediction using Interpretable Patterns in Programming Process Data.

Ge Gao, Samiha Marwan, Thomas W. Price

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

Exploring Design Choices in Data-driven Hints for Python Programming Homework.

Thomas W. Price, Samiha Marwan, Joseph Jay Williams

Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Toward Semi-Automatic Misconception Discovery Using Code Embeddings.

Yang Shi, Krupal Shah, Wengran Wang, Samiha Marwan, Poorvaja Penmetsa, Thomas W. Price

Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

Promoting Students' Progress-Monitoring Behavior during Block-Based Programming.

Samiha Marwan, Preya Shabrina, Alex Milliken, Ian Menezes, Veronica Cateté, Thomas W. Price, Tiffany Barnes

Proceedings of the Koli Calling '21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18, 2021

SnapCheck: Automated Testing for Snap<i>!</i> Programs.

Wengran Wang, Chenhao Zhang, Andreas Stahlbauer, Gordon Fraser, Thomas W. Price

Proceedings of the ITiCSE '21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V.1, Virtual Event, Germany, June 26, 2021

Novices' Learning Barriers When Using Code Examples in Open-Ended Programming.

Wengran Wang, Archit Kwatra, James Skripchuk, Neeloy Gomes, Alexandra Milliken, Chris Martens, Tiffany Barnes, Thomas W. Price

Proceedings of the ITiCSE '21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V.1, Virtual Event, Germany, June 26, 2021

Execution-Trace-Based Feature Engineering To Enable Formative Feedback on Visual, Interactive Programs (Full Paper).

Wengran Wang, Gordon Fraser, Tiffany Barnes, Chris Martens, Thomas W. Price

Proceedings of the 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), 2021

Execution Trace Based Feature Engineering To Enable Formative Feedback on Visual, Interactive Programs.

Wengran Wang, Gordon Fraser, Tiffany Barnes, Chris Martens, Thomas W. Price

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Investigate Effectiveness of Code Features in Knowledge Tracing Task on Novice Programming Course. (Work in Progress).

Poorvaja Penmetsa, Yang Shi, Thomas W. Price

Proceedings of the 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), 2021

Just a Few Expert Constraints Can Help: Humanizing Data-Driven Subgoal Detection for Novice Programming.

Samiha Marwan, Yang Shi, Ian Menezes, Min Chi, Tiffany Barnes, Thomas W. Price

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Knowing both when and where: Temporal-ASTNN for Early Prediction of Student Success in Novice Programming Tasks.

Ye Mao, Yang Shi, Samiha Marwan, Thomas W. Price, Tiffany Barnes, Min Chi

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Using Student Trace Logs To Determine Meaningful Progress and Struggle During Programming Problem Solving.

Yihuan Dong, Samiha Marwan, Preya Shabrina, Tiffany Barnes, Thomas W. Price

Proceedings of the 14th International Conference on Educational Data Mining, 2021

More With Less: Exploring How to Use Deep Learning Effectively through Semi-supervised Learning for Automatic Bug Detection in Student Code.

Yang Shi, Ye Mao, Tiffany Barnes, Min Chi, Thomas W. Price

Proceedings of the 14th International Conference on Educational Data Mining, 2021

2020

Crescendo: Engaging Students to Self-Paced Programming Practices.

Wengran Wang, Rui Zhi, Alexandra Milliken, Nicholas Lytle, Thomas W. Price

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

Using Data to Inform Computing Education Research and Practice.

Thomas W. Price, Baker Franke, Shuchi Grover, Monica M. McGill

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

Building an Infrastructure for Computer Science Education Research and Practice at Scale.

Peter Brusilovsky, Ken Koedinger, David A. Joyner, Thomas W. Price

Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

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

Wengran Wang, Yudong Rao, Rui Zhi, Samiha Marwan, Ge Gao, Thomas W. Price

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

ProgSnap2: A Flexible Format for Programming Process Data.

Thomas W. Price, David Hovemeyer, Kelly Rivers, Ge Gao, Austin Cory Bart, Ayaan M. Kazerouni, Brett A. Becker, Andrew Petersen, Luke Gusukuma, Stephen H. Edwards, David Babcock

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

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

Samiha Marwan, Anay Dombe, Thomas W. Price

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

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

Samiha Marwan, Ge Gao, Susan R. Fisk, Thomas W. Price, Tiffany Barnes

Proceedings of the ICER 2020: International Computing Education Research Conference, 2020

Comparing Feature Engineering Approaches to Predict Complex Programming Behaviors.

Wengran Wang, Yudong Rao, Yang Shi, Alexandra Milliken, Chris Martens, Tiffany Barnes, Thomas W. Price

Proceedings of 4th Educational Data Mining in Computer Science Education (CSEDM) Workshop co-located with the 13th Educational Data Mining Conference (EDM 2020), 2020

The Impact of Data-driven Positive Programming Feedback: When it Helps, What Happens when it Goes Wrong, and How Students Respond.

Preya Shabrina, Samiha Marwan, Min Chi, Thomas W. Price, Tiffany Barnes

Proceedings of 4th Educational Data Mining in Computer Science Education (CSEDM) Workshop co-located with the 13th Educational Data Mining Conference (EDM 2020), 2020

Immediate Data-Driven Positive Feedback Increases Engagement on Programming Homework for Novices.

Samiha Marwan, Thomas W. Price, Min Chi, Tiffany Barnes

Proceedings of 4th Educational Data Mining in Computer Science Education (CSEDM) Workshop co-located with the 13th Educational Data Mining Conference (EDM 2020), 2020

What Time is It? Student Modeling Needs to Know.

Ye Mao, Samiha Marwan, Thomas W. Price, Tiffany Barnes, Min Chi

Proceedings of the 13th International Conference on Educational Data Mining, 2020

Engaging Students with Instructor Solutions in Online Programming Homework.

Thomas W. Price, Joseph Jay Williams, Jaemarie Solyst, Samiha Marwan

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

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

Thomas W. Price, Samiha Marwan, Michael Winters, Joseph Jay Williams

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

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

Thomas W. Price, Yihuan Dong, Rui Zhi, Benjamin Paaßen, Nicholas Lytle, Veronica Cateté, Tiffany Barnes

Int. J. Artif. Intell. Educ., 2019

Exploring the Impact of Worked Examples in a Novice Programming Environment.

Rui Zhi, Thomas W. Price, Samiha Marwan, Alexandra Milliken, Tiffany Barnes, Min Chi

Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019

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

Yihuan Dong, Samiha Marwan, Veronica Cateté, Thomas W. Price, Tiffany Barnes

Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019

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

Samiha Marwan, Nicholas Lytle, Joseph Jay Williams, Thomas W. Price

Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, 2019

Evaluating the Effectiveness of Parsons Problems for Block-based Programming.

Rui Zhi, Min Chi, Tiffany Barnes, Thomas W. Price

Proceedings of the 2019 ACM Conference on International Computing Education Research, 2019

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

Samiha Marwan, Joseph Jay Williams, Thomas W. Price

Proceedings of the 2019 ACM Conference on International Computing Education Research, 2019

Toward Data-Driven Example Feedback for Novice Programming.

Rui Zhi, Samiha Marwan, Yihuan Dong, Nicholas Lytle, Thomas W. Price, Tiffany Barnes

Proceedings of the 12th International Conference on Educational Data Mining, 2019

One minute is enough: Early Prediction of Student Success and Event-level Difficulty during Novice Programming Tasks.

Ye Mao, Rui Zhi, Farzaneh Khoshnevisan, Thomas W. Price, Tiffany Barnes, Min Chi

Proceedings of the 12th International Conference on Educational Data Mining, 2019

2018

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

Rui Zhi, Nicholas Lytle, Thomas W. Price

Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

iSnap: Automatic Hints and Feedback for Block-based Programming (Abstract Only).

Thomas W. Price

Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

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

Thomas W. Price, Rui Zhi, Yihuan Dong, Nicholas Lytle, Tiffany Barnes

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017

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

Benjamin Paaßen, Barbara Hammer, Thomas William Price, Tiffany Barnes, Sebastian Gross, Niels Pinkwart

CoRR, 2017

Showpiece: ISnap demonstration.

Thomas W. Price, Tiffany Barnes

Proceedings of the 2017 IEEE Symposium on Visual Languages and Human-Centric Computing, 2017

iSnap: Towards Intelligent Tutoring in Novice Programming Environments.

Thomas W. Price, Yihuan Dong, Dragan Lipovac

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

Sharing and Using Programming Log Data (Abstract Only).

Thomas W. Price, Neil C. C. Brown, Chris Piech, Kelly Rivers

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

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

Thomas W. Price, Zhongxiu Liu, Veronica Cateté, Tiffany Barnes

Proceedings of the 2017 ACM Conference on International Computing Education Research, 2017

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

Thomas W. Price, Rui Zhi, Tiffany Barnes

Proceedings of the 10th International Conference on Educational Data Mining, 2017

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

Thomas W. Price, Rui Zhi, Tiffany Barnes

Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017

2016

Lessons Learned from "BJC" CS Principles Professional Development.

Thomas W. Price, Veronica Cateté, Jennifer L. Albert, Tiffany Barnes, Daniel D. Garcia

Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016

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

Shannon Duvall, Daniel R. Eagle, Riese P. Narcisse, Thomas W. Price

Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016

Evaluation of a Frame-based Programming Editor.

Thomas W. Price, Neil C. C. Brown, Dragan Lipovac, Tiffany Barnes, Michael Kölling

Proceedings of the 2016 ACM Conference on International Computing Education Research, 2016

Generating Data-driven Hints for Open-ended Programming.

Thomas W. Price, Yihuan Dong, Tiffany Barnes

Proceedings of the 9th International Conference on Educational Data Mining, 2016

The Impact of Granularity on the Effectiveness of Students' Pedagogical Decisions.

Guojing Zhou, Collin F. Lynch, Thomas W. Price, Tiffany Barnes, Min Chi

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015

Comparing Textual and Block Interfaces in a Novice Programming Environment.

Thomas W. Price, Tiffany Barnes

Proceedings of the eleventh annual International Conference on International Computing Education Research, 2015

Integrating Intelligent Feedback into Block Programming Environments.

Thomas W. Price

Proceedings of the eleventh annual International Conference on International Computing Education Research, 2015

An Improved Data-Driven Hint Selection Algorithm for Probability Tutors.

Thomas W. Price, Collin F. Lynch, Tiffany Barnes, Min Chi

Proceedings of the 8th International Conference on Educational Data Mining, 2015

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

Thomas W. Price, Tiffany Barnes

Proceedings of the Workshops Proceedings of EDM 2015 8th International Conference on Educational Data Mining, 2015

Using the Hint Factory to Compare Model-Based Tutoring Systems.

Collin F. Lynch, Thomas W. Price, Min Chi, Tiffany Barnes

Proceedings of the Workshops Proceedings of EDM 2015 8th International Conference on Educational Data Mining, 2015

The Impact of Granularity on Worked Examples and Problem Solving.

Guojing Zhou, Thomas W. Price, Collin F. Lynch, Tiffany Barnes, Min Chi

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

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

Thomas W. Price, Tiffany Barnes

Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

2014

Towards an Extended Declarative Representation for Camera Planning.

Thomas William Price, R. Michael Young

Proceedings of the 3rd Workshop on Intelligent Cinematography and Editing, 2014