James P. Bywater

According to our database, James P. Bywater authored at least 13 papers between 2018 and 2025.

Collaborative distances:

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

2025

Labeling Disagreements: Illuminating the Classification of Mathematics Teacher Questions.

James P. Bywater, Sarah Lilly, Jennifer L. Chiu

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

MisstepMath: A Diverse Student Mistake Dataset for AI in Mathematics Teacher Training.

Shahina Mohd Azam Ansari, James P. Bywater, Sarah Lilly, Donald E. Brown, Jennifer L. Chiu

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

2023

Classifying Mathematics Teacher Questions to Support Mathematical Discourse.

Debajyoti Datta, James P. Bywater, Maria Phillips, Sarah Lilly, Jennifer L. Chiu, Ginger S. Watson, Donald E. Brown

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022

Exploring experienced designers' strategies in a CAD learning environment.

Anne M. McAlister, James P. Bywater, Jennifer L. Chiu

Comput. Appl. Eng. Educ., 2022

Human-in-the-Loop Data Collection and Evaluation for Improving Mathematical Conversations.

Debajyoti Datta, Maria Phillips, James P. Bywater, Sarah Lilly, Jennifer L. Chiu, Ginger S. Watson, Donald E. Brown

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

2021

Improving mathematical questioning in teacher training.

Debajyoti Datta, Maria Phillips, James P. Bywater, Jennifer L. Chiu, Ginger S. Watson, Laura E. Barnes, Donald E. Brown

CoRR, 2021

Evaluation of mathematical questioning strategies using data collected through weak supervision.

Debajyoti Datta, Maria Phillips, James P. Bywater, Jennifer L. Chiu, Ginger S. Watson, Laura E. Barnes, Donald E. Brown

CoRR, 2021

Virtual Pre-Service Teacher Assessment and Feedback via Conversational Agents.

Debajyoti Datta, Maria Phillips, James P. Bywater, Jennifer L. Chiu, Ginger S. Watson, Laura E. Barnes, Donald E. Brown

Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications, 2021

DiSCS: A New Sequence Segmentation Method for Open-Ended Learning Environments.

James P. Bywater, Mark Floryan, Jennifer L. Chiu

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020

Improving Classification through Weak Supervision in Context-specific Conversational Agent Development for Teacher Education.

Debajyoti Datta, Maria Phillips, Jennifer L. Chiu, Ginger S. Watson, James P. Bywater, Laura E. Barnes, Donald E. Brown

CoRR, 2020

2019

The Teacher Responding Tool: Scaffolding the teacher practice of responding to student ideas in mathematics classrooms.

James P. Bywater, Jennifer L. Chiu, James Hong, Vidhya Sankaranarayanan

Comput. Educ., 2019

2018

Knowledge Integration in the Digital Age: Trajectories, Opportunities and Future Directions.

Marcia C. Linn, Bat-Sheva Eylon, Adi Kidron, Libby F. Gerard, Emily Toutkoushian, Kihyun, Kristin Dana Bedell Bedell, Amanda Swearingen, Douglas B. Clark, Satyugjit Virk, Jackie Barnes, Deanne Adams, Hava Ben-Horin, Yael Kali, Tali Tal, Ornit Sagy, Alisa Acosta, Jim Slotta, Camillia Matuk, Christopher M. Hovey, Talia A. Hurwich, Juan Pablo Sarmiento, Jennifer L. Chiu, James P. Bywater, James Hong, Jonathan Osborne, Diana Laurillard

Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

Using Machine Learning Techniques to Capture Engineering Design Behaviors.

James P. Bywater, Mark Floryan, Jennifer L. Chiu, Jie Chao, Corey Schimpf, Charles Xie, Camilo Vieira, Alejandra J. Magana, Chandan Dasgupta

Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018