I design, development, and implement intelligent tools that support high-quality teaching and learning practices.
I’m interested in how artificial intelligence and natural language technologies can be used to promote student-centered pedagogies and diverse students’ access to deeper conceptual understanding.
Bywater, J. P., Chiu, J. L., & Watson, G. S. (2019). Assessing the Effectiveness of an Intelligent Tool that Supports Targeted Teacher Responses to Student Ideas. Proceedings of the International Convention of the Association for Educational Communications and Technology – Volume 1 (pp. 45-53). Oct 21-25. Las Vegas, NV.
Bywater, J. P., Chiu, J. L., Hong, J., & Sankaranarayanan, V. (2019). The Teacher Responding Tool: Scaffolding the teacher practice of responding to student ideas in mathematics classrooms. Computers & Education, 139, 16-30
Bywater, J. P., Chiu, J. L., Floryan, M., Chao, J., Schimpf, C., Xie, C., Vieira, C., Magana, A., and Dasgupta, C. (2018). Using Machine Learning Techniques to Capture Engineering Design Behaviors. Proceedings of the International Conference of the Learning Sciences – Volume 3 (pp. 1359-1360). June 23-27. London: International Society of the Learning Sciences, Inc.
Chiu, J. L., Bywater, J. P., and Hong, J. (2018). Using a knowledge integration perspective to explore connections among science, mathematics, and engineering modeling practices. In M.C. Linn and B.S. Eylon (Chairs), Knowledge Integration in the Digital Age: Trajectories, Opportunities and Future Directions. Proceedings of the 13th International Conference of the Learning Sciences – Volume 2 (pp. 1264). June 23-27. London: International Society of the Learning Sciences, Inc.
Teacher Responding Tool
AI Classroom Teaching Simulator
Differential Segmentation of Categorial Sequences (DISCS)