Matsuda, Noboru

Students’ Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming

Zhang, Z., Dong, Z., Shi, Y., Price, T., Matsuda, N., & Xu, D. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Teaching and Learning ProgrammingIntelligent Tutoring Systems and Adaptive Learning

Cited by 54

GRAMY: A Geometry Theorem Prover Capable of Construction

Matsuda, N., & VanLehn, K. (2004) · Journal of Automated Reasoning

Mathematics and ApplicationsPolynomial and algebraic computation

Cited by 43

Why Tutored Problem Solving May be Better Than Example Study: Theoretical Implications from a Simulated-Student Study

Matsuda, N., Cohen, W. W., Sewall, J., Lacerda, G., & Koedinger, K. R. (2008) · Lecture Notes in Computer Science

Intelligent Tutoring Systems and Adaptive LearningVisual and Cognitive Learning Processes

Cited by 17

“I Am Confused! How to Differentiate Between…?” Adaptive Follow-Up Questions Facilitate Tutor Learning with Effective Time-On-Task

Shahriar, T., & Matsuda, N. (2024) · Lecture Notes in Computer Science

Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods

Cited by 4