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Noboru Matsuda
Person information
- affiliation: Department of Computer Science, North Carolina State University, Raleigh, USA
- affiliation (former): Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2024
- [c45]Zhengdong Zhang, Zihan Dong, Yang Shi, Thomas W. Price, Noboru Matsuda, Dongkuan Xu:
Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming. AAAI 2024: 23250-23258 - 2023
- [j7]Noboru Matsuda, Dan Lv, Guoguo Zheng:
Teaching How to Teach Promotes Learning by Teaching. Int. J. Artif. Intell. Educ. 33(3): 720-751 (2023) - [c44]Machi Shimmei, Norman L. Bier, Noboru Matsuda:
Machine-Generated Questions Attract Instructors When Acquainted with Learning Objectives. AIED 2023: 3-15 - [c43]Tasmia Shahriar, Noboru Matsuda:
What and How You Explain Matters: Inquisitive Teachable Agent Scaffolds Knowledge-Building for Tutor Learning. AIED 2023: 126-138 - [c42]Machi Shimmei, Noboru Matsuda:
Can't Inflate Data? Let the Models Unite and Vote: Data-agnostic Method to Avoid Overfit with Small Data. EDM 2023 - [e4]Ning Wang, Genaro Rebolledo-Mendez, Vania Dimitrova, Noboru Matsuda, Olga C. Santos:
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky - 24th International Conference, AIED 2023, Tokyo, Japan, July 3-7, 2023, Proceedings. Communications in Computer and Information Science 1831, Springer 2023, ISBN 978-3-031-36335-1 [contents] - [e3]Ning Wang, Genaro Rebolledo-Mendez, Noboru Matsuda, Olga C. Santos, Vania Dimitrova:
Artificial Intelligence in Education - 24th International Conference, AIED 2023, Tokyo, Japan, July 3-7, 2023, Proceedings. Lecture Notes in Computer Science 13916, Springer 2023, ISBN 978-3-031-36271-2 [contents] - [i3]Tasmia Shahriar, Noboru Matsuda, Kelly Ramos:
Assertion Enhanced Few-Shot Learning: Instructive Technique for Large Language Models to Generate Educational Explanations. CoRR abs/2312.03122 (2023) - [i2]Zhengdong Zhang, Zihan Dong, Yang Shi, Noboru Matsuda, Thomas W. Price, Dongkuan Xu:
Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming. CoRR abs/2312.11567 (2023) - 2022
- [j6]Noboru Matsuda:
Teachable Agent as an Interactive Tool for Cognitive Task Analysis: A Case Study for Authoring an Expert Model. Int. J. Artif. Intell. Educ. 32(1): 48-75 (2022) - [c41]Machi Shimmei, Noboru Matsuda:
Automatic Question Generation for Evidence-based Online Courseware Engineering. iTextbooks@AIED 2022: 18-25 - [e2]Maria Mercedes T. Rodrigo, Noboru Matsuda, Alexandra I. Cristea, Vania Dimitrova:
Artificial Intelligence in Education - 23rd International Conference, AIED 2022, Durham, UK, July 27-31, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13355, Springer 2022, ISBN 978-3-031-11643-8 [contents] - [e1]Maria Mercedes T. Rodrigo, Noboru Matsuda, Alexandra I. Cristea, Vania Dimitrova:
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium - 23rd International Conference, AIED 2022, Durham, UK, July 27-31, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13356, Springer 2022, ISBN 978-3-031-11646-9 [contents] - [i1]Jiaxing Xu, Jianbin Cui, Jiangneng Li, Wenge Rong, Noboru Matsuda:
Entity Aware Syntax Tree Based Data Augmentation for Natural Language Understanding. CoRR abs/2209.02267 (2022) - 2021
- [c40]Machi Shimmei, Noboru Matsuda:
Learning Association Between Learning Objectives and Key Concepts to Generate Pedagogically Valuable Questions. AIED (2) 2021: 320-324 - [c39]Tasmia Shahriar, Noboru Matsuda:
"Can You Clarify What You Said?": Studying the Impact of Tutee Agents' Follow-Up Questions on Tutors' Learning. AIED (1) 2021: 395-407 - 2020
- [j5]Noboru Matsuda, Wenting Weng, Natalie Wall:
The Effect of Metacognitive Scaffolding for Learning by Teaching a Teachable Agent. Int. J. Artif. Intell. Educ. 30(1): 1-37 (2020) - [c38]Machi Shimmei, Noboru Matsuda:
Learning a Policy Primes Quality Control: Towards Evidence-Based Automation of Learning Engineering. EDM 2020
2010 – 2019
- 2019
- [c37]Noboru Matsuda, Machi Shimmei:
PASTEL: Evidence-based Learning Engineering Method to Create Intelligent Online Textbook at Scale. iTextbooks@AIED 2019: 70-80 - [c36]Machi Shimmei, Noboru Matsuda:
Evidence-Based Recommendation for Content Improvement Using Reinforcement Learning. AIED (2) 2019: 369-373 - 2018
- [c35]Noboru Matsuda, Vishnu Priya Chandra Sekar, Natalie Wall:
Metacognitive Scaffolding Amplifies the Effect of Learning by Teaching a Teachable Agent. AIED (1) 2018: 311-323 - [c34]Paul Salvador Inventado, Sharris Gayle Francisco Inventado, Noboru Matsuda, Yeping Li, Peter Scupelli, Korinn Ostrow, Neil T. Heffernan, Shihfen Tu, Craig Mason, Mary Logue, Pat McGuire:
Using Design Patterns for Math Preservice Teacher Education. EuroPLoP 2018: 31:1-31:8 - 2017
- [c33]Evelyn Yarzebinski, Cristina Dumdumaya, Ma. Mercedes T. Rodrigo, Noboru Matsuda, Amy Ogan:
Regional Cultural Differences in How Students Customize Their Avatars in Technology-Enhanced Learning. AIED 2017: 598-601 - 2016
- [c32]Noboru Matsuda, Sanjay Chandrasekaran, John C. Stamper:
How quickly can wheel spinning be detected? EDM 2016: 607-608 - [c31]Noboru Matsuda, Nikolaos Barbalios, Zhengzheng Zhao, Anya Ramamurthy, Gabriel J. Stylianides, Kenneth R. Koedinger:
Tell Me How to Teach, I'll Learn How to Solve Problems. ITS 2016: 111-121 - [c30]Noboru Matsuda, Martin Van Velsen, Nikolaos Barbalios, Shuqiong Lin, Hardik Vasa, Roya Hosseini, Klaus Sutner, Norman L. Bier:
Cognitive Tutors Produce Adaptive Online Course: Inaugural Field Trial. ITS 2016: 327-333 - 2015
- [j4]Nan Li, Noboru Matsuda, William W. Cohen, Kenneth R. Koedinger:
Integrating representation learning and skill learning in a human-like intelligent agent. Artif. Intell. 219: 67-91 (2015) - [j3]Noboru Matsuda, William W. Cohen, Kenneth R. Koedinger:
Teaching the Teacher: Tutoring SimStudent Leads to More Effective Cognitive Tutor Authoring. Int. J. Artif. Intell. Educ. 25(1): 1-34 (2015) - [c29]Kenneth R. Koedinger, Noboru Matsuda, Christopher J. MacLellan, Elizabeth A. McLaughlin:
Methods for Evaluating Simulated Learners: Examples from SimStudent. AIED Workshops 2015 - [c28]Christopher J. MacLellan, Erik Harpstead, Eliane Stampfer Wiese, Mengfan Zou, Noboru Matsuda, Vincent Aleven, Kenneth R. Koedinger:
Authoring Tutors with Complex Solutions: A Comparative Analysis of Example Tracing and SimStudent. AIED Workshops 2015 - [c27]Evelyn Yarzebinski, Amy Ogan, Ma. Mercedes T. Rodrigo, Noboru Matsuda:
Understanding Students' Use of Code-Switching in a Learning by Teaching Technology. AIED 2015: 504-513 - [c26]Noboru Matsuda, Tadanobu Furukawa, Norman L. Bier, Christos Faloutsos:
Machine Beats Experts: Automatic Discovery of Skill Models for Data-Driven Online Courseware Refinement. EDM 2015: 101-108 - 2014
- [c25]Noboru Matsuda, Cassondra L. Griger, Nikolaos Barbalios, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger:
Investigating the Effect of Meta-cognitive Scaffolding for Learning by Teaching. Intelligent Tutoring Systems 2014: 104-113 - [c24]Christopher J. MacLellan, Kenneth R. Koedinger, Noboru Matsuda:
Authoring Tutors with SimStudent: An Evaluation of Efficiency and Model Quality. Intelligent Tutoring Systems 2014: 551-560 - 2013
- [j2]Noboru Matsuda, Evelyn Yarzebinski, Victoria Keiser, Rohan Raizada, Gabriel J. Stylianides, Kenneth R. Koedinger:
Studying the Effect of a Competitive Game Show in a Learning by Teaching Environment. Int. J. Artif. Intell. Educ. 23(1-4): 1-21 (2013) - [c23]Christopher J. MacLellan, Noboru Matsuda, Kenneth R. Koedinger:
Toward a reflective SimStudent: Using experience to avoid generalization errors. AIED Workshops 2013 - [c22]Ma. Mercedes T. Rodrigo, Aaron Ong, Rex Perez Bringula, Roselle S. Basa, Cecilio Dela Cruz, Noboru Matsuda:
Impact of Prior Knowledge and Teaching Strategies on Learning by Teaching. AIED Workshops 2013 - 2012
- [c21]Amy Ogan, Samantha L. Finkelstein, Elijah Mayfield, Claudia D'Adamo, Noboru Matsuda, Justine Cassell:
"Oh dear stacy!": social interaction, elaboration, and learning with teachable agents. CHI 2012: 39-48 - [c20]Noboru Matsuda, Evelyn Yarzebinski, Victoria Keiser, Rohan Raizada, William W. Cohen, Gabriel Stylianides, Kenneth R. Koedinger:
Shallow learning as a pathway for successful learning both for tutors and tutees. CogSci 2012 - [c19]Noboru Matsuda, William W. Cohen, Kenneth R. Koedinger, Victoria Keiser, Rohan Raizada, Evelyn Yarzebinski, Shayna P. Watson, Gabriel Stylianides:
Studying the Effect of Tutor Learning Using a Teachable Agent that Asks the Student Tutor for Explanations. DIGITEL 2012: 25-32 - [c18]Noboru Matsuda, Evelyn Yarzebinski, Victoria Keiser, Rohan Raizada, Gabriel Stylianides, Kenneth R. Koedinger:
Motivational Factors for Learning by Teaching - The Effect of a Competitive Game Show in a Virtual peer-Learning Environment. ITS 2012: 101-111 - [c17]Ryan Carlson, Victoria Keiser, Noboru Matsuda, Kenneth R. Koedinger, Carolyn Penstein Rosé:
Building a Conversational SimStudent. ITS 2012: 563-569 - [c16]Miki Namatame, Noboru Matsuda:
An Application of Peer Review for Art Education: A Tablet PC Becomes a Language for Students Who are Hard of Hearing. WMUTE 2012: 190-192 - 2011
- [c15]Noboru Matsuda, Evelyn Yarzebinski, Victoria Keiser, Rohan Raizada, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger:
Learning by Teaching SimStudent - An Initial Classroom Baseline Study Comparing with Cognitive Tutor. AIED 2011: 213-221 - [c14]Noboru Matsuda, Victoria Keiser, Rohan Raizada, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger:
Learning by Teaching SimStudent - Interactive Event. AIED 2011: 623 - [c13]Nan Li, William W. Cohen, Kenneth R. Koedinger, Noboru Matsuda:
A Machine Learning Approach for Automatic Student Model Discovery. EDM 2011: 31-40 - 2010
- [c12]Nan Li, Noboru Matsuda, William W. Cohen, Kenneth R. Koedinger:
Towards a Computational Model of Why Some Students Learn Faster than Others. AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems 2010 - [c11]Noboru Matsuda, Victoria Keiser, Rohan Raizada, Arthur Tu, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger:
Learning by Teaching SimStudent: Technical Accomplishments and an Initial Use with Students. Intelligent Tutoring Systems (1) 2010: 317-326 - [c10]Noboru Matsuda, Victoria Keiser, Rohan Raizada, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger:
Learning by Teaching SimStudent. Intelligent Tutoring Systems (2) 2010: 449
2000 – 2009
- 2008
- [c9]Noboru Matsuda, William W. Cohen, Jonathan Sewall, Gustavo Lacerda, Kenneth R. Koedinger:
Why Tutored Problem Solving May be Better Than Example Study: Theoretical Implications from a Simulated-Student Study. Intelligent Tutoring Systems 2008: 111-121 - 2007
- [c8]Noboru Matsuda, William W. Cohen, Jonathan Sewall, Gustavo Lacerda, Kenneth R. Koedinger:
Predicting Students' Performance with SimStudent: Learning Cognitive Skills from Observation. AIED 2007: 467-476 - [c7]Noboru Matsuda, William W. Cohen, Jonathan Sewall, Gustavo Lacerda, Kenneth R. Koedinger:
Evaluating a Simulated Student Using Real Students Data for Training and Testing. User Modeling 2007: 107-116 - 2005
- [c6]Noboru Matsuda, Kurt VanLehn:
Advanced Geometry Tutor: An intelligent tutor that teaches proof-writing with construction. AIED 2005: 443-450 - 2004
- [j1]Noboru Matsuda, Kurt VanLehn:
GRAMY: A Geometry Theorem Prover Capable of Construction. J. Autom. Reason. 32(1): 3-33 (2004) - 2003
- [c5]Noboru Matsuda, Kurt VanLehn:
Modeling Hinting Strategies for Geometry Theorem Proving. User Modeling 2003: 373-377 - 2000
- [c4]Noboru Matsuda, Kurt VanLehn:
A Reification of a Strategy for Geometry Theorem Proving. Intelligent Tutoring Systems 2000: 660
1990 – 1999
- 1998
- [c3]Noboru Matsuda, Toshio Okamoto:
Diagrammatic Reasoning for Geometry ITS to Teach Auxiliary Line Construction Problems. Intelligent Tutoring Systems 1998: 244-253 - 1996
- [c2]Noboru Matsuda, Toshio Okamoto:
Parallel Computing Model for Problem Solver Towards ITSs: Epistemological Articulation of Human Problem Solving. Intelligent Tutoring Systems 1996: 234-242 - 1992
- [c1]Noboru Matsuda, Toshio Okamoto:
Student Model Diagnosis for Adaptive Instruction in ITS. Intelligent Tutoring Systems 1992: 467-474
Coauthor Index
aka: Gabriel J. Stylianides
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last updated on 2024-03-27 20:24 CET by the dblp team
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