Works (48)

2020 journal article

The Effect of Metacognitive Scaffolding for Learning by Teaching a Teachable Agent

International Journal of Artificial Intelligence in Education, 30(1), 1–37.

By: N. Matsuda, W. Weng & N. Wall

Sources: Web Of Science, ORCID, Crossref
Added: April 6, 2020

2019 chapter

Applications of Reinforcement Learning to Self-Improving Educational Systems

In A. M. Sinatra, A. C. Graesser, X. Hu, K. Brawner, & V. Rus (Eds.), Design Recommendations for Intelligent Tutoring Systems: Vol. 7: Self-Improving Systems (pp. 77–96). Orlando, FL: US Army Research Lab.

By: S. Shen, M. Shimmei, M. Chi & N. Matsuda

Ed(s): A. Sinatra, A. Graesser, X. Hu, K. Brawner & V. Rus

Source: NC State University Libraries
Added: November 28, 2020

2019 article

Evidence-Based Recommendation for Content Improvement Using Reinforcement Learning

ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2019, PT II, pp. 369–373.

By: M. Shimmei & N. Matsuda

Sources: Web Of Science, ORCID
Added: December 2, 2019

2019 conference paper

PASTEL: Evidence-based learning engineering method to create intelligent online textbook at scale

CEUR Workshop Proceedings, 2384, 70–80.

By: N. Matsuda & M. Shimmei

Source: ORCID
Added: February 11, 2020

2018 book

Metacognitive scaffolding amplifies the effect of learning by teaching a teachable agent

In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 311–323).

By: N. Matsuda, V. Sekar & N. Wall

Source: ORCID
Added: February 11, 2020

2018 journal article

The State-of-the-Art Pedagogical Agent Technology in the Field of Learning Science

Transactions of Japanese Society for Information and Systems in Education, 35(1), 13–20. Retrieved from

By: N. Matsuda

Source: NC State University Libraries
Added: November 28, 2020

2018 conference paper

Using design patterns for math preservice teacher education

ACM International Conference Proceeding Series.

By: P. Inventado, Y. Li, N. Heffernan, S. Inventado, P. Scupelli, S. Tu, N. Matsuda, K. Ostrow ...

Source: ORCID
Added: February 11, 2020

2017 chapter

Instructional Strategy

In H. Matsubara (Ed.), Encyclopedia of Artificial Intelligence (pp. 1157–1159). Tokyo, Japan: Japan Society of Artificial Intelligence.

By: N. Matsuda

Ed(s): H. Matsubara

Source: NC State University Libraries
Added: November 28, 2020

2017 chapter

Intelligent Pedagogical Agents

In H. Matsubara (Ed.), Encyclopedia of Artificial Intelligence (pp. 1152–1153). Tokyo, Japan: Japan Society of Artificial Intelligence.

By: N. Matsuda

Ed(s): H. Matsubara

Source: NC State University Libraries
Added: November 28, 2020

2017 conference paper

Investigating the effects of cognitive and metacognitive scaffolding on learners using a learning by teaching environment

Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings, 1–10.

By: C. Dumdumaya, M. Banawan, M. Rodrigo, A. Ogan, E. Yarzebinski & N. Matsuda

Source: ORCID
Added: February 11, 2020

2017 chapter

Natural language processing in educational systems

In H. Matsubara (Ed.), Encyclopedia of Artificial Intelligence (p. 1101). Tokyo, Japan: Society of Artificial Intelligence.

By: N. Matsuda

Ed(s): H. Matsubara

Source: NC State University Libraries
Added: November 28, 2020

2017 book

Regional cultural differences in how students customize their avatars in technology-enhanced learning

In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 598–601).

By: E. Yarzebinski, C. Dumdumaya, M. Rodrigo, N. Matsuda & A. Ogan

Source: ORCID
Added: February 11, 2020

2016 book

Cognitive tutors produce adaptive online course: Inaugural field trial

In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9684, pp. 327–333).

By: N. Matsuda, M. Velsen, N. Barbalios, S. Lin, H. Vasa, R. Hosseini, K. Sutner, N. Bier

Source: ORCID
Added: February 11, 2020

2016 journal article

Development of a Peer Review System for Art Education and its Evaluation

Transactions of Japan Society of Kansei Engineering, 15(4), 425–430.

By: M. Namatame & N. Matsuda

Sources: Crossref, ORCID
Added: September 13, 2020

2016 conference paper

How quickly can wheel spinning be detected?

Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016, 607–608.

By: N. Matsuda, S. Chandrasekaran & J. Stamper

Source: ORCID
Added: February 11, 2020

2016 book

Tell me how to teach, I’ll learn how to solve problems

In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9684, pp. 111–121).

By: N. Matsuda, N. Barbalios, Z. Zhao, A. Ramamurthy, G. Stylianides & K. Koedinger

Source: ORCID
Added: February 11, 2020

2015 conference paper

Authoring tutors with complex solutions: A comparative analysis of Example Tracing and SimStudent

CEUR Workshop Proceedings, 1432, 35–44.

By: C. Maclellan, E. Harpstead, E. Wiese, M. Zou, N. Matsuda, V. Aleven, K. Koedinger

Source: ORCID
Added: February 11, 2020

2015 journal article

Integrating representation learning and skill learning in a human-like intelligent agent

Artificial Intelligence, 219, 67–91.

By: N. Li, N. Matsuda, W. Cohen & K. Koedinger

Source: ORCID
Added: February 11, 2020

2015 conference paper

Methods for evaluating simulated learners: Examples from SimStudent

CEUR Workshop Proceedings, 1432, 45–54.

By: K. Koedinger, N. Matsuda, C. Maclellan & E. McLaughlin

Source: ORCID
Added: February 11, 2020

2015 journal article

Teaching the teacher: Tutoring simstudent leads to more effective cognitive tutor authoring

International Journal of Artificial Intelligence in Education, 25(1), 1–34.

By: N. Matsuda, W. Cohen & K. Koedinger

Source: ORCID
Added: February 11, 2020

2015 book

Understanding students’ use of code-switching in a learning by teaching technology

In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9112, pp. 504–513).

By: E. Yarzebinski, A. Ogan, M. Rodrigo & N. Matsuda

Source: ORCID
Added: February 11, 2020

2014 book

Authoring tutors with simstudent: An evaluation of efficiency and model quality

In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 551–560).

By: C. MacLellan, K. Koedinger & N. Matsuda

Source: ORCID
Added: February 11, 2020

2014 book

Investigating the effect of meta-cognitive scaffolding for learning by teaching

In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 104–113).

By: N. Matsuda, C. Griger, N. Barbalios, G. Stylianides, W. Cohen & K. Koedinger

Source: ORCID
Added: February 11, 2020

2013 journal article

Cognitive anatomy of tutor learning: Lessons learned with SimStudent.

Journal of Educational Psychology, 105(4), 1152–1163.

By: N. Matsuda, E. Yarzebinski, V. Keiser, R. Raizada, W. Cohen, G. Stylianides, K. Koedinger

Sources: ORCID, Crossref
Added: February 11, 2020

2013 conference paper

Impact of prior knowledge and teaching strategies on learning by teaching

CEUR Workshop Proceedings, 1009, 71–80.

By: M. Rodrigo, A. Ong, R. Bringula, R. Basa, C. Dela Cruz & N. Matsuda

Source: ORCID
Added: February 11, 2020

2013 journal article

Studying the effect of a competitive game show in a learning by teaching environment

International Journal of Artificial Intelligence in Education, 23(1-4), 1–21.

By: N. Matsuda, E. Yarzebinski, V. Keiser, R. Raizada, G. Stylianides & K. Koedinger

Source: ORCID
Added: February 11, 2020

2013 conference paper

Toward a reflective SimStudent: Using experience to avoid generalization errors

CEUR Workshop Proceedings, 1009, 51–60.

By: C. MacLellan, N. Matsuda & K. Koedinger

Source: ORCID
Added: February 11, 2020

2012 conference paper

"Oh, dear Stacy!" Social interaction, elaboration, and learning with teachable agents

Conference on Human Factors in Computing Systems - Proceedings, 39–48.

By: A. Ogan, S. Finkelstein, E. Mayfield, C. D’Adamo, N. Matsuda & J. Cassell

Source: ORCID
Added: February 11, 2020

2012 conference paper

An application of peer review for art education: A tablet PC becomes a language for students who are hard of hearing

Proceedings 2012 17th IEEE International Conference on Wireless, Mobile and Ubiquitous Technology in Education, WMUTE 2012, 190–192.

By: M. Namatame & N. Matsuda

Source: ORCID
Added: February 11, 2020

2012 book

Building a conversational simstudent

In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 563–569).

By: R. Carlson, V. Keiser, N. Matsuda, K. Koedinger & C. Penstein Rosé

Source: ORCID
Added: February 11, 2020

2012 book

Motivational factors for learning by teaching: The effect of a competitive game show in a virtual peer-Learning Environment

In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 101–111).

By: N. Matsuda, E. Yarzebinski, V. Keiser, R. Raizada, G. Stylianides & K. Koedinger

Source: ORCID
Added: February 11, 2020

2012 conference paper

Studying the effect of tutor learning using a teachable agent that asks the student tutor for explanations

Proceedings 2012 4th IEEE International Conference on Digital Game and Intelligent Toy Enhanced Learning, DIGITEL 2012, 25–32.

By: N. Matsuda, W. Cohen, K. Koedinger, V. Keiser, R. Raizada, E. Yarzebinski, S. Watson, G. Stylianides

Source: ORCID
Added: February 11, 2020

2011 conference paper

A machine learning approach for automatic student model discovery

EDM 2011 - Proceedings of the 4th International Conference on Educational Data Mining, 31–40.

By: N. Li, N. Matsuda, W. Cohen & K. Koedinger

Source: ORCID
Added: February 11, 2020

2011 book

Learning by teaching simstudent - An initial classroom baseline study comparing with cognitive tutor

In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 213–221).

By: N. Matsuda, E. Yarzebinski, V. Keiser, R. Raizada, G. Stylianides, W. Cohen, K. Koedinger

Source: ORCID
Added: February 11, 2020

2011 book

Learning by teaching simstudent - Interactive event

In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (p. 623).

By: N. Matsuda, V. Keiser, R. Raizada, G. Stylianides, W. Cohen & K. Koedinger

Source: ORCID
Added: February 11, 2020

2010 book

Learning by teaching SimStudent

In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (p. 449).

By: N. Matsuda, V. Keiser, R. Raizada, G. Stylianides, W. Cohen & K. Koedinger

Source: ORCID
Added: February 11, 2020

2010 book

Learning by teaching SimStudent: Technical accomplishments and an initial use with students

In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 317–326).

By: N. Matsuda, V. Keiser, R. Raizada, A. Tu, G. Stylianides, W. Cohen, K. Koedinger

Source: ORCID
Added: February 11, 2020

2010 conference paper

Towards a computational model of why some students learn faster than others

AAAI Fall Symposium - Technical Report, FS-10-01, 40–46.

By: N. Li, N. Matsuda, W. Cohen & K. Koedinger

Source: ORCID
Added: February 11, 2020

2010 conference paper

Tuning cognitive tutors into a platform for learning-by-teaching with SimStudent technology

CEUR Workshop Proceedings, 587, 20–25.

By: N. Matsuda, W. Cohen, K. Koedinger, G. Stylianides, V. Keiser & R. Raizada

Source: ORCID
Added: February 11, 2020

2008 book

Why tutored problem solving may be better than example study: Theoretical implications from a simulated-student study

In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 111–121).

By: N. Matsuda, W. Cohen, J. Sewall, G. Lacerda & K. Koedinger

Source: ORCID
Added: February 11, 2020

2007 book

Evaluating a simulated student using real students data for training and testing

In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 107–116).

By: N. Matsuda, W. Cohen, J. Sewall, G. Lacerda & K. Koedinger

Source: ORCID
Added: February 11, 2020

2005 conference paper

Applying programming by demonstration in an intelligent authoring tool for cognitive tutors

AAAI Workshop - Technical Report, WS-05-04, 1–8.

By: N. Matsuda, W. Cohen & K. Koedinger

Source: ORCID
Added: February 11, 2020

2004 journal article

GRAMY: A geometry theorem prover capable of construction

Journal of Automated Reasoning, 32(1), 3–33.

By: N. Matsuda & K. Vanlehn

Source: ORCID
Added: February 11, 2020

2003 conference paper

Modeling hinting strategies for geometry theorem proving

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 2702, 373–377.

By: N. Matsuda & K. VanLehn

Source: ORCID
Added: February 11, 2020

2000 book

A reification of a strategy for geometry theorem proving

In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1839, p. 660).

By: N. Matsuda & K. VanLehn

Source: ORCID
Added: February 11, 2020

1998 book

Diagrammatic reasoning for geometry ITS to teach auxiliary line construction problems

In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1452, pp. 244–253).

By: N. Matsuda & T. Okamoto

Source: ORCID
Added: February 11, 2020

1994 journal article

Application of analogical reasoning and extraction of tutoring rules for concept-formation learning

Electronics and Communications in Japan (Part III: Fundamental Electronic Science), 77(3), 75–86.

By: T. Okamoto, K. Morihiro, N. Matsuda & S. Takuma

Sources: Crossref, ORCID
Added: September 13, 2020

1992 journal article

Student model and its recognition by hypothesis-based reasoning in ITS

Electronics and Communications in Japan (Part III: Fundamental Electronic Science), 75(8), 85–95.

By: N. Matsuda & T. Okamoto

Sources: Crossref, ORCID
Added: September 13, 2020

Employment

2018 - present

North Carolina State University Raleigh, NC, US
Associate Professor Computer Science

2015 - 2018

Texas A&M University College Station, Texas, US
Associate Professor Teaching, Learning & Culture

2009 - 2015

Carnegie Mellon University Pittsburgh, PA, US
Systems Scientist Human-Computer Interaction Institute

2004 - 2009

Carnegie Mellon University Pittsburgh, PA, US
Postdoctoral Research Fellow Human-Computer Interaction Institute

1993 - 1998

University of Electro-Communications Tokyo, JP
Assistant Professor Graduate School of Information Systems

1988 - 1993

Kanazawa Institute of Technology Nonoichi, JP
Assistant Professor Center for Computer Assisted Instruction

Education

1999 - 2004

University of Pittsburgh Pittsburgh, PA, US
PhD Intelligent Systems Program

1986 - 1988

Tokyo Gakugei University Tokyo, JP
MS Mathematics Education

1983 - 1987

Tokyo Gakugei University Tokyo, JP
BS Mathematics Education

Funding History

Funding history based on the linked ORCID record.

grant September 1, 2018 - August 31, 2021
Developing an Online Learning Environment for Learning Algebra by Teaching a Synthetic Peer
United States Department of Education
grant September 1, 2016 - August 31, 2018
EXP: Exploratory Study on the Adaptive Online Course and its Implication on Synergetic Competency
Directorate for Computer & Information Science & Engineering
grant September 1, 2015 - September 30, 2017
Learning by Teaching a Synthetic Peer: Investigating the effect of tutor scaffolding for tutor learning
Directorate for Education & Human Resources
grant September 1, 2015 - July 31, 2017
Data-Driven Methods to Improve Student Learning from Online Courses
Directorate for Education & Human Resources
grant August 1, 2014 - July 31, 2016
Data-Driven Methods to Improve Student Learning from Online Courses
Directorate for Education & Human Resources
grant April 1, 2014 - March 31, 2018
Study on Learning Effect for Lecture Videos with Scrolling Through Text Comments Sent by Learners and Development of System aiming at Stimulated Discussion
Japan Society for the Promotion of Science
grant October 1, 2013 - July 31, 2016
Learning by Teaching a Synthetic Peer: Investigating the effect of tutor scaffolding for tutor learning
Directorate for Education & Human Resources
grant August 1, 2009 - January 31, 2014
Empirical Research: Emerging Research: Learning by Teaching a Synthetic Student: Using SimStudent to Study the Effect of Tutor Learning
Directorate for Education & Human Resources
grant June 1, 2009 - May 1, 2012
Learning by Teaching Synthetic Student: Using SimStudent to Study the Effect of Tutor Learning
United States Department of Education
grant January 1, 2008 - December 31, 2011
The Release of the communication learning support system for a people with developmental disorders
Japan Society for the Promotion of Science
grant September 15, 2005 - August 31, 2009
Building Cognitive Tutors with Programming by Demonstration: When Simulated Students help Cognitive Modeling and Educational Studies
Directorate for Education & Human Resources
grant January 1, 1996 - December 31, 1997
Development of a Case-Based Reasoning System and a CSCL System for Practices of IT-Education to Teachers
Japan Society for the Promotion of Science
grant January 1, 1995 - December 31, 1996
Intelligent interactive system for extracting knowledge of pedagogical strategies/tactics on instructional design
Japan Society for the Promotion of Science
grant January 1, 1993 - December 31, 1994
Study on the formative process of a self-identity in a distributed cooperative learning environment.
Japan Society for the Promotion of Science