2024 article
"I Am Confused! How to Differentiate Between.?" Adaptive Follow-Up Questions Facilitate Tutor Learning with Effective Time-On-Task
ARTIFICIAL INTELLIGENCE IN EDUCATION, PT II, AIED 2024, Vol. 14830, pp. 17–30.
2023 chapter
Machine-Generated Questions Attract Instructors When Acquainted with Learning Objectives
2023 chapter
What and How You Explain Matters: Inquisitive Teachable Agent Scaffolds Knowledge-Building for Tutor Learning
2022 book
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium
Ed(s): M. Rodrigo *, N. Matsuda n, A. Cristea * & V. Dimitrova *
Event: 23rd International Conference, AIED 2022 at Durham, UK on July 27-31, 2022
2022 article
Teaching How to Teach Promotes Learning by Teaching
Matsuda, N., Lv, D., & Zheng, G. (2022, August 31). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, Vol. 8.
2021 article
"Can You Clarify What You Said?": Studying the Impact of Tutee Agents' Follow-Up Questions on Tutors' Learning
ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2021), PT I, Vol. 12748, pp. 395–407.
2021 article
Learning Association Between Learning Objectives and Key Concepts to Generate Pedagogically Valuable Questions
ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2021), PT II, Vol. 12749, pp. 320–324.
2021 article
Teachable Agent as an Interactive Tool for Cognitive Task Analysis: A Case Study for Authoring an Expert Model
Matsuda, N. (2021, July 12). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, Vol. 32.
2020 journal article
Development and validation of the teachers' digital learning identity survey
INTERNATIONAL JOURNAL OF EDUCATIONAL RESEARCH, 105.
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.
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.
Ed(s): A. Sinatra, A. Graesser, X. Hu, K. Brawner & V. Rus
2019 article
Evidence-Based Recommendation for Content Improvement Using Reinforcement Learning
ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2019, PT II, Vol. 11626, pp. 369–373.
Contributors: M. Shimmei n & n
2019 conference paper
PASTEL: Evidence-based learning engineering method to create intelligent online textbook at scale
CEUR Workshop Proceedings, 2384, 70–80. http://www.scopus.com/inward/record.url?eid=2-s2.0-85067813785&partnerID=MN8TOARS
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).
Contributors: , V. Sekar* & N. Wall * *
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
2018 conference paper
Using design patterns for math preservice teacher education
ACM International Conference Proceeding Series.
Contributors: P. Inventado *, Y. Li *, N. Heffernan *, S. Inventado*, P. Scupelli *, S. Tu *, * , K. Ostrow *
2017 chapter
Instructional Strategy
In H. Matsubara (Ed.), Encyclopedia of Artificial Intelligence (pp. 1157–1159). Tokyo, Japan: Japan Society of Artificial Intelligence.
Ed(s): H. Matsubara
2017 chapter
Intelligent Pedagogical Agents
In H. Matsubara (Ed.), Encyclopedia of Artificial Intelligence (pp. 1152–1153). Tokyo, Japan: Japan Society of Artificial Intelligence.
Ed(s): H. Matsubara
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. http://www.scopus.com/inward/record.url?eid=2-s2.0-85051544348&partnerID=MN8TOARS
2017 chapter
Natural language processing in educational systems
In H. Matsubara (Ed.), Encyclopedia of Artificial Intelligence (p. 1101). Tokyo, Japan: Society of Artificial Intelligence.
Ed(s): H. Matsubara
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).
Contributors: E. Yarzebinski *, C. Dumdumaya *, M. Rodrigo *, * & A. Ogan *
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).
Contributors: , M. Velsen*, N. Barbalios*, S. Lin*, H. Vasa*, R. Hosseini *, K. Sutner*, N. Bier * *
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.
2016 conference paper
How quickly can wheel spinning be detected?
Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016, 607–608. http://www.scopus.com/inward/record.url?eid=2-s2.0-85067333848&partnerID=MN8TOARS
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).
Contributors: , N. Barbalios*, Z. Zhao*, A. Ramamurthy*, G. Stylianides * & K. Koedinger * *
2015 journal article
Application of Waka-Kansei Database for Learning Japanese Waka in Middle School
Japan Journal of Educational Technology, 38(4), 329–340.
2015 chapter
Authoring Example-based Tutors for Procedural Tasks
In R. Sottilare, A. Graesser, X. Hu, & K. Brawner (Eds.), Design Recommendations for Intelligent Tutoring Systems: Authoring Tools & Expert Modeling Techniques (Vol. 3, pp. 71–94). Orlando, FL: U.S. Army Research Laboratory.
Ed(s): R. Sottilare, A. Graesser, X. Hu & K. Brawner
2015 conference paper
Authoring tutors with complex solutions: A comparative analysis of Example Tracing and SimStudent
CEUR Workshop Proceedings, 1432, 35–44. http://www.scopus.com/inward/record.url?eid=2-s2.0-84944328396&partnerID=MN8TOARS
2015 conference paper
Methods for evaluating simulated learners: Examples from SimStudent
CEUR Workshop Proceedings, 1432, 45–54. http://www.scopus.com/inward/record.url?eid=2-s2.0-84944315929&partnerID=MN8TOARS
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).
Contributors: E. Yarzebinski *, A. Ogan *, M. Rodrigo * & *
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).
Contributors: C. MacLellan *, K. Koedinger * & *
2014 journal article
Integrating representation learning and skill learning in a human-like intelligent agent
Artificial Intelligence, 219, 67–91.
Contributors: N. Li *, * , W. Cohen* & K. Koedinger *
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).
Contributors: , C. Griger*, N. Barbalios*, G. Stylianides *, W. Cohen* & K. Koedinger * *
2014 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.
Contributors: , W. Cohen* & K. Koedinger * *
2013 journal article
Cognitive anatomy of tutor learning: Lessons learned with SimStudent.
Journal of Educational Psychology, 105(4), 1152–1163.
2013 journal article
Exploring the Implications of Tutor Negativity Towards a Synthetic Agent in a Learning-by-Teaching Environment
Philippine Computing Journal, 8(1), 15–20.
2013 conference paper
Impact of prior knowledge and teaching strategies on learning by teaching
CEUR Workshop Proceedings, 1009, 71–80. http://www.scopus.com/inward/record.url?eid=2-s2.0-84924982067&partnerID=MN8TOARS
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.
Contributors: , E. Yarzebinski *, V. Keiser*, R. Raizada, G. Stylianides * & K. Koedinger * *
2013 conference paper
Toward a reflective SimStudent: Using experience to avoid generalization errors
CEUR Workshop Proceedings, 1009, 51–60. http://www.scopus.com/inward/record.url?eid=2-s2.0-84924980730&partnerID=MN8TOARS
2012 conference paper
"Oh, dear Stacy!" Social interaction, elaboration, and learning with teachable agents
Conference on Human Factors in Computing Systems - Proceedings, 39–48.
Contributors: A. Ogan *, S. Finkelstein*, E. Mayfield*, . C. D'Adamo, * & J. Cassell*
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.
2012 journal article
An empirical study on the effect of Kansei-database for middle school students to learn Waka-reading comprehension
Japan Journal of Educational Technology, 36(2), 125–134.
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).
Contributors: R. Carlson *, V. Keiser*, * , K. Koedinger * & C. Penstein Rosé *
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).
Contributors: , E. Yarzebinski *, V. Keiser*, R. Raizada*, G. Stylianides * & K. Koedinger * *
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.
Contributors: , W. Cohen*, K. Koedinger *, V. Keiser*, R. Raizada*, E. Yarzebinski *, S. Watson*, G. Stylianides * *
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. http://www.scopus.com/inward/record.url?eid=2-s2.0-84863408562&partnerID=MN8TOARS
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).
Contributors: , E. Yarzebinski *, V. Keiser*, R. Raizada*, G. Stylianides, W. Cohen*, K. Koedinger * *
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).
Contributors: , V. Keiser*, R. Raizada*, G. Stylianides *, W. Cohen* & K. Koedinger * *
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).
Contributors: , V. Keiser*, R. Raizada*, G. Stylianides *, W. Cohen* & K. Koedinger * *
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).
Contributors: , V. Keiser*, R. Raizada*, A. Tu*, G. Stylianides *, W. Cohen*, K. Koedinger * *
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. http://www.scopus.com/inward/record.url?eid=2-s2.0-79960149222&partnerID=MN8TOARS
2010 conference paper
Tuning cognitive tutors into a platform for learning-by-teaching with SimStudent technology
CEUR Workshop Proceedings, 587, 20–25. http://www.scopus.com/inward/record.url?eid=2-s2.0-84888214372&partnerID=MN8TOARS
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).
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). http://www.scopus.com/inward/record.url?eid=2-s2.0-37249054311&partnerID=MN8TOARS
2006 chapter
How to get a Ph.D in America
In A. Arimoto & I. Kitagaki (Eds.), University Authority (pp. 132–137). Tokyo, Japan: Minervashobo Publishers Inc.
Ed(s): A. Arimoto & I. Kitagaki
2005 conference paper
Applying programming by demonstration in an intelligent authoring tool for cognitive tutors
AAAI Workshop - Technical Report, WS-05-04, 1–8. http://www.scopus.com/inward/record.url?eid=2-s2.0-33646048713&partnerID=MN8TOARS
2005 chapter
Instructional strategies
In H. Tanaka (Ed.), Encyclopedia of Artificial Intelligence. Tokyo, Japan: Japan Society of Artificial Intelligence.
Ed(s): H. Tanaka
2005 chapter
Natural language processing in educational systems
In H. Tanaka (Ed.), Encyclopedia of Artificial Intelligence. Tokyo, Japan: Japan Society of Artificial Intelligence.
Ed(s): H. Tanaka
2004 journal article
GRAMY: A geometry theorem prover capable of construction
Journal of Automated Reasoning, 32(1), 3–33.
Contributors: & K. Vanlehn * *
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. http://www.scopus.com/inward/record.url?eid=2-s2.0-8344255630&partnerID=MN8TOARS
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). http://www.scopus.com/inward/record.url?eid=2-s2.0-84944321228&partnerID=MN8TOARS
1999 chapter
Cognitive model of geometry theorem proving with construction and its application to intelligent tutoring systems
In Y. Sugiyama (Ed.), Towards new practical theories in mathematics education. Tokyo, Japan: Toyokan Publishers Inc.
Ed(s): Y. Sugiyama
1998 journal article
An object oriented distributed working environment to integrate cooperative work and personal work
Transactions of Information Processing Society of Japan, 39(1), 123–130.
1997 journal article
The system for supporting to learn/diagnose Z notation
Transaction of Japan Society for Information and Systems in Education, 14(1), 3–12.
1996 journal article
Intelligent CAI for geometric theorem proving with dynamic manipulative interface
Transactions of Information Processing Society of Japan, 37(9), 1679–1687.
1995 journal article
A study of the relationship between programming abilities and academic achievement in junior high school mathematics
Japan Journal of Educational Technology, 19(2), 85–100.
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.
1994 journal article
Study of CAI with algorithm diagnosis system for novice C programmers
Journal of Japan Society for CAI, 11(2), 63–74.
1993 chapter
Computer networking
In T. Okamoto (Ed.), Introduction to Information Education for Teachers: Cases in High-School Education (pp. 180–197). Tokyo: Personal Media.
Ed(s): T. Okamoto
1993 journal article
On the system of learning and diagnosis for fostering space concept
Journal of Japan Society for CAI, 10(3), 114–121.
1993 journal article
Student modeling for procedural problem solving
IEICE Transactions on Information and Systems, E77-D(1), 49–56.
1992 chapter
Foundations of Computers
In T. Okamoto (Ed.), Introduction to Information Education for Teachers: Cases in Middle-School Education (pp. 88–119). Tokyo, Japan: Personal Media.
Ed(s): T. Okamoto
1992 journal article
Mental model of the process of composing geometric proofs using an intelligent tutoring system
Japan Journal of Educational Technology, 15(4), 167–182.
1992 journal article
Overview on the studies of intelligent CAIs/ITSs in Japan
Educational Technology Research, 15(1-2), 1–8.
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.
1991 journal article
A knowledge based CAD to support students’ learning elementary geometric concepts and diagnosing their misconceptions
Japan Journal of Educational Technology, 14(4), 147–157.
1990 journal article
An automatic generation of knowledge-base for an intelligent CAI on geometry theorem proving and a GUI to draw geometric figures
Transactions of the Institution of Electronics, Information, and Communication Engineering, J73-D-II(1), 88–99.
1990 chapter
Knowledge communication
In T. Okamoto & R. Mizoguchi (Eds.), Artificial Intelligence and Tutoring Systems (pp. 447–456). Tokyo, Japan: Ohmu Inc.
Ed(s): T. Okamoto & R. Mizoguchi
1990 chapter
What is CAI?
In T. Okamoto (Ed.), Introduction to C Programming (pp. 201–236). Tokyo, Japan: Personal Media.
Ed(s): T. Okamoto
1989 journal article
Learning to recognize students’ plan in geometry proof using intelligent CAI
Transactions of Information Processing Society of Japan, 30(8), 1046–1057.
1988 journal article
An intelligent CAI for geometry proof
Transactions of Information Processing Society of Japan, 29(3), 311–324.
1988 chapter
Drill, Practice, and Machine Learning
In T. Okamoto, K. Akahori, & S. Yokoyama (Eds.), Computer environments for children (pp. 21–40). Tokyo, Japan: Personal Media.
Ed(s): T. Okamoto, K. Akahori & S. Yokoyama
Updated: December 11th, 2019 00:14
2018 - present
2015 - 2018
2009 - 2015
2004 - 2009
1993 - 1998
1988 - 1993
Updated: January 14th, 2024 20:40
1999 - 2004
Funding history based on the linked ORCID record. Updated: December 10th, 2019 14:21
Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.
Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.