Noboru Matsuda

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Ken KoedingerHillman Professor of Computer Science, Depts of Human-Computer Interaction & Psychology, Carnegiecmu.edu üzerinde doğrulanmış e-posta adresine sahip
William W. CohenGoogle AIgoogle.com üzerinde doğrulanmış e-posta adresine sahip
Gabriel StylianidesProfessor, University of Oxford, UKeducation.ox.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Evelyn YarzebinskiCarnegie Mellon Universitycra.org üzerinde doğrulanmış e-posta adresine sahip
Kurt VanLehnProfessor of Computer Science, Arizona State Universityasu.edu üzerinde doğrulanmış e-posta adresine sahip
Nan LiD. E. Shaw & Co., L.P.cs.cmu.edu üzerinde doğrulanmış e-posta adresine sahip
Christopher J. MacLellanAssistant Professor, Drexel Universitydrexel.edu üzerinde doğrulanmış e-posta adresine sahip
Amy OganCarnegie Mellon Universitycs.cmu.edu üzerinde doğrulanmış e-posta adresine sahip
Ma. Mercedes RodrigoProfessor, Ateneo de Manila Universityateneo.edu üzerinde doğrulanmış e-posta adresine sahip
Nikolaos BarmpaliosSenior Machine Learning Scientist, Adobe Systemsadobe.com üzerinde doğrulanmış e-posta adresine sahip
Justine CassellCarnegie Mellon Universitycs.cmu.edu üzerinde doğrulanmış e-posta adresine sahip
Elijah MayfieldCarnegie Mellon Universitycmu.edu üzerinde doğrulanmış e-posta adresine sahip
Samantha FinkelsteinDoctoral student, Carnegie Mellon Universitycs.cmu.edu üzerinde doğrulanmış e-posta adresine sahip
Eliane Stampfer WieseResearch Assistant Professor, School of Computing, University of Utahutah.edu üzerinde doğrulanmış e-posta adresine sahip
Norman BierOpen Learning Initiative, Carnegie Mellon Universityandrew.cmu.edu üzerinde doğrulanmış e-posta adresine sahip
Machi ShimmeiNorth Carolina State Universityncsu.edu üzerinde doğrulanmış e-posta adresine sahip
Vincent AlevenProfessor of Human-Computer Interaction, Carnegie Mellon Universityandrew.cmu.edu üzerinde doğrulanmış e-posta adresine sahip
Neil HeffernanProfessor of Computer Science, Director of the Learning Sciences and Technologiescs.wpi.edu üzerinde doğrulanmış e-posta adresine sahip
Christos FaloutsosCMUcs.cmu.edu üzerinde doğrulanmış e-posta adresine sahip
John StamperHuman-Computer Interaction Institute, Carnegie Mellon Universitystamper.org üzerinde doğrulanmış e-posta adresine sahip

Noboru Matsuda

Associate Professor, North Carolina State University

ncsu.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

Artificial Intelligence in Education Intelligent Tutoring Systems User Modeling Learning Sciences Educational Technology


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
A Machine Learning Approach for Automatic Student Model Discovery. N Li, WW Cohen, KR Koedinger, N Matsuda EDM, 31-40, 2011	110	2011
Teaching the teacher: tutoring SimStudent leads to more effective cognitive tutor authoring N Matsuda, WW Cohen, KR Koedinger International Journal of Artificial Intelligence in Education 25 (1), 1-34, 2015	83	2015
Cognitive anatomy of tutor learning: Lessons learned with SimStudent. N Matsuda, E Yarzebinski, V Keiser, R Raizada, WW Cohen, ... Journal of Educational Psychology 105 (4), 1152, 2013	68	2013
Advanced Geometry Tutor: An intelligent tutor that teaches proof-writing with construction. N Matsuda, K VanLehn AIED 125, 443-450, 2005	61	2005
Gramy: A geometry theorem prover capable of construction N Matsuda, K Vanlehn Journal of Automated Reasoning 32 (1), 3-33, 2004	57	2004
Predicting students' performance with simstudent: Learning cognitive skills from observation N Matsuda, WW Cohen, J Sewall, G Lacerda, KR Koedinger Frontiers in Artificial Intelligence and Applications 158, 467, 2007	56	2007
" Oh dear stacy!" social interaction, elaboration, and learning with teachable agents A Ogan, S Finkelstein, E Mayfield, C D'Adamo, N Matsuda, J Cassell Proceedings of the SIGCHI conference on human factors in computing systems …, 2012	55	2012
Learning by teaching SimStudent: Technical accomplishments and an initial use with students N Matsuda, V Keiser, R Raizada, A Tu, G Stylianides, WW Cohen, ... International Conference on Intelligent Tutoring Systems, 317-326, 2010	43	2010
A computational model of how learner errors arise from weak prior knowledge N Matsuda, A Lee, WW Cohen, KR Koedinger Proceedings of the Annual Conference of the Cognitive Science Society …, 2009	43	2009
Integrating representation learning and skill learning in a human-like intelligent agent N Li, N Matsuda, WW Cohen, KR Koedinger Artificial Intelligence 219, 67-91, 2015	42	2015
Studying the effect of tutor learning using a teachable agent that asks the student tutor for explanations N Matsuda, WW Cohen, KR Koedinger, V Keiser, R Raizada, ... 2012 IEEE Fourth International Conference On Digital Game And Intelligent …, 2012	39	2012
Evaluating a Simulated Student Using Real Students Data for Training and Testing N Matsuda, WW Cohen, J Sewall, G Lacerda, KR Koedinger User Modeling 2007, 107-116, 2007	39*	2007
Learning by teaching SimStudent–An initial classroom baseline study comparing with Cognitive Tutor N Matsuda, E Yarzebinski, V Keiser, R Raizada, GJ Stylianides, ... International Conference on Artificial Intelligence in Education, 213-221, 2011	36	2011
Authoring tutors with SimStudent: An evaluation of efficiency and model quality CJ MacLellan, KR Koedinger, N Matsuda International conference on intelligent tutoring systems, 551-560, 2014	32	2014
Learning by teaching: Evidence-based strategies to enhance learning in the classroom D Duran, K Topping Taylor & Francis, 2017	30	2017
Applying programming by demonstration in an intelligent authoring tool for cognitive tutors N Matsuda, WW Cohen, KR Koedinger Human-Computer Interaction Institute, 245, 2005	29	2005
Studying the effect of a competitive game show in a learning by teaching environment N Matsuda, E Yarzebinski, V Keiser, R Raizada, GJ Stylianides, ... International Journal of Artificial Intelligence in Education 23 (1), 1-21, 2013	24	2013
Why tutored problem solving may be better than example study: Theoretical implications from a simulated-student study N Matsuda, WW Cohen, J Sewall, G Lacerda, KR Koedinger International Conference on Intelligent Tutoring Systems, 111-121, 2008	20	2008
Machine Beats Experts: Automatic Discovery of Skill Models for Data-Driven Online Course Refinement. N Matsuda, T Furukawa, N Bier, C Faloutsos International Educational Data Mining Society, 2015	16	2015
Modeling hinting strategies for geometry theorem proving N Matsuda, K VanLehn International Conference on User Modeling, 373-377, 2003	16	2003

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