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Neil Heffernan
Neil Heffernan
Professor of Computer Science, Director of the Learning Sciences and Technologies
Verified email at cs.wpi.edu - Homepage
Title
Cited by
Cited by
Year
The ASSISTments ecosystem: Building a platform that brings scientists and teachers together for minimally invasive research on human learning and teaching
NT Heffernan, CL Heffernan
International Journal of Artificial Intelligence in Education 24, 470-497, 2014
6662014
Addressing the assessment challenge with an online system that tutors as it assesses
M Feng, N Heffernan, K Koedinger
User modeling and user-adapted interaction 19, 243-266, 2009
5292009
Modeling individualization in a bayesian networks implementation of knowledge tracing
ZA Pardos, NT Heffernan
User Modeling, Adaptation, and Personalization: 18th International …, 2010
4732010
Context-aware attentive knowledge tracing
A Ghosh, N Heffernan, AS Lan
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
4272020
Why students engage in “gaming the system” behavior in interactive learning environments
R Baker, J Walonoski, N Heffernan, I Roll, A Corbett, K Koedinger
Journal of Interactive Learning Research 19 (2), 185-224, 2008
4082008
KT-IDEM: Introducing item difficulty to the knowledge tracing model
ZA Pardos, NT Heffernan
User Modeling, Adaption and Personalization: 19th International Conference …, 2011
3502011
A comparison of traditional homework to computer-supported homework
M Mendicino, L Razzaq, NT Heffernan
Journal of Research on Technology in Education 41 (3), 331-359, 2009
2872009
Opening the door to non-programmers: Authoring intelligent tutor behavior by demonstration
KR Koedinger, V Aleven, N Heffernan, B McLaren, M Hockenberry
Intelligent Tutoring Systems: 7th International Conference, ITS 2004, Maceió …, 2004
2382004
Population validity for educational data mining models: A case study in affect detection
J Ocumpaugh, R Baker, S Gowda, N Heffernan, C Heffernan
British Journal of Educational Technology 45 (3), 487-501, 2014
2202014
Axis: Generating explanations at scale with learnersourcing and machine learning
JJ Williams, J Kim, A Rafferty, S Maldonado, KZ Gajos, WS Lasecki, ...
Proceedings of the third (2016) ACM conference on learning@ scale, 379-388, 2016
2192016
A quasi-experimental evaluation of an on-line formative assessment and tutoring system
KR Koedinger, EA McLaughlin, NT Heffernan
Journal of Educational Computing Research 43 (4), 489-510, 2010
2022010
The Assistment project: Blending assessment and assisting
L Razzaq, M Feng, G Nuzzo-Jones, NT Heffernan, KR Koedinger, ...
Proceedings of the 12th annual conference on artificial intelligence in …, 2005
1952005
Detection and analysis of off-task gaming behavior in intelligent tutoring systems
JA Walonoski, NT Heffernan
Intelligent Tutoring Systems: 8th International Conference, ITS 2006 …, 2006
1932006
Comparing knowledge tracing and performance factor analysis by using multiple model fitting procedures
Y Gong, JE Beck, NT Heffernan
Intelligent Tutoring Systems: 10th International Conference, ITS 2010 …, 2010
1812010
Predicting college enrollment from student interaction with an intelligent tutoring system in middle school
MO Pedro, R Baker, A Bowers, N Heffernan
Educational Data Mining 2013, 2013
1772013
An intelligent tutoring system incorporating a model of an experienced human tutor
NT Heffernan, KR Koedinger
International Conference on Intelligent Tutoring Systems, 596-608, 2002
1532002
Incorporating rich features into deep knowledge tracing
L Zhang, X Xiong, S Zhao, A Botelho, NT Heffernan
Proceedings of the fourth (2017) ACM conference on learning@ scale, 169-172, 2017
1462017
Informing teachers live about student learning: Reporting in the assistment system
M Feng, NT Heffernan
Technology Instruction Cognition and Learning 3 (1/2), 63, 2006
1292006
Improving sensor-free affect detection using deep learning
AF Botelho, RS Baker, NT Heffernan
Artificial Intelligence in Education: 18th International Conference, AIED …, 2017
1282017
Does Time Matter? Modeling the Effect of Time with Bayesian Knowledge Tracing.
Y Qiu, Y Qi, H Lu, ZA Pardos, NT Heffernan
EDM, 139-148, 2011
1262011
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