| 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 | 449 | 2014 |
| Modeling individualization in a bayesian networks implementation of knowledge tracing ZA Pardos, NT Heffernan User Modeling, Adaptation, and Personalization: 18th International …, 2010 | 392 | 2010 |
| 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 | 392 | 2009 |
| 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 | 350 | 2008 |
| KT-IDEM: Introducing item difficulty to the knowledge tracing model ZA Pardos, NT Heffernan User Modeling, Adaption and Personalization: 19th International Conference …, 2011 | 277 | 2011 |
| 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 | 265 | 2009 |
| 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 | 233 | 2004 |
| Context-aware attentive knowledge tracing A Ghosh, N Heffernan, AS Lan Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 196 | 2020 |
| 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 | 188 | 2005 |
| 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 | 178 | 2014 |
| 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 | 176 | 2006 |
| 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 | 169 | 2016 |
| 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 | 166 | 2013 |
| Comparing knowledge tracing and performance factor analysis by using multiple model fitting Y Gong, JE Beck, NT Heffernan ITS2010 Intelligent Tutoring Systems. LNCS 6094, 35-44, 2010 | 165 | 2010 |
| 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 | 156 | 2010 |
| An intelligent tutoring system incorporating a model of an experienced human tutor NT Heffernan, KR Koedinger Intelligent Tutoring Systems: 6th International Conference, ITS 2002 …, 2002 | 145 | 2002 |
| 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 | 123 | 2006 |
| Using fine-grained skill models to fit student performance with Bayesian networks ZA Pardos, NT Heffernan, B Anderson, CL Heffernan, WP Schools Workshop in Educational Data Mining held at the 8th International Conference …, 2006 | 114 | 2006 |
| Predicting state test scores better with intelligent tutoring systems: developing metrics to measure assistance required M Feng, NT Heffernan, KR Koedinger Intelligent Tutoring Systems: 8th International Conference, ITS 2006 …, 2006 | 113 | 2006 |
| 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 | 107 | 2017 |
Ken KoedingerHCII, Carnegie Mellon UniversityVerified email at cmu.edu
