| Discriminative models for multi-class object layout C Desai, D Ramanan, CC Fowlkes International journal of computer vision 95 (1), 1-12, 2011 | 867* | 2011 |
| Applications of AI in Education J Beck, M Stern, E Haugsjaa XRDS: Crossroads, The ACM Magazine for Students 3 (1), 11-15, 1996 | 382 | 1996 |
| Adapting to when students game an intelligent tutoring system RSJ d Baker, AT Corbett, KR Koedinger, S Evenson, I Roll, AZ Wagner, ... International conference on intelligent tutoring systems, 392-401, 2006 | 288 | 2006 |
| High-level student modeling with machine learning JE Beck, BP Woolf International Conference on Intelligent Tutoring Systems, 584-593, 2000 | 214 | 2000 |
| Some useful tactics to modify, map and mine data from intelligent tutors J Mostow, J Beck Natural Language Engineering 12 (2), 195-208, 2006 | 157 | 2006 |
| ADVISOR: A machine learning architecture for intelligent tutor construction J Beck, BP Woolf, CR Beal AAAI/IAAI 2000 (552-557), 1-2, 2000 | 150 | 2000 |
| An educational data mining tool to browse tutor-student interactions: Time will tell J Mostow, J Beck, H Cen, A Cuneo, E Gouvea, C Heiner Proceedings of the Workshop on Educational Data Mining, National Conference …, 2005 | 146 | 2005 |
| Wheel-spinning: Students who fail to master a skill JE Beck, Y Gong International conference on artificial intelligence in education, 431-440, 2013 | 143 | 2013 |
| Comparing knowledge tracing and performance factor analysis by using multiple model fitting procedures Y Gong, JE Beck, NT Heffernan International conference on intelligent tutoring systems, 35-44, 2010 | 143 | 2010 |
| How who should practice: Using learning decomposition to evaluate the efficacy of different types of practice for different types of students JE Beck, J Mostow International conference on intelligent tutoring systems, 353-362, 2008 | 136 | 2008 |
| Identifiability: A fundamental problem of student modeling JE Beck, K Chang International Conference on User Modeling, 137-146, 2007 | 130 | 2007 |
| Does help help? Introducing the Bayesian Evaluation and Assessment methodology JE Beck, K Chang, J Mostow, A Corbett International conference on intelligent tutoring systems, 383-394, 2008 | 129 | 2008 |
| A Bayes net toolkit for student modeling in intelligent tutoring systems K Chang, J Beck, J Mostow, A Corbett International Conference on Intelligent Tutoring Systems, 104-113, 2006 | 117 | 2006 |
| Macroadapting Animalwatch to gender and cognitive differences with respect to hint interactivity and symbolism I Arroyo, JE Beck, BP Woolf, CR Beal, K Schultz International conference on intelligent tutoring systems, 574-583, 2000 | 107 | 2000 |
| Going deeper with deep knowledge tracing. X Xiong, S Zhao, EG Van Inwegen, JE Beck International Educational Data Mining Society, 2016 | 103 | 2016 |
| Using the student model to control problem difficulty J Beck, M Stern, BP Woolf User Modeling, 277-288, 1997 | 90 | 1997 |
| Negative symptoms in schizophrenia: considerations for clinical trials HJ Möller, HM Van Praag, B Aufdembrinke, P Bailey, TRE Barnes, J Beck, ... Psychopharmacology 115 (1), 221-228, 1994 | 78 | 1994 |
| How to construct more accurate student models: Comparing and optimizing knowledge tracing and performance factor analysis Y Gong, JE Beck, NT Heffernan International Journal of Artificial Intelligence in Education 21 (1-2), 27-46, 2011 | 77 | 2011 |
| Growth and Maturity of Intelligent Tutoring Systems O Sulisel Information Technology Journal 7 (7), 9-37, 2005 | 75 | 2005 |
| Using response times to model student disengagement JE Beck Proceedings of the ITS2004 Workshop on Social and Emotional Intelligence in …, 2004 | 75 | 2004 |
