Modeling individualization in a bayesian networks implementation of knowledge tracing ZA Pardos, NT Heffernan User Modeling, Adaptation, and Personalization: 18th International …, 2010 | 390 | 2010 |
KT-IDEM: Introducing item difficulty to the knowledge tracing model ZA Pardos, NT Heffernan User Modeling, Adaption and Personalization: 19th International Conference …, 2011 | 275 | 2011 |
Mining big data in education: Affordances and challenges C Fischer, ZA Pardos, RS Baker, JJ Williams, P Smyth, R Yu, S Slater, ... Review of Research in Education 44 (1), 130-160, 2020 | 235 | 2020 |
Affective states and state tests: Investigating how affect throughout the school year predicts end of year learning outcomes ZA Pardos, RSJD Baker, MOCZ San Pedro, SM Gowda, SM Gowda Proceedings of the third international conference on learning analytics and …, 2013 | 182 | 2013 |
Affective States and State Tests: Investigating How Affect and Engagement during the School Year Predict End-of-Year Learning Outcomes. ZA Pardos, RSJD Baker, MOCZ San Pedro, SM Gowda, SM Gowda Journal of Learning Analytics 1 (1), 107-128, 2014 | 172 | 2014 |
Data mining and education KR Koedinger, S D'Mello, EA McLaughlin, ZA Pardos, CP Rosé Wiley Interdisciplinary Reviews: Cognitive Science 6 (4), 333-353, 2015 | 157 | 2015 |
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 |
Using HMMs and bagged decision trees to leverage rich features of user and skill from an intelligent tutoring system dataset ZA Pardos, NT Heffernan Journal of Machine Learning Research W & CP, 2001 | 107* | 2001 |
Adapting bayesian knowledge tracing to a massive open online course in edx Z Pardos, Y Bergner, D Seaton, D Pritchard Educational Data Mining 2013, 2013 | 105 | 2013 |
Goal-based course recommendation W Jiang, ZA Pardos, Q Wei Proceedings of the 9th international conference on learning analytics …, 2019 | 104 | 2019 |
The sum is greater than the parts: Ensembling models of student knowledge in educational software ZA Pardos, SM Gowda, RSJ Baker, NT Heffernan ACM SIGKDD explorations newsletter 13 (2), 37-44, 2012 | 104 | 2012 |
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 | 92 | 2011 |
Navigating the parameter space of Bayesian Knowledge Tracing models: Visualizations of the convergence of the Expectation Maximization algorithm Z Pardos, N Heffernan Educational Data Mining 2010, 2010 | 89 | 2010 |
Enabling real-time adaptivity in MOOCs with a personalized next-step recommendation framework ZA Pardos, S Tang, D Davis, CV Le Proceedings of the fourth (2017) ACM conference on learning@ scale, 23-32, 2017 | 82 | 2017 |
Clustering students to generate an ensemble to improve standard test score predictions S Trivedi, ZA Pardos, NT Heffernan Artificial Intelligence in Education: 15th International Conference, AIED …, 2011 | 74 | 2011 |
The effect of model granularity on student performance prediction using Bayesian networks ZA Pardos, NT Heffernan, B Anderson, CL Heffernan User Modeling 2007: 11th International Conference, UM 2007, Corfu, Greece …, 2007 | 68 | 2007 |
Connectionist recommendation in the wild: on the utility and scrutability of neural networks for personalized course guidance ZA Pardos, Z Fan, W Jiang User modeling and user-adapted interaction 29, 487-525, 2019 | 67 | 2019 |
Ensembling predictions of student knowledge within intelligent tutoring systems RSJ Baker, ZA Pardos, SM Gowda, BB Nooraei, NT Heffernan User Modeling, Adaption and Personalization: 19th International Conference …, 2011 | 64 | 2011 |
The utility of clustering in prediction tasks S Trivedi, ZA Pardos, NT Heffernan arXiv preprint arXiv:1509.06163, 2015 | 63 | 2015 |
Spectral clustering in educational data mining S Trivedi, Z Pardos, G Sárközy, N Heffernan Educational Data Mining 2011, 2010 | 62 | 2010 |