| General features in knowledge tracing to model multiple subskills, temporal item response theory, and expert knowledge Y Huang*, JP González-Brenes*, P Brusilovsky (*equal contribution) The 7th International Conference on Educational Data Mining, 84-91, 2014 | 166 | 2014 |
| General features in knowledge tracing: applications to multiple subskills, temporal item response theory, and expert knowledge JP González-Brenes*, Y Huang*, P Brusilovsky (*equal contribution) Proceedings of the 7th International Conference on Educational Data Mining, 2014 | 155 | 2014 |
| Integrating Knowledge Tracing and Item Response Theory: A Tale of Two Frameworks M Khajah*, Y Huang*, JP González-Brenes*, MC Mozer, ... The 4th International Workshop on Personalization Approaches in Learning …, 2014 | 111 | 2014 |
| Your model is predictive— but is it useful? Theoretical and Empirical Considerations of a New Paradigm for Adaptive Tutoring Evaluation JP Gonzalez-Brenes, Y Huang, P Brusilovsky Proceedings of the 8th International Conference on Educational Data Mining, 2015 | 38 | 2015 |
| Semi-supervised techniques for mining learning outcomes and prerequisites I Labutov, Y Huang, P Brusilovsky, D He Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 34 | 2017 |
| Dynamic knowledge modeling with heterogeneous activities for adaptive textbooks K Thaker*, Y Huang*, P Brusilovsky, H Daqing (*equal contribution) The 11th International Conference on Educational Data Mining, 592-595, 2018 | 33 | 2018 |
| A framework for dynamic knowledge modeling in textbook-based learning Y Huang, M Yudelson, S Han, D He, P Brusilovsky Proceedings of the 2016 conference on user modeling adaptation and …, 2016 | 28 | 2016 |
| Modeling Skill Combination Patterns for Deeper Knowledge Tracing. Y Huang, JDG Hollstein, P Brusilovsky User Modeling Adaptation and Personalization (Extended Proceedings), 2016 | 28 | 2016 |
| A Framework for Multifaceted Evaluation of Student Models Y Huang, JP González-Brenes, P Brusilovsky Proceedings of the 8th International Conference on Educational Data Mining, 2015 | 26 | 2015 |
| A general multi-method approach to data-driven redesign of tutoring systems Y Huang, NG Lobczowski, JE Richey, EA McLaughlin, MW Asher, ... LAK21: 11th International Learning Analytics and Knowledge Conference, 161-172, 2021 | 17 | 2021 |
| Knowledge-based content linking for online textbooks R Meng, S Han, Y Huang, D He, P Brusilovsky 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 18-25, 2016 | 17 | 2016 |
| Concept-level knowledge visualization for supporting self-regulated learning J Barria-Pineda, J Guerra, Y Huang, P Brusilovsky Proceedings of the 22nd International Conference on intelligent user …, 2017 | 14 | 2017 |
| Predicting Student Performance in Solving Parameterized Exercises S Sahebi, Y Huang, P Brusilovsky Proceedings of 12th International Conference on Intelligent Tutoring Systems, 2014 | 14 | 2014 |
| A general multi-method approach to design-loop adaptivity in intelligent tutoring systems Y Huang, V Aleven, E McLaughlin, K Koedinger Artificial Intelligence in Education: 21st International Conference, AIED …, 2020 | 13 | 2020 |
| Deeper knowledge tracing by modeling skill application context for better personalized learning Y Huang Proceedings of the 2016 Conference on user modeling adaptation and …, 2016 | 11 | 2016 |
| Learner modeling for integration skills Y Huang, J Guerra-Hollstein, J Barria-Pineda, P Brusilovsky Proceedings of the 25th Conference on user modeling, adaptation and …, 2017 | 10 | 2017 |
| Using Data from Real and Simulated Learners to Evaluate Adaptive Tutoring Systems JP Gonzalez-Brenes, Y Huang 2nd AIED Workshop on Simulated Learners at the 17th International Conference …, 2015 | 10 | 2015 |
| Doing More with Less: Student Modeling and Performance Prediction with Reduced Content Models Y Huang, Y Xu, P Brusilovsky The 22nd Conference on User Modeling, Adaptation and Personalization, 2014 | 9 | 2014 |
| A Data-Driven Framework of Modeling Skill Combinations for Deeper Knowledge Tracing. Y Huang, J Guerra, P Brusilovsky Educational Data Mining, 593-594, 2016 | 8 | 2016 |
| Challenges of Using Observational Data to Determine the Importance of Example Usage Y Huang, JP González-Brenes, P Brusilovsky Proceedings of the 17th International Conference on Artificial Intelligence …, 2015 | 7 | 2015 |
Peter BrusilovskyProfessor, School of Computing and Information, University of PittsburghVerified email at pitt.edu
