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Yun Huang
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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
1822014
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
1822014
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
1142014
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
402017
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
392018
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
392015
Content database generation
JPG Brenes, J Behrens, Y Huang
US Patent 10,318,499, 2019
362019
Modeling Skill Combination Patterns for Deeper Knowledge Tracing.
Y Huang, JDG Hollstein, P Brusilovsky
User Modeling Adaptation and Personalization (Extended Proceedings), 2016
302016
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
292016
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
272015
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
222021
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
182016
Predicting Student Performance in Solving Parameterized Exercises
S Sahebi, Y Huang, P Brusilovsky
Proceedings of 12th International Conference on Intelligent Tutoring Systems, 2014
172014
Concept-level knowledge visualization for supporting self-regulated learning
J Barria-Pineda, J Guerra, Y Huang, P Brusilovsky
Companion Proceedings of the 22nd International Conference on Intelligent …, 2017
162017
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
152020
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
132016
Supporting skill integration in an intelligent tutoring system for code tracing
Y Huang, P Brusilovsky, J Guerra, K Koedinger, C Schunn
Journal of Computer Assisted Learning, 1-24, 2022
112022
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
102017
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
102015
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
102014
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