Yun Huang
Yun Huang
Postdoc, HCII, Carnegie Mellon University & Visiting researcher, Austral University of Chile
Email yang diverifikasi di cmu.edu - Beranda
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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
1252014
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
1172014
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
712014
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
362015
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
242015
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
222017
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
222016
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
212018
Modeling Skill Combination Patterns for Deeper Knowledge Tracing.
Y Huang, JDG Hollstein, P Brusilovsky
User Modeling Adaptation and Personalization (Extended Proceedings), 2016
202016
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
112017
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
112016
Predicting Student Performance in Solving Parameterized Exercises
S Sahebi, Y Huang, P Brusilovsky
Proceedings of 12th International Conference on Intelligent Tutoring Systems, 2014
112014
A Data-Driven Framework of Modeling Skill Combinations for Deeper Knowledge Tracing.
Y Huang, J Guerra, P Brusilovsky
Educational Data Mining, 593-594, 2016
102016
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
92016
Summary on CWMT2011 MT Translation Evaluation
H Zhao, Y Lv, G Ben, Y Huang, Q Liu
Journal of Chinese Information Processing 26 (1), 22-31, 2012
82012
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
72014
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
62015
A general multi-method approach to design-loop adaptivity in intelligent tutoring systems
Y Huang, V Aleven, E McLaughlin, K Koedinger
International Conference on Artificial Intelligence in Education, 124-129, 2020
42020
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
42017
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
42015
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