Yun Huang

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 11

Top Topics

Causal Bayesian Networks

Item Response Theory

Observational Data

Top Venues

Publications

Meng Xia, Xinyi Zhao, Dong Sun, Yun Huang, Jonathan Sewall, Vincent Aleven
Involving Teachers in the Data-Driven Improvement of Intelligent Tutors: A Prototyping Study. AIED (2023)
Yun Huang, Peter Brusilovsky, Julio Guerra, Kenneth R. Koedinger, Christian Schunn
Supporting skill integration in an intelligent tutoring system for code tracing. J. Comput. Assist. Learn. 39 (2) (2023)
Yun Huang, Steven Dang, J. Elizabeth Richey, Michael W. Asher, Nikki G. Lobczowski, Danielle R. Chine, Elizabeth A. McLaughlin, Judith M. Harackiewicz, Vincent Aleven, Kenneth R. Koedinger
Item Response Theory-Based Gaming Detection. EDM (2022)
Jordan Barria-Pineda, Julio Guerra, Yun Huang, Peter Brusilovsky
Concept-Level Knowledge Visualization For Supporting Self-Regulated Learning. IUI Companion (2017)
Igor Labutov, Yun Huang, Peter Brusilovsky, Daqing He
Semi-Supervised Techniques for Mining Learning Outcomes and Prerequisites. KDD (2017)
Yun Huang, Julio Daniel Guerra Hollstein, Jordan Barria-Pineda, Peter Brusilovsky
Learner Modeling for Integration Skills. UMAP (2017)
Yun Huang, Julio Daniel Guerra Hollstein, Peter Brusilovsky
Modeling Skill Combination Patterns for Deeper Knowledge Tracing. UMAP (Extended Proceedings) (2016)
Rui Meng, Shuguang Han, Yun Huang, Daqing He, Peter Brusilovsky
Knowledge-Based Content Linking for Online Textbooks. WI (2016)
Yun Huang, Michael Yudelson, Shuguang Han, Daqing He, Peter Brusilovsky
A Framework for Dynamic Knowledge Modeling in Textbook-Based Learning. UMAP (2016)
Yun Huang, Julio Guerra, Peter Brusilovsky
A Data-Driven Framework of Modeling Skill Combinations for Deeper Knowledge Tracing. EDM (2016)
Yun Huang, Peter Brusilovsky
Towards Modeling Chunks in a Knowledge Tracing Framework for Students' Deep Learning. EDM (2016)
Yun Huang, José P. González-Brenes, Rohit Kumar, Peter Brusilovsky
A Framework for Multifaceted Evaluation of Student Models. EDM (2015)
Julio Guerra, Yun Huang, Roya Hosseini, Peter Brusilovsky
Exploring the Effects of Open Social Student Model Beyond Social Comparison. AIED Workshops (2015)
Julio Guerra, Yun Huang, Roya Hosseini, Peter Brusilovsky
Graph Analysis of Student Model Networks. EDM (Workshops) (2015)
José P. González-Brenes, Yun Huang
Using Data from Real and Simulated Learners to Evaluate Adaptive Tutoring Systems. AIED Workshops (2015)
José P. González-Brenes, Yun Huang
Your Model Is Predictive - but Is It Useful? Theoretical and Empirical Considerations of a New Paradigm for Adaptive Tutoring Evaluation. EDM (2015)
Yun Huang, José P. González-Brenes, Peter Brusilovsky
Challenges of Using Observational Data to Determine the Importance of Example Usage. AIED (2015)
Yun Huang, José P. González-Brenes, Peter Brusilovsky
General Features in Knowledge Tracing to Model Multiple Subskills, Temporal Item Response Theory, and Expert Knowledge. EDM (2014)
Yun Huang, Yanbo Xu, Peter Brusilovsky
Doing More with Less: Student Modeling and Performance Prediction with Reduced Content Models. UMAP (2014)
Shaghayegh Sahebi, Yun Huang, Peter Brusilovsky
Predicting Student Performance in Solving Parameterized Exercises. Intelligent Tutoring Systems (2014)
Mohammad Khajah, Yun Huang, José P. González-Brenes, Michael Mozer, Peter Brusilovsky
Integrating Knowledge Tracing and Item Response Theory: A Tale of Two Frameworks. UMAP Workshops (2014)