Yun Huang

27 papers A* 1A 7B 8Journal 4Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
An Integrated Platform for Studying Learning with Intelligent Tutoring Systems: CTAT+TutorShop.
CoRR
Vincent Aleven, Conrad Borchers, Yun Huang, Tomohiro Nagashima, Bruce M. McLaren, Paulo Carvalho, Octav Popescu, Jonathan Sewall, Kenneth R. Koedinger
2024 J jnl
Why Students Cannot Easily Integrate Component Skills: An Investigation of the Composition Effect in Programming.
ACM Trans. Comput. Educ.
Yun Huang, Christian D. Schunn, Julio Guerra, Peter Brusilovsky
2023 A conf
Involving Teachers in the Data-Driven Improvement of Intelligent Tutors: A Prototyping Study.
AIED
Meng Xia, Xinyi Zhao, Dong Sun, Yun Huang, Jonathan Sewall, Vincent Aleven
2023 J jnl
Supporting skill integration in an intelligent tutoring system for code tracing.
J. Comput. Assist. Learn.
Yun Huang, Peter Brusilovsky, Julio Guerra, Kenneth R. Koedinger, Christian Schunn
2023 J jnl
Using latent variable models to make gaming-the-system detection robust to context variations.
User Model. User Adapt. Interact.
Yun Huang, Steven Dang, J. Elizabeth Richey, Pallavi Chhabra, Danielle R. Thomas, Michael W. Asher, Nikki G. Lobczowski, Elizabeth A. McLaughlin, Judith M. Harackiewicz, Vincent Aleven, Kenneth R. Koedinger
2022 B conf
Item Response Theory-Based Gaming Detection.
EDM
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
2021 A conf
A General Multi-method Approach to Data-Driven Redesign of Tutoring Systems.
LAK
Yun Huang, Nikki G. Lobczowski, J. Elizabeth Richey, Elizabeth A. McLaughlin, Michael W. Asher, Judith M. Harackiewicz, Vincent Aleven, Kenneth R. Koedinger
2020 — conf
A General Multi-method Approach to Design-Loop Adaptivity in Intelligent Tutoring Systems.
AIED (2)
Yun Huang, Vincent Aleven, Elizabeth A. McLaughlin, Kenneth R. Koedinger
2017 — conf
Concept-Level Knowledge Visualization For Supporting Self-Regulated Learning.
IUI Companion
Jordan Barria-Pineda, Julio Guerra, Yun Huang, Peter Brusilovsky
2017 A conf
Learner Modeling for Integration Skills.
UMAP
Yun Huang, Julio Daniel Guerra Hollstein, Jordan Barria-Pineda, Peter Brusilovsky
2017 A* conf
Semi-Supervised Techniques for Mining Learning Outcomes and Prerequisites.
KDD
Igor Labutov, Yun Huang, Peter Brusilovsky, Daqing He
2016 B conf
A Data-Driven Framework of Modeling Skill Combinations for Deeper Knowledge Tracing.
EDM
Yun Huang, Julio Guerra, Peter Brusilovsky
2016 A conf
A Framework for Dynamic Knowledge Modeling in Textbook-Based Learning.
UMAP
Yun Huang, Michael Yudelson, Shuguang Han, Daqing He, Peter Brusilovsky
2016 A conf
Deeper Knowledge Tracing by Modeling Skill Application Context for Better Personalized Learning.
UMAP
Yun Huang
2016 B conf
Knowledge-Based Content Linking for Online Textbooks.
WI
Rui Meng, Shuguang Han, Yun Huang, Daqing He, Peter Brusilovsky
2016 — conf
Modeling Skill Combination Patterns for Deeper Knowledge Tracing.
UMAP (Extended Proceedings)
Yun Huang, Julio Daniel Guerra Hollstein, Peter Brusilovsky
2016 B conf
Towards Modeling Chunks in a Knowledge Tracing Framework for Students' Deep Learning.
EDM
Yun Huang, Peter Brusilovsky
2015 B conf
A Framework for Multifaceted Evaluation of Student Models.
EDM
Yun Huang, José P. González-Brenes, Rohit Kumar, Peter Brusilovsky
2015 A conf
Challenges of Using Observational Data to Determine the Importance of Example Usage.
AIED
Yun Huang, José P. González-Brenes, Peter Brusilovsky
2015 — conf
Exploring the Effects of Open Social Student Model Beyond Social Comparison.
AIED Workshops
Julio Guerra, Yun Huang, Roya Hosseini, Peter Brusilovsky
2015 — conf
Graph Analysis of Student Model Networks.
EDM (Workshops)
Julio Guerra, Yun Huang, Roya Hosseini, Peter Brusilovsky
2015 — conf
Using Data from Real and Simulated Learners to Evaluate Adaptive Tutoring Systems.
AIED Workshops
José P. González-Brenes, Yun Huang
2015 B conf
Your Model Is Predictive - but Is It Useful? Theoretical and Empirical Considerations of a New Paradigm for Adaptive Tutoring Evaluation.
EDM
José P. González-Brenes, Yun Huang
2014 A conf
Doing More with Less: Student Modeling and Performance Prediction with Reduced Content Models.
UMAP
Yun Huang, Yanbo Xu, Peter Brusilovsky
2014 B conf
General Features in Knowledge Tracing to Model Multiple Subskills, Temporal Item Response Theory, and Expert Knowledge.
EDM
Yun Huang, José P. González-Brenes, Peter Brusilovsky
2014 — conf
Integrating Knowledge Tracing and Item Response Theory: A Tale of Two Frameworks.
UMAP Workshops
Mohammad Khajah, Yun Huang, José P. González-Brenes, Michael Mozer, Peter Brusilovsky
2014 B conf
Predicting Student Performance in Solving Parameterized Exercises.
Intelligent Tutoring Systems
Shaghayegh Sahebi, Yun Huang, Peter Brusilovsky