Yun Huang

According to our database, Yun Huang authored at least 25 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Using latent variable models to make gaming-the-system detection robust to context variations.

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

User Model. User Adapt. Interact., November, 2023

Supporting skill integration in an intelligent tutoring system for code tracing.

Yun Huang, Peter Brusilovsky, Julio Guerra, Kenneth R. Koedinger, Christian Schunn

J. Comput. Assist. Learn., April, 2023

Involving Teachers in the Data-Driven Improvement of Intelligent Tutors: A Prototyping Study.

Meng Xia, Xinyi Zhao, Dong Sun, Yun Huang, Jonathan Sewall, Vincent Aleven

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

2022

Item Response Theory-Based Gaming Detection.

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

Proceedings of the 15th International Conference on Educational Data Mining, 2022

2021

A General Multi-method Approach to Data-Driven Redesign of Tutoring Systems.

Yun Huang, Nikki G. Lobczowski, J. Elizabeth Richey, Elizabeth A. McLaughlin, Michael W. Asher, Judith M. Harackiewicz, Vincent Aleven, Kenneth R. Koedinger

Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

2020

A General Multi-method Approach to Design-Loop Adaptivity in Intelligent Tutoring Systems.

Yun Huang, Vincent Aleven, Elizabeth A. McLaughlin, Kenneth R. Koedinger

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2017

Learner Modeling for Integration Skills.

Yun Huang, Julio Daniel Guerra Hollstein, Jordan Barria-Pineda, Peter Brusilovsky

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Semi-Supervised Techniques for Mining Learning Outcomes and Prerequisites.

Igor Labutov, Yun Huang, Peter Brusilovsky, Daqing He

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Concept-Level Knowledge Visualization For Supporting Self-Regulated Learning.

Jordan Barria-Pineda, Julio Guerra, Yun Huang, Peter Brusilovsky

Proceedings of the Companion Publication of the 22nd International Conference on Intelligent User Interfaces, 2017

2016

Knowledge-Based Content Linking for Online Textbooks.

Rui Meng, Shuguang Han, Yun Huang, Daqing He, Peter Brusilovsky

Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

A Framework for Dynamic Knowledge Modeling in Textbook-Based Learning.

Yun Huang, Michael Yudelson, Shuguang Han, Daqing He, Peter Brusilovsky

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Modeling Skill Combination Patterns for Deeper Knowledge Tracing.

Yun Huang, Julio Daniel Guerra Hollstein, Peter Brusilovsky

Proceedings of the Late-breaking Results, 2016

Deeper Knowledge Tracing by Modeling Skill Application Context for Better Personalized Learning.

Yun Huang

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

A Data-Driven Framework of Modeling Skill Combinations for Deeper Knowledge Tracing.

Yun Huang, Julio Guerra, Peter Brusilovsky

Proceedings of the 9th International Conference on Educational Data Mining, 2016

Towards Modeling Chunks in a Knowledge Tracing Framework for Students' Deep Learning.

Yun Huang, Peter Brusilovsky

Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015

A Framework for Multifaceted Evaluation of Student Models.

Yun Huang, José P. González-Brenes, Rohit Kumar, Peter Brusilovsky

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Graph Analysis of Student Model Networks.

Julio Guerra, Yun Huang, Roya Hosseini, Peter Brusilovsky

Proceedings of the Workshops Proceedings of EDM 2015 8th International Conference on Educational Data Mining, 2015

Your Model Is Predictive - but Is It Useful? Theoretical and Empirical Considerations of a New Paradigm for Adaptive Tutoring Evaluation.

José P. González-Brenes, Yun Huang

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Challenges of Using Observational Data to Determine the Importance of Example Usage.

Yun Huang, José P. González-Brenes, Peter Brusilovsky

Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

Exploring the Effects of Open Social Student Model Beyond Social Comparison.

Julio Guerra, Yun Huang, Roya Hosseini, Peter Brusilovsky

Proceedings of the Workshops at the 17th International Conference on Artificial Intelligence in Education, 2015

Using Data from Real and Simulated Learners to Evaluate Adaptive Tutoring Systems.

José P. González-Brenes, Yun Huang

Proceedings of the Workshops at the 17th International Conference on Artificial Intelligence in Education, 2015

2014

Integrating Knowledge Tracing and Item Response Theory: A Tale of Two Frameworks.

Mohammad Khajah, Yun Huang, José P. González-Brenes, Michael Mozer, Peter Brusilovsky

Proceedings of the Posters, 2014

Doing More with Less: Student Modeling and Performance Prediction with Reduced Content Models.

Yun Huang, Yanbo Xu, Peter Brusilovsky

Proceedings of the User Modeling, Adaptation, and Personalization, 2014

Predicting Student Performance in Solving Parameterized Exercises.

Shaghayegh Sahebi, Yun Huang, Peter Brusilovsky

Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014

General Features in Knowledge Tracing to Model Multiple Subskills, Temporal Item Response Theory, and Expert Knowledge.

Yun Huang, José P. González-Brenes, Peter Brusilovsky

Proceedings of the 7th International Conference on Educational Data Mining, 2014