Yeyu Wang

According to our database, Yeyu Wang authored at least 19 papers between 2018 and 2026.

Collaborative distances:

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

2026

Expanding Design Heuristics for Supporting Impasse-Driven Learning in a Puzzle Video Game Using a Problem-Solving Framework and Multimodal Network Models.

Zack Carpenter, Yeyu Wang, David DeLiema, Panayiota Kendeou, Matthew L. Bernacki, David Williamson Shaffer

Proceedings of the LAK26: 16th International Learning Analytics and Knowledge Conference, 2026

2025

Transmodal Analysis.

David Williamson Shaffer, Yeyu Wang, Andrew R. Ruis

J. Learn. Anal., 2025

Examining the Interplay of Gaze and Verbal Interactions in Socially Shared Regulation of Learning: A Transmodal Analysis (TMA) Study.

Andy Nguyen, Yeyu Wang, Ridwan Whitehead, Muhammad Ashiq, Sanna Järvelä, David Williamson Shaffer

J. Learn. Anal., 2025

Qualitative Parameter Triangulation: A Conceptual and Methodological Framework for Event-Based Temporal Models.

Yeyu Wang, Zack Carpenter, Zachari Swiecki, David Williamson Shaffer

Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025

Linking Facial Recognition of Emotions and Socially Shared Regulation in Medical Simulation.

Xiaoshan Huang, Tianlong Zhong, Haolun Wu, Yeyu Wang, Ethan Churchill, Xue Liu, David Williamson Shaffer

Proceedings of the Companion Publication of the 2025 Conference on Computer-Supported Cooperative Work and Social Computing, 2025

2024

Revealing Networks: Understanding Effective Teacher Practices in AI-Supported Classrooms using Transmodal Ordered Network Analysis.

Conrad Borchers, Yeyu Wang, Shamya Karumbaiah, Muhammad Ashiq, David Williamson Shaffer, Vincent Aleven

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

2023

Dissecting learning tactics in MOOC using ordered network analysis.

Yizhou Fan, Yuanru Tan, Mladen Rakovic, Yeyu Wang, Zhiqiang Cai, David Williamson Shaffer, Dragan Gasevic

J. Comput. Assist. Learn., February, 2023

Qualitative Parameter Triangulation: A Formulated Approach to Parameterize Multimodal Models.

Yeyu Wang, Andrew R. Ruis, David Williamson Shaffer

Proceedings of the 6th Workshop on Leveraging Multimodal Data for Generating Meaningful Feedback (CROSSMMLA 2023) at the 13th International Learning Analytics & Knowledge (LAK 2023), 2023

Developing Nursing Students' Practice Readiness with Shadow Health® Digital Clinical Experiences^rmTM: A Transmodal Analysis.

Yeyu Wang, Mamta Shah, Francisco A. Jimenez, Cheryl Wilson, Muhammad Ashiq, Brendan R. Eagan, David Williamson Shaffer

Proceedings of the Advances in Quantitative Ethnography - 5th International Conference, 2023

Thin Data, Thick Description: Modeling Socio-Environmental Problem-Solving Trajectories in Localized Land-Use Simulations.

Andrew R. Ruis, Yuanru Tan, Jais Brohinsky, Binrui Yang, Yeyu Wang, Zhiqiang Cai, David Williamson Shaffer

Proceedings of the Advances in Quantitative Ethnography - 5th International Conference, 2023

2022

Modeling Collaborative Discourse with ENA Using a Probabilistic Function.

Yeyu Wang, Andrew R. Ruis, David Williamson Shaffer

Proceedings of the Advances in Quantitative Ethnography - 4th International Conference, 2022

2020

Simplification of Epistemic Networks Using Parsimonious Removal with Interpretive Alignment.

Yeyu Wang, Zachari Swiecki, Andrew R. Ruis, David Williamson Shaffer

Proceedings of the Advances in Quantitative Ethnography - Second International Conference, 2020

Directed Epistemic Network Analysis.

Ariel Fogel, Zachari Swiecki, Cody Marquart, Zhiqiang Cai, Yeyu Wang, Jais Brohinsky, Amanda Siebert-Evenstone, Brendan R. Eagan, Andrew R. Ruis, David Williamson Shaffer

Proceedings of the Advances in Quantitative Ethnography - Second International Conference, 2020

The Mathematical Foundations of Epistemic Network Analysis.

Dale Bowman, Zachari Swiecki, Zhiqiang Cai, Yeyu Wang, Brendan R. Eagan, Jeff T. Linderoth, David Williamson Shaffer

Proceedings of the Advances in Quantitative Ethnography - Second International Conference, 2020

Iterative Feature Engineering Through Text Replays of Model Error.

Stefan Slater, Ryan Baker, Yeyu Wang

Proceedings of the 13th International Conference on Educational Data Mining, 2020

Early Detection of Wheel-Spinning in ASSISTments.

Yeyu Wang, Shimin Kai, Ryan Shaun Baker

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

2019

Using Knowledge Component Modeling to Increase Domain Understanding in a Digital Learning Game.

Huy Anh Nguyen, Yeyu Wang, John C. Stamper, Bruce M. McLaren

Proceedings of the 12th International Conference on Educational Data Mining, 2019

How Does Order of Gameplay Impact Learning and Enjoyment in a Digital Learning Game?

Yeyu Wang, Huy Anh Nguyen, Erik Harpstead, John C. Stamper, Bruce M. McLaren

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018

Student Agency and Game-Based Learning: A Study Comparing Low and High Agency.

Huy Anh Nguyen, Erik Harpstead, Yeyu Wang, Bruce M. McLaren

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018