Yeyu Wang

21 papers A 3B 2Journal 5Unranked 11
YearRankTypeTitle / Venue / Authors
2026 A conf
Expanding Design Heuristics for Supporting Impasse-Driven Learning in a Puzzle Video Game Using a Problem-Solving Framework and Multimodal Network Models.
LAK
Zack Carpenter, Yeyu Wang, David DeLiema, Panayiota Kendeou, Matthew L. Bernacki, David Williamson Shaffer
2025 J jnl
Examining the Interplay of Gaze and Verbal Interactions in Socially Shared Regulation of Learning: A Transmodal Analysis (TMA) Study.
J. Learn. Anal.
Andy Nguyen, Yeyu Wang, Ridwan Whitehead, Muhammad Ashiq, Sanna Järvelä, David Williamson Shaffer
2025 — conf
Linking Facial Recognition of Emotions and Socially Shared Regulation in Medical Simulation.
CSCW Companion
Xiaoshan Huang, Tianlong Zhong, Haolun Wu, Yeyu Wang, Ethan Churchill, Xue Liu, David Williamson Shaffer
2025 J jnl
Linking Facial Recognition of Emotions and Socially Shared Regulation in Medical Simulation.
CoRR
Xiaoshan Huang, Tianlong Zhong, Haolun Wu, Yeyu Wang, Ethan Churchill, Xue Liu, David Williamson Shaffer
2025 A conf
Qualitative Parameter Triangulation: A Conceptual and Methodological Framework for Event-Based Temporal Models.
LAK
Yeyu Wang, Zack Carpenter, Zachari Swiecki, David Williamson Shaffer
2025 J jnl
Transmodal Analysis.
J. Learn. Anal.
David Williamson Shaffer, Yeyu Wang, Andrew R. Ruis
2024 A conf
Revealing Networks: Understanding Effective Teacher Practices in AI-Supported Classrooms using Transmodal Ordered Network Analysis.
LAK
Conrad Borchers, Yeyu Wang, Shamya Karumbaiah, Muhammad Ashiq, David Williamson Shaffer, Vincent Aleven
2023 — conf
Developing Nursing Students' Practice Readiness with Shadow Health® Digital Clinical Experiences
ICQE
Yeyu Wang, Mamta Shah, Francisco A. Jimenez, Cheryl Wilson, Muhammad Ashiq, Brendan R. Eagan, David Williamson Shaffer
2023 J jnl
Dissecting learning tactics in MOOC using ordered network analysis.
J. Comput. Assist. Learn.
Yizhou Fan, Yuanru Tan, Mladen Rakovic, Yeyu Wang, Zhiqiang Cai, David Williamson Shaffer, Dragan Gasevic
2023 — conf
Qualitative Parameter Triangulation: A Formulated Approach to Parameterize Multimodal Models.
CrossMMLA@LAK
Yeyu Wang, Andrew R. Ruis, David Williamson Shaffer
2023 J jnl
Revealing Networks: Understanding Effective Teacher Practices in AI-Supported Classrooms using Transmodal Ordered Network Analysis.
CoRR
Conrad Borchers, Yeyu Wang, Shamya Karumbaiah, Muhammad Ashiq, David Williamson Shaffer, Vincent Aleven
2023 — conf
Thin Data, Thick Description: Modeling Socio-Environmental Problem-Solving Trajectories in Localized Land-Use Simulations.
ICQE
Andrew R. Ruis, Yuanru Tan, Jais Brohinsky, Binrui Yang, Yeyu Wang, Zhiqiang Cai, David Williamson Shaffer
2022 — conf
Modeling Collaborative Discourse with ENA Using a Probabilistic Function.
ICQE
Yeyu Wang, Andrew R. Ruis, David Williamson Shaffer
2020 — conf
Directed Epistemic Network Analysis.
ICQE
Ariel Fogel, Zachari Swiecki, Cody Marquart, Zhiqiang Cai, Yeyu Wang, Jais Brohinsky, Amanda Siebert-Evenstone, Brendan R. Eagan, Andrew R. Ruis, David Williamson Shaffer
2020 — conf
Early Detection of Wheel-Spinning in ASSISTments.
AIED (1)
Yeyu Wang, Shimin Kai, Ryan Shaun Baker
2020 B conf
Iterative Feature Engineering Through Text Replays of Model Error.
EDM
Stefan Slater, Ryan Baker, Yeyu Wang
2020 — conf
Simplification of Epistemic Networks Using Parsimonious Removal with Interpretive Alignment.
ICQE
Yeyu Wang, Zachari Swiecki, Andrew R. Ruis, David Williamson Shaffer
2020 — conf
The Mathematical Foundations of Epistemic Network Analysis.
ICQE
Dale Bowman, Zachari Swiecki, Zhiqiang Cai, Yeyu Wang, Brendan R. Eagan, Jeff T. Linderoth, David Williamson Shaffer
2019 — conf
How Does Order of Gameplay Impact Learning and Enjoyment in a Digital Learning Game?
AIED (1)
Yeyu Wang, Huy Anh Nguyen, Erik Harpstead, John C. Stamper, Bruce M. McLaren
2019 B conf
Using Knowledge Component Modeling to Increase Domain Understanding in a Digital Learning Game.
EDM
Huy Anh Nguyen, Yeyu Wang, John C. Stamper, Bruce M. McLaren
2018 — conf
Student Agency and Game-Based Learning: A Study Comparing Low and High Agency.
AIED (1)
Huy Anh Nguyen, Erik Harpstead, Yeyu Wang, Bruce M. McLaren