Here is a selection of recent papers I (co-)authored. A complete list can be found on my Google Scholar.
On the Importance of Numerical and Visual Alignment: Comparing Transition Probability Matrices Visually Using Ordered Semantic Co-registration Layout and Modified Dot Layout
LinkTan, Y., Yizhou Fan, & David Shaffer (2025).
International Conference on Quantitative Ethnography (ICQE).
Epistemic network analysis and ordered network analysis in learning analytics
LinkTan, Y., Zack Swiecki, Andrew R. Ruis, & David Shaffer (2024).
Learning Analytics Methods and Tutorials: A Practical Guide Using R.
Ordered Network Analysis
Link 🏅Best Student PaperTan, Y., Andrew R. Ruis, C. L. Marquart, Z. Cai, M. Knowles, & David Shaffer (2023).
International Conference on Quantitative Ethnography (ICQE).
Epistemic network analysis visualization
LinkTan, Y., C. Hinojosa, C. Marquart, A. Ruis, & David Shaffer (2021).
International Conference on Quantitative Ethnography (ICQE).
Temporal Network Analysis of Collaborative Prototyping from a Knowledge Creation Perspective
LinkA. Ohsaki, Tan, Y., B. Eagan, David Shaffer, & Zack Swiecki (2026).
Journal of Learning Analytics.
Ordered Networked Analysis of Multimodal Data in Healthcare Simulations: Dissecting Team Communication Tactics
LinkL. Zhao, V. Echeverria, Tan, Y., L. Yan, X. Li, R. Alfredo, ... & R. Martinez-Maldonado (2026).
International Journal of Artificial Intelligence in Education.
A Dual-Method Examination of Nursing Students' Teamwork in Simulation-Based Learning: Combining CORDTRA and Ordered Network Analysis to Reveal Patterns and Dynamics
LinkM. Shah, Tan, Y., B. Eagan, B. Chabalowski, & Y. Chen (2025).
International Learning Analytics and Knowledge Conference (LAK).
Applying ordered network analysis to video-recorded physician-nurse interactions to examine communication patterns associated with shared understanding in inpatient oncology care settings
LinkV. Popov, Tan, Y., & M. Manojlovich (2024).
BMJ Open.
Thin Data, Thick Description: Modeling Socio-Environmental Problem-Solving Trajectories in Localized Land-Use Simulations
Link 🏅Best Paper NominationAndrew R. Ruis, Tan, Y., J. Brohinsky, B. Yang, Y. Wang, Z. Cai, & David Shaffer (2023).
International Conference on Quantitative Ethnography (ICQE).
Dissecting learning tactics in MOOC using ordered network analysis
LinkYizhou Fan, Tan, Y., M. Rakovic, Y. Wang, Z. Cai, David Shaffer, & D. Gasevic (2022).
Journal of Computer Assisted Learning.
Unveiling joint attention dynamics: Examining multimodal engagement in an immersive collaborative astronomy simulation
LinkJ. Kang, Y. Zhou, R. J. Rajarathinam, Tan, Y., & David Shaffer (2024).
Computers & Education.
Exploring students' epistemic orientation, learning trajectories, and outcomes
P. Ko, C. Liu, N. Law, Tan, Y., & D. W. Shaffer (2025).
International Learning Analytics and Knowledge Conference (LAK).
iPlan: A Platform for Constructing Localized, Reduced-Form Models of Land-Use Impacts
LinkA. Ruis, C. Barford, J. Brohinsky, Tan, Y., M. Bougie, Z. Cai, T. Lark, & David Shaffer (2024).
SSRN.
Instructional designers' professional futures: Insights from best possible self and epistemic network analysis
J. H. Yu, L. Dong, C. J. Hsieh, Tan, Y., S. Duan, & S. L. Watson (2025).
Educational Technology Research and Development.
Analyzing Verbal Communication in Embodied Team Learning Using Multimodal Data and Ordered Network Analysis
Link 🏅Best Paper NominationL. Zhao, Tan, Y., D. Gasevic, David Shaffer, L. Yan, R. Alfredo, X. Li, & R. Martinez-Maldonado (2023).
Artificial Intelligence in Education (AIED).
Characterizing Individual-Level Collaborative Learning Behaviors Using Ordered Network Analysis and Wearable Sensors
LinkL. Yan, Tan, Y., Zack Swiecki, D. Gasevic, David Shaffer, L. Zhao, X. Li, & R. Martinez-Maldonado (2023).
International Conference on Quantitative Ethnography (ICQE).
Visualizing course structure: Using course composition diagrams to reflect on design
LinkRebecca M. Quintana & Tan, Y. (2021).
TechTrends.
Characterizing MOOC pedagogies: Exploring tools and methods for learning designers and researchers
LinkRebecca M. Quintana & Tan, Y. (2019).
Online Learning.
What We Learned When We Compared Discussion Posts from One MOOC Hosted on Two Platforms
LinkRebecca M. Quintana, J. D. Pinto, Tan, Y. (2021).
Online Learning Journal (OLJ).
What can we learn about learner interaction when one course is hosted on two MOOC platforms?
Tan, Y., & Rebecca M. Quintana (2019).
Companion Proceedings of the Learning Analytics and Knowledge Conference (LAK).
It's just that visceral: Eliciting design insight using beaded representations of online course structure
LinkRebecca M. Quintana, Tan, Y., K. Gabriele, & N. Korf (2018).
CHI Extended Abstracts.
Mentor academy: Engaging learners in the creation of data science problems for MOOCs
LinkRebecca M. Quintana, C. Brooks, C. Smothers, Tan, Y., Z. Yao, & C. Kulkarni (2018).
International Conference of the Learning Sciences (ISLS).