| The mathematical foundations of epistemic network analysis D Bowman, Z Swiecki, Z Cai, Y Wang, B Eagan, J Linderoth, DW Shaffer International conference on quantitative ethnography, 91-105, 2021 | 155 | 2021 |
| Dissecting learning tactics in MOOC using ordered network analysis Y Fan, Y Tan, M Raković, Y Wang, Z Cai, DW Shaffer, D Gašević Journal of Computer Assisted Learning 39 (1), 154-166, 2023 | 62 | 2023 |
| Analytics of self-regulated learning scaffolding: effects on learning processes T Li, Y Fan, Y Tan, Y Wang, S Singh, X Li, M Raković, J Van Der Graaf, ... Frontiers in psychology 14, 1206696, 2023 | 43 | 2023 |
| Student agency and game-based learning: A study comparing low and high agency H Nguyen, E Harpstead, Y Wang, BM McLaren International Conference on artificial intelligence in education, 338-351, 2018 | 40 | 2018 |
| Using Knowledge Component Modeling to Increase Domain Understanding in a Digital Learning Game. H Nguyen, Y Wang, J Stamper, BM McLaren International Educational Data Mining Society, 2019 | 32 | 2019 |
| Early detection of wheel-spinning in ASSISTments Y Wang, S Kai, RS Baker International conference on artificial intelligence in education, 574-585, 2020 | 21 | 2020 |
| Revealing networks: Understanding effective teacher practices in AI-supported classrooms using transmodal ordered network analysis C Borchers, Y Wang, S Karumbaiah, M Ashiq, DW Shaffer, V Aleven Proceedings of the 14th Learning Analytics and Knowledge Conference, 371-381, 2024 | 19 | 2024 |
| Simplification of epistemic networks using parsimonious removal with interpretive alignment Y Wang, Z Swiecki, AR Ruis, DW Shaffer International Conference on Quantitative Ethnography, 137-151, 2021 | 16 | 2021 |
| Directed epistemic network analysis A Fogel, Z Swiecki, C Marquart, Z Cai, Y Wang, J Brohinsky, ... International Conference on Quantitative Ethnography, 122-136, 2021 | 15 | 2021 |
| How does order of gameplay impact learning and enjoyment in a digital learning game? Y Wang, H Nguyen, E Harpstead, J Stamper, BM McLaren International Conference on Artificial Intelligence in Education, 518-531, 2019 | 15 | 2019 |
| Developing Nursing Students’ Practice Readiness with Shadow Health® Digital Clinical ExperiencesTM: A Transmodal Analysis Y Wang, M Shah, FA Jimenez, C Wilson, M Ashiq, B Eagan, ... International Conference on Quantitative Ethnography, 2023 | 14 | 2023 |
| Transmodal Analysis. DW Shaffer, Y Wang, A Ruis Journal of Learning Analytics 12 (1), 271-292, 2025 | 11 | 2025 |
| Thin data, thick description: Modeling socio-environmental problem-solving trajectories in localized land-use simulations AR Ruis, Y Tan, J Brohinsky, B Yang, Y Wang, Z Cai, ... International Conference on Quantitative Ethnography, 349-364, 2023 | 6 | 2023 |
| Iterative Feature Engineering through Text Replays of Model Errors. S Slater, RS Baker, Y Wang International Educational Data Mining Society, 2020 | 6 | 2020 |
| Examining the Interplay of Gaze and Verbal Interactions in Socially Shared Regulation of Learning: A Transmodal Analysis (TMA) Study A Nguyen, Y Wang, R Whitehead, M Ashiq, S Järvelä, DW Shaffer Society for Learning Analytics Research, 2025 | 5 | 2025 |
| Modeling Collaborative Discourse with ENA Using a Probabilistic Function Y Wang, AR Ruis, DW Shaffer International Conference on Quantitative Ethnography, 132-145, 2022 | 4 | 2022 |
| A multimodal representation framework for collaborative knowledge-building in an immersive astronomy simulation: using transmodal ordered network analysis: Y. Zhou et al. Y Zhou, J Kang, Y Wang, M Ashiq Educational technology research and development, 1-23, 2025 | 1 | 2025 |
| Illustrating the interplay of behavioral patterns and clinical competencies in a virtual patient simulation using epistemic network analysis MH Ashiq, M Shah, AJ Davis, Y Wang, B Eagan, FA Jimenez, CL Wilson, ... Proceedings of the 18th International Conference of the Learning Sciences …, 2024 | 1 | 2024 |
| Using Multi-Modal Network Models to Visualize and Understand How Players Learn a Mechanic in a Problem-Solving Game Z Carpenter, Y Wang, D DeLiema, P Kendeou, DW Shaffer The 13th International Learning Analytics and Knowledge Conference, 99-101, 2023 | 1 | 2023 |
| Qualitative Parameter Triangulation: A Formulated Approach to Parameterize Multimodal Models Y Wang, AR Ruis, DW Shaffer LAK2023 CROSSMMLA workshop, 2023 | 1 | 2023 |
David Williamson ShafferSears Bascom Professor of Learning Analytics, University of Wisconsin-MadisonVerified email at education.wisc.edu
