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1. Shifts in Positions, Epistemic Authority, and Epistemic Agency in a Secondary Mathematics Classroom

   Machaka, N.; Parr, E. D.; Dyer, E. B.; Krist, C. (January 2022, Proceedings of the 16th International Conference of the Learning Sciences—ICLS 2022)
2. Shifts in Positions, Epistemic Authority, and Epistemic Agency in a Secondary Mathematics Classroom

   Machaka, N.; Parr, E. D.; Dyer, E. B.; Krist, C. (January 2022, Proceedings of the 16th International Conference of the Learning Sciences—ICLS 2022)

   Chinn, C.; Tan, E.; Chan, C. K.; Kali, Y. (Ed.)
3. Trajectories in epistemic network analysis

   https://doi.org/https://doi.org/10.1007/978-3-030-67788-6_8  

   Brohinsky, Jais; Marquart, Cody; Wang, Junting; Ruis, Andrew R; Shaffer, David W. (January 2021, Advances in Quantitative Ethnography: Second International Conference, ICQE 2020, Malibu, CA, USA, February 1-3, 2021, Proceedings)

   Ruis, Andrew R.; Lee, Seung B. (Ed.)

   While quantitative ethnographers have used epistemic network analysis (ENA) to model trajectories that show change in network structure over time, visualizing trajectory models in a way that facilitates accurate interpretation has been a significant challenge. As a result, ENA has predominantly been used to construct aggregate models, which can obscure key differences in how network structures change over time. This study reports on the development and testing of a new approach to visualizing ENA trajectories. It documents the challenges associated with visualizing ENA trajectory models, the features constructed to address those challenges, and the design decisions that aid in the interpretation of trajectory models. To test this approach, we compare ENA trajectory models with aggregate models using a dataset with previously published results and known temporal features. This comparison focuses on interpretability and consistency with prior qualitative analysis, and we show that ENA trajectories are able to represent information unavailable in aggregate models and facilitate interpretations consistent with qualitative findings. This suggests that this approach to ENA trajectories is an effective tool for representing change in network structure over time. 

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4. Epistemic systems: A knowledge-level characterization of epistemic games.

   Swanson, H. (June 2023, Proceedings of the International Conference of the Learning Sciences)
5. Multiclass Rotations in Epistemic Network Analysis

   Knowles, M. (January 2022, Advances in Quantitative Ethnography: 4th International Conference, ICQE 2022)