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2020
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Hoernle, N., Gal, K., Grosz, B., Lyons, L., Ren, A. and Rubin, A., 2019. Interpretable Models for Understanding Immersive Simulations. arXiv preprint arXiv:1909.11025.
2019
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Yanovsky, S., Hoernle, N., Lev, O. and Gal, K., 2019, June. One Size Does Not Fit All: Badge Behavior in Q&A Sites. In Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization (pp. 113-120). ACM.(Best Student Paper Award at UMAP)
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Roi Shilo, Nicholas Hoernle, Kobi Gal. Detecting Creativity in an Open Ended Geometry Environment. Educational Data Mining (EDM), Montreal, Canada, July 2019.
2018
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Hoernle, N., Gal, Y., Grosz, B., Protopapas, P. and Rubin, A. (2018). Modeling the Effects of Students' Interactions with Immersive Simulations using Markov Switching Systems. In: Educational Data Mining 2018. Buffalo, NY.
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Hoernle, N. (2018). Modeling the Effects of Students' Interactions with Immersive Simulations (Unpublished master's thesis). Harvard University, Cambridge, MA.