Peer Reviewed Papers and Book Chapters

Chopade, P., Khan, S., Edwards, D., & von Davier, A. A. (2018). Machine learning for efficient assessment and prediction of human performance in collaborative learning environments.

Deonovic, B., Yudelson, M., Bolsinova, M., Attali, M., Maris, G. (2018). Learning meets assessment: On the relation between item response theory and Bayesian knowledge tracing. Behaviormetrika, 45(2), 457-474.

Huang, Y. & Khan, S. (2018). Generating Photorealistic Facial Expressions in Dyadic Interactions. The British Machine Vision Conference. doi: http://bmvc2018.org/contents/papers/0590.pdf

Huang, Y. & Khan, S. (2018). A Generative Approach for Dynamically Varying Photorealistic Facial Expressions in Human-Agent Interactions. ACM Digital Library. doi: 10.1145/3242969.3243031

Savi, A. O., Ruijs, N., Maris, G., & van der Maas, H. (2017). Delaying Access to a Problem-Skipping Option Increases Effortful Practice: Application of an A/B Test in Large-Scale Online Learning. Computers & Education. 119, 84-94. Retrieved from https://doi.org/10.1016/j.compedu.2017.12.008

Epskamp, S., Maris, G. K., Waldorp, L. J., & Borsboom, D. (2018). Network psychometrics. In: P. Irwing, T. Booth & D. J. Hughes (Eds.). The Wiley Handbook of Psychometric Testing: A Multidisciplinary Reference on Survey, Scale and Test Development. London: John Wiley & Sons. (pp. 953-986). Retrieved from https://doi.org/10.1002/9781118489772.ch30

Waldorp, L., Marsman, M. & Maris, G. (2018). Logistic regression and Ising networks: prediction and estimation when violating lasso assumptions. Behaviormetrika. doi:10.1007/s41237-018-0061-0

Brinkhuis, M.J.S., Savi, A.O., Hofman, A.D., Coomans, F., van der Maas, H.L.J., & Maris, G. (2018). Learning As It Happens: A Decade of Analyzing and Shaping a Large-Scale Online Learning System. Journal of Learning Analytics, 5:2.  doi: 10.18608/jla.2018.52.3

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