Zhang, F., Zhang, S., Wong, P.C., Medal, H., Bian, L., Swan, J.E., Jankun-Kelly, T.J., (2017). A Visual Evaluation Study of Graph Sampling Techniques. Proceedings IS&T International Symposium on Electronic Imaging (pp 110-117). San Francisco, CA: Society for Imaging Science and Technology.

Zhang, F., Zhang, S., Wong, P.C. (2017). Graph Sampling for Visual Analytics. Journal of Imaging Science & Technology, 61(4), 1-11.

Zapata-Rivera, D., Liu, L., Chen, L., Hao, J. and von Davier, A.A., (2017). Assessing Science Inquiry Skills in an Immersive, Conversation-Based Scenario. In Big Data and Learning Analytics in Higher Education (pp. 237-252). Springer International Publishing.

von Davier, A. A., Hao, J., Liu, L., & Kyllonen, P. (2017). Interdisciplinary research agenda in support of assessment of collaborative problem solving: lessons learned from developing a Collaborative Science Assessment Prototype. Computers in Human Behavior.

Savi, A. O., Williams, J. J., Maris, G., & van der Maas, H. (2017, February 27). The Role of A/B Tests in the Study of Large-Scale Online Learning. Retrieved from

Qian, H., Woo, A., & Kim, D., (2018). Exploring the psychometric properties of innovative items in computerized adaptive testing. In Technology Enhanced Innovative Assessment: Development, Modeling, and Scoring from an Interdisciplinary Perspective (pp. 97-118). Charlotte, NC: Information Age Publishing.

Marsman, M., Waldorp, L. & Maris, G. A note on large-scale logistic prediction: using an approximate graphical model to deal with collinearity and missing data. Behaviormetrika (2017).

Marsman, M., Maris, G., Bechger, T., & Glas, C. (2017). Turning simulation into estimation: generalized exchange algorithms for exponential family models. PloS one, 12(1), e0169787.

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