Peer Reviewed Papers and Book Chapters

Ou, L., Andrade, A., Alberto, R.A., van Helden, G., Bakker, A. (2020). Using a Cluster-Based Regime-Switching Dynamic Model to Understand Embodied Mathematical Learning. In Proceedings of the 10th International Conference on Learning Analytics and Knowledge (LAK’20), March 23–27, 2020, Frankfurt, Germany. ACM, New York, NY, USA

Savi, A. O., van der Maas, H. L. J., Maris, G. K. J., & Marsman, M. (2020). Mitochondrial Functioning ≠ General Intelligence. Journal of Intelligence, 8(2), 20. 

Ou, L., Andrade, A., Alberto, R. R. A., Bakker, A., & Bechger, T. (2020). Identifying qualitative between-subject and within-subject variability: A method for clustering regime-switching dynamics. Frontiers in Psychology, 11.

Rosen, Y.; Stoeffler, K.; Simmering, V. (2020) Imagine: Design for Creative Thinking, Learning, and Assessment in Schools. Journal of Intelligence. 2020, 8, 16.

Hofman, A.D.; Brinkhuis, M.J.S.; Bolsinova, M.; Klaiber, J.; Maris, G.; van der Maas, H.L.J. Tracking with (Un)Certainty. J. Intell. 2020, 8, 10.

Simmering, Vanessa, Ou, Lu, Bolsinova, Maria (2019). What technology can and cannot do to support assessment of non-cognitive skills. Frontiers in Psychology

Ou, Lu, Hunter, Michael, Chow, Sy-Miin. What's for dynr: A package for linear and nonlinear dynamic modeling in R. The R Journal. Vol. 11:1

Bolsinova, M. & Tijmstra, J. Modeling differences in response times between correct and incorrect responses. Psychometrika. pp 1-29. Springer US. https://doi.org/10.1007/s11336-019-09682-5

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