Publications

Keywords: developmental intelligence, A/B tests in online learning, computerized adaptive practice, networks, predictive modeling.

Open science indicators: Ο gold/green open access, Δ open code/data, Ρ open peer review, Π registered report, Ν null results, Χ holdout principle.

Savi, A. O., van Klaveren, C., & Cornelisz, I. (2021). Combating effort avoidance in computer adaptive practicing: Does a problem skipping restriction promote learning? PsyArXiv.
preprint / Ο Ν

Savi, A. O., ten Broeke, N., & Hofman, A. D. (2021). Adaptive learning systems and interference in causal inference. Educational A/B Testing at Scale: The Second Virtual Workshop at Learning @ Scale 2021.
workshop paper, postprint / Ο

Savi, A. O. (2021). Setworks: Networks of complex set intersections. PsyArXiv.
preprint, shiny app, github / Ο Δ

Savi, A. O., Marsman, M., & van der Maas, H. L. J. (2021). Evolving networks of human intelligence. Intelligence.
full text, postprint / Ο

Savi, A. O., Cornelisz, I., Sjerps, M. J., Greup, S. L., Bres, C. M., & van Klaveren, C. (2021). Balancing trade-offs in the detection of primary schools at risk. Educational Measurement: Issues and Practice, 40(3), 110–124.
full text, postprint / Ο

Savi, A. O., Deonovic, B. E., Bolsinova, M., van der Maas, H. L. J., & Maris, G. K. J. (2020). Tracing systematic errors to personalize recommendations in single digit multiplication and beyond. PsyArXiv.
preprint / Ο

Savi, A. O., van der Maas, H. L. J., Maris, G. K. J., & Marsman, M. (2020). Mitochondrial functioning ≠ general intelligence. Journal of Intelligence, 8, 20.
full text / Ο Ρ

Savi, A. O., Marsman, M., van der Maas, H. L. J., & Maris, G. K. J. (2019). The wiring of intelligence. Perspectives on Psychological Science, 14(6), 1034–1061.
full text, postprint, code, podcast / Ο Δ

van der Maas, H. L. J., Savi, A. O., Hofman, A., Kan, K.-J., & Marsman, M. (2019). The network approach to general intelligence. In D. J. McFarland (Ed.), General and specific mental abilities (pp. 108–131). Cambridge Scholars Publishing.
chapter, postprint / Ο

Savi, A. O. (2019). Towards an idiographic education [Doctoral dissertation, University of Amsterdam]. Thesis Commons.
full text / Ο

Brinkhuis, M. J. S., Savi, A. O., Coomans, F., Hofman, A. D., 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), 29–46.
full text, postprint / Ο

Savi, A. O., Ruijs, N. M., Maris, G. K. J., & van der Maas, H. L. J. (2018). 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.
full text, postprint, code&data, poster / Ο Δ Χ

Savi, A. O. (2017). A tool to support MOOC teachers with questionnaires, adaptive lessons, and experimental comparisons. OSF Preprints.
preprint, code / Ο Δ

Savi, A. O., Williams, J. J., Maris, G. K. J., & van der Maas, H. L. J. (2017). The role of A/B tests in the study of large-scale online learning. OSF Preprints.
preprint / Ο

Jansen, B. R. J., Hofman, A. D., Savi, A. O., Visser, I., & van der Maas, H. L. J. (2016). Self-adapting the success rate when practicing math. Learning and Individual Differences, 51, 1–10.
full text, postprint / Ο Ν

Schmittmann, V. D., Jahfari, S., Borsboom, D., Savi, A. O., & Waldorp, L. J. (2015). Making large-scale networks from fMRI data. PLoS ONE, 10(9), 1–32.
full text, data / Ο Δ

Savi, A. O., van der Maas, H. L. J., & Maris, G. K. J. (2015). Navigating massive open online courses. Science, 347(6225), 958.
full text, reprint, postprint / Ο

Savi, A. O. (2013). Testing children’s Theory of Mind: Suitability of the strategic n-coin game [Master’s thesis, University of Amsterdam]. UvA Scripties.
full text / Ο

Savi, A. O. (2013). Accurately explaining exploratory decisions in a non-stationary bandit problem: A recovery study of the Kalman filter model [Internship report, University of Amsterdam]. Figshare.
full text (CC-BY), data included / Ο Δ

Savi, A. O. (2010). Automated inductive causation: Recovering causal structures from observational data [Bachelor’s thesis, University of Amsterdam]. Figshare.
full text (CC-BY), code&data (GPL≥v3) / Ο Δ

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