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Prowise Learn: Research

Quality education thanks to in-depth research.

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Student scores in Prowise Learn

Education and research reinforce each other

When developing our products, we are constantly inspired by new insights from science. We also use the – anonymous – player data from our products for research. This way, we improve our knowledge of how children learn and of our adaptive measurement system. 

 

The scientists helping us improve Prowise Learn even further tell us about their vision and contribution below.  

Researchers from the University of Amsterdam, the Netherlands

Other collaborations

Researchers from Utrecht University, the Netherlands

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Publications

Publications about Prowise Learn. 

Brinkhuis, M. J., Savi, A. O., Hofman, A. D., Coomans, F., van der Maas, H. L., & 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.

 

Hofman, A., Kievit, R., Stevenson, C., Molenaar, D., Visser, I., & van der Maas, H. (2018)
The dynamics of the development of mathematics skills: A comparison of theories of developing intelligence.

 

Savi, A. O., van der Maas, H. L. J., & Maris, G. K. J. (2015)

Navigating massive open online courses.
Science, 347 (6225), 958.

Math assignments to be made in Prowise Learn Prowise Learn Calculus Garden

Dissertations

Dissertations on Prowise Learn. 

Savi A. O. (2019),
Towards an idiographic education

 

Hofman, A. D. (2018)
Psychometric analyses of computer adaptive practice data: A new window on cognitive development.

 

Straatemeier, M. (2014, April 25)
Math Garden: a new educational and scientific instrument
(Doctoral dissertation, University of Amsterdam).

 

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Research papers

Research papers about Prowise Learn. 

Hofman, A. D., Visser, I., Jansen, B. R., Marsman, M., & van der Maas, H. L. (2018)
Fast and slow strategies in multiplication.
Learning and Individual Differences, 68, 30-40.

 

Savi, A. O., Deonovic, B., Bolsinova, M., van der Maas, H., & Maris, G. (2018)
Automated Diagnosis of Misconceptions in Single Digit Multiplication. Tracing Systematic Errors to Personalize Recommendations in Single Digit Multiplication and Beyond.
PsyArXiv. July, 31.

 

Savi, A. O., Ruijs, N. M., Maris, G. K., & van der Maas, H. L. (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.