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Towards artificial intelligence-based assessment systems

Nature Human Behaviour volume 1, Article number: 0028 (2017) Cite this article

‘Stop and test’ assessments do not rigorously evaluate a student's understanding of a topic. Artificial intelligence-based assessment provides constant feedback to teachers, students and parents about how the student learns, the support they need and the progress they are making towards their learning goals.

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Figure 1: A simple Open Learner Model for tracking how a child is using the help facilities of a piece of science software.

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  1. Rose Luckin is Professor of Learner Centred Design, UCL Knowledge Lab, Institute of Education, University College London, 23–29 Emerald Street, London WC1N 3QS, UK.

    Rose Luckin

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  1. Rose Luckin
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Correspondence to Rose Luckin.

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Luckin, R. Towards artificial intelligence-based assessment systems. Nat Hum Behav 1, 0028 (2017). https://doi.org/10.1038/s41562-016-0028

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