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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.

References

  1. Luckin, R., Holmes, W., Griffiths, M. & Forcier, L. B. Intelligence Unleashed: An Argument for AI in Education (Pearson, 2016); http://go.nature.com/2jwF0zx

    Google Scholar 

  2. Bostrom, N. & Yudkowsky, E. in Cambridge Handbook of Artificial Intelligence (eds Frankish, K. & Ransey, W. M. ) 316–334 (Cambridge Univ. Press, 2011).

    Google Scholar 

  3. Self, J. Int. J. Artif. Intell. Educ. 10, 350–364 (1999).

    Google Scholar 

  4. Hill, P. & Barber, M. Preparing for a Renaissance in Assessment (Pearson, 2014).

    Google Scholar 

  5. Mavrikis, M. Int. J. Artif. Intell. Tools 19, 733–753 (2010).

    Article  Google Scholar 

  6. Luckin, R. & du Boulay, B. Int. J. Artif. Intell. Educ. 26, 416–430 (2016).

    Article  Google Scholar 

  7. Bull, S. & Kay, J. Int. J. Artif. Intell. Educ. 17, 89–120 (2007).

    Google Scholar 

  8. Spector, M. & Ramsey, M. U.S. proposes spending $4 billion to encourage driverless cars. The Wall Street Journal (14 January 2016); http://go.nature.com/2jZePEM

  9. Toyota will establish new artificial intelligence research and development company. Toyotahttp://bit.ly/2jRt1gW (5 November 2015).

  10. Memorandum Submitted by Association of School and College Leaders (ASCL) (UK Parliament, 2007); http://go.nature.com/2jpIBBN

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Authors and Affiliations

  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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