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Towards artificial intelligence-based assessment systems

‘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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References

  1. 1.

    , , & Intelligence Unleashed: An Argument for AI in Education (Pearson, 2016);

  2. 2.

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

  3. 3.

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

  4. 4.

    & Preparing for a Renaissance in Assessment (Pearson, 2014).

  5. 5.

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

  6. 6.

    & Int. J. Artif. Intell. Educ. 26, 416–430 (2016).

  7. 7.

    & Int. J. Artif. Intell. Educ. 17, 89–120 (2007).

  8. 8.

    & U.S. proposes spending $4 billion to encourage driverless cars. The Wall Street Journal (14 January 2016);

  9. 9.

    Toyota will establish new artificial intelligence research and development company. Toyota (5 November 2015).

  10. 10.

    Memorandum Submitted by Association of School and College Leaders (ASCL) (UK Parliament, 2007);

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Author information

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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Competing interests

The author declares no competing interests.

Corresponding author

Correspondence to Rose Luckin.