A Systematic Review of the Potential of Machine Learning and Data Science in Primary and Secondary Education

Donaldson, P. , Ntarmos, N. and Portelli, K. (2017) A Systematic Review of the Potential of Machine Learning and Data Science in Primary and Secondary Education. Discussion Paper. Royal Society. (Unpublished)

Donaldson, P. , Ntarmos, N. and Portelli, K. (2017) A Systematic Review of the Potential of Machine Learning and Data Science in Primary and Secondary Education. Discussion Paper. Royal Society. (Unpublished)

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Publisher's URL: https://royalsociety.org/topics-policy/projects/royal-society-british-academy-educational-research/

Abstract

This review, commissioned by the Royal Society, will examine the current state of the art developments in data science and machine learning within education, if they can be applied more broadly now, or in the future, and the impact they could have on transforming primary and secondary education in the UK. A sample of the total volume of research reviewed is directly referenced in the body of the report to help illustrate key issues. The full list of sources reviewed is included as the last section of the technical appendix. This appendix also provides further details on the systematic review process, important researchers in each sub-field, a list of current and recent research projects and existing tools, applications and products.

Item Type:Research Reports or Papers (Discussion Paper)
Additional Information:Available under Evidence documents link.
Status:Unpublished
Glasgow Author(s) Enlighten ID:Ntarmos, Dr Nikolaos and Donaldson, Mr Peter and Portelli, Mr Kurt
Authors: Donaldson, P., Ntarmos, N., and Portelli, K.
Subjects:L Education > LB Theory and practice of education
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Science and Engineering > School of Computing Science
College of Social Sciences > School of Education
Publisher:Royal Society

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