A Systematic Review of the Potential of Machine Learning and Data Science in Primary and Secondary Education
A Systematic Review of the Potential of Machine Learning and Data Science in Primary and Secondary Education
复制标题
机器学习和数据科学在中小学教育中潜力的系统回顾
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Kurt Portelli
中科院分区：
文献类型：
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作者：
Peter Donaldson;Nikolaos Ntarmos;Kurt Portelli
这项由皇家学会委托进行的审查将研究数据科学和机器学习在教育领域的最新发展状况，如果它们现在或将来可以更广泛地应用，以及它们可能对英国中小学教育产生的影响。报告正文直接引用了所审查研究总量的样本，以帮助说明关键问题。所审查的来源的完整清单载于技术附录的最后一节。本附录还提供了系统评价过程的进一步详细信息，每个子领域的重要研究人员，当前和最近的研究项目以及现有工具，应用和产品的列表。
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.