Using machine learning to aid in recommending population-level interventions in schools

残疾学生特别有可能在关键阶段4的核心教育科目中无法取得优异成绩。（国家统计数据，2022年）这在一定程度上可以解释为一些残疾-如学习障碍-直接影响学生的学习能力和参与课程。然而，边缘化和其他社会因素对特定科目成绩的影响是有据可查的。（Strand，2014年;残疾不仅是一种医学现象;它也是通过构建“残疾环境”而产生的，这种环境剥夺了个人的权力，阻止他们以代理人的身份行事。使环境丧失能力的因素可以是物质的和社会的;物质障碍往往导致社会排斥。这项研究的目的是揭示特定学科的吸收和实现之间的关系，以及一些已知的影响吸收和实现使用机器学习的变量。机器学习是这项研究的一种合适的方法，因为它允许同时为给定交叉点“配置文件”的每个学科创建成就预测。这也是一个很好的方法来学习现有数据中的偏见。（Mehrabi，Morstatter，Saxena，Lerman和Galstyan，2021）然后，不同概况的结果可以作为系统性偏见影响学生的领域的指标，为大规模变化创造定量论据，并可用于深入了解特定亚群的教育程度随时间的变化。

Disabled students are at particular risk of not attaining strong results in core educational subjects in Key Stage 4. (National Statistics, 2022) This is explainable in part by some disabilities-such as learning disabilities-directly impacting students' ability to learn and engage with the curriculum. However, the impact of marginalisation and other social factors on attainment of particular subjects is well-documented. (Strand, 2014; National Statistics, 2022) Disability is not only a medical phenomenon; it is also created through the construction of 'disabling environments' which disempower individuals and prevent them from acting with agency. The factors that make an environment disabling can be physical and social; often, physical barriers lead to social exclusion. , this research would aim to uncover relationships between subject-specific uptake and attainment and a number of variables known to impact uptake and attainment using machine learning. Machine learning is an appropriate approach for this research because it allows attainment projections to simultaneously be created for every academic subject for a given intersection 'profile'. It is also an excellent way to learn bias in existing data. (Mehrabi, Morstatter, Saxena, Lerman, & Galstyan, 2021) The results for different profiles may then be taken as an indicator of areas where systematic bias affects students, creating a quantitative argument for large-scale change and a metric that can be used to gain insight into changes in the educational attainment of specific subpopulations over time.