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

残疾学生尤其有可能在关键阶段4的核心教育科目中得不到优异的成绩。(国家统计局，2022年)这在一定程度上可以用一些残疾--例如学习障碍--来解释，这些残疾直接影响学生的学习和参与课程的能力。然而，边缘化和其他社会因素对特定学科成绩的影响是有据可查的。(Strand，2014；《国家统计局》，2022)残疾不仅是一种医学现象；它也是通过构建使个人丧失能力并阻止他们采取行动的“残疾环境”而产生的。造成环境瘫痪的因素可以是物质上的和社会上的；通常，物质障碍会导致社会排斥。，这项研究的目的是揭示特定学科吸收和获得之间的关系，以及使用机器学习影响吸收和获得的一些已知变量之间的关系。机器学习是一种适合这项研究的方法，因为它允许同时为给定交叉点的每个学术主题创建成就预测。这也是学习现有数据中的偏见的一个很好的方法。(Mehrabi，Morstatter，Saxena，Lerman，&Galstian，2021)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，为大规模变化创造了一个量化论点，并可以用来洞察特定人群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.