An investigation into variation in autistic students' attainment across England and Wales by Local Education Authority (LEA).

当地教育局 (LEA) 对英格兰和威尔士自闭症学生的学习成绩差异进行了调查。

• 批准号: 2097058
• 金额: --
• 依托单位: UNIVERSITY OF EXETER
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2097058
• 关键词: investigation; into; variation; autistic; students

I plan to investigate variation in autistic students' attainment across England and Wales by Local Education Authority (LEA). This research will facilitate an understanding of which LEAs are implementing the best practice for autistic students to access education and fulfil their potential to the same level as their allistic (non-autistic) peers. I will be able to provide a summary of my findings to LEAs - this research has the potential to impact future policy implementation.While out this research at The University of Exeter, I plan to work alongside other academics who are conducting research in a similar area, I am also hoping to forge links with local Autism charities over the coming year, so that I can engage with them during my research.LEAs provide services for schools, assist in implementing government initiatives and legislation in schools, allocate finance to schools and are responsible for identifying and meeting the needs of pupils with Special Educational Needs and Disabilities (SEND). By researching how different LEAs across the country deal with autism and what adjustments and funding are allocated for SEND students, against educational outcomes for autistic students from these LEAs, I will be able to identify which are providing best practice. It will be possible for this research to track students' progress across the transition through the school system and it will also be of interest to see if pupils' attainment changes between school types against what support and provision is provided for SEND pupils at each level of education.I plan to conduct quantitative secondary data analysis, using the National Pupil Database (NPD). I will need to seek permission to access this data, however, as this research project seeks to promote the educational well-being of autistic pupils it should be the case that I will be granted access. By using the NPD I eliminate the need for sampling as I will be able to work with data from the whole population, this means my results will be representative of the population and there will be no limitations from sample bias. The NPD will also allow me to look at outcomes over time, in this way I may be able to identify particular changes in policy which have impacted students outcomes.England has 174 LEAs. I will need to collect data about LEAs policies and spending for SEND pupils, information available on LEAs/local government websites, or via freedom of information requests. Some types of school, such as free schools and private schools do not fall under LEAs and so I will have to use their websites or contact them individually to collect policy and funding information.Using the NPD means I do not need to have contact with any pupils to conduct this research, nor will I need to access any NHS records for individuals to see if they have an autism diagnosis, this information will be contained within the anonymised dataset.

我计划通过地方教育局（莱亚）调查英格兰和威尔士自闭症学生成绩的变化。这项研究将有助于了解哪些执法机构正在实施自闭症学生接受教育的最佳实践，并将其潜力发挥到与他们的自闭症（非自闭症）同龄人相同的水平。我将能够向执法机构提供我的研究结果摘要-这项研究有可能影响未来的政策实施。虽然在埃克塞特大学进行这项研究，我计划与其他在类似领域进行研究的学者一起工作，我也希望在未来一年与当地自闭症慈善机构建立联系，这样我就可以在我的研究中与他们接触。执法机关为学校提供服务，协助学校实施政府的措施和立法，向学校分配资金，并负责确定和满足有特殊教育需要和残疾的学生的需要。通过研究全国各地不同的LEAs如何处理自闭症以及为SEND学生分配了哪些调整和资金，针对这些LEAs自闭症学生的教育成果，我将能够确定哪些提供了最佳实践。这项研究可以跟踪学生在学校系统过渡期间的进展情况，还可以了解学生在不同学校类型之间的成绩是否发生变化，以及在各级教育中为特殊教育学生提供了哪些支持和规定。我需要获得访问这些数据的许可，但是，由于该研究项目旨在促进自闭症学生的教育福祉，因此我应该被授予访问权限。通过使用NPD，我消除了采样的需要，因为我将能够使用来自整个人群的数据，这意味着我的结果将代表人群，并且不会受到样本偏倚的限制。NPD也将允许我看看结果随着时间的推移，通过这种方式，我可能能够确定影响学生成绩的政策的特定变化。我将需要收集有关LEAs的政策和支出的SEND学生的数据，LEAs/地方政府网站上提供的信息，或通过信息请求的自由。有些类型的学校，如免费学校和私立学校不属于LEA，所以我将不得不使用他们的网站或单独联系他们收集政策和资金信息。使用NPD意味着我不需要与任何学生接触进行这项研究，也不需要访问任何NHS记录的个人，看看他们是否有自闭症诊断，该信息将包含在匿名数据集中。