How can we address implicit bias around social class in Higher Education (HE) institutions in Scotland?

我们如何解决苏格兰高等教育机构中围绕社会阶层的隐性偏见？

• 批准号: 2437369
• 金额: --
• 依托单位: University of Strathclyde
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2437369
• 关键词: How; address; implicit; bias; around

This PhD project will scope the nature of explicit and implicit bias in one home HE institution and its impact on lived experiences of students from working-class and poorer backgrounds. Academic Capital will be drawn upon and the 'Equity Mindedness' model and Strathclyde 3 Domain's Tool adopted to help participants recognise and organise the impact of different kinds of bias on their learning. Insights gained will be useful to policy makers, HE and secondary school staff and students from low socio-economic backgrounds.Equity is a problem for HE. To be meaningful and enabling, admissions targets need to be set alongside an understanding of the kinds of advice and support that working class and poorer students need in: subject selection; extra-curricular activities; university selection; course selection; workplace engagement. We also need clear ideas about how to support students on courses by making the formal and informal HE structures and procedures more inclusive.This engenders three sub-questions:1: Are there variations in how implicit bias is manifest across an HE institution?2: How does it impact the experiences of individuals from working-class and poorer backgrounds in Scotland?3: What can HE institutions do to recognise and address implicit bias to create more inclusive and equitable experiences for working-class and poorer individuals?1.Theoretical perspectives and systematic literature review: published work on equity within HE2.Explore one home HE institution's data on student applications; admissions; rejections; retention; use of central services; post-qualification destinations; participation in extracurricular activities. Explore variation across courses; faculties; departments3.Understand explicit and implicit bias through students' and other academic and support system players' experiences and perspectivesa.Interviews, Questionnaire, Case Studies: to illuminate current practicesb.Place-based interactive student maps and map-overlays, interviews, photo journals to explore student networks, support and experiencesThis topic is institutionally sensitive so the study will focus on the widening access data and student experiences of one supportive home institution, building on: strong existing relationships; trust; secure access to confidential data; support/training in the data system and institutional buy-in to understand the use, usefulness, limitations and potential of data systems, student and system actor experiences.PhD will adopt a Mixed Methods approach conducted in 3 phases:Phase1: Theoretical framing and literature review: published work and policy on equity in HE utilising the critical theory, qualitative approach of Critical Discourse Analysis.Phase2: Data exploration, admissions & processes of one HE institution exploring variability across and within courses/ departments/ faculties in applications, admissions, rejections, retention; central service use; participation in extracurricular activities. This will scope sources of bias and enable the purposeful selection of Phase3 participants.Phase3: Students' and university system actors' experiences and perspectives:-Illuminate current practices, values, networks, awareness and priorities using Key Informant Interviews (3-6: senior responsibility at faculty/ strategic level) which will inform an anonymous purposefully selected quantitative staff Questionnaire and qualitative Case Studies (2: individual faculties and 2: departments; recruitment, admissions, processes and experiences) to understand areas of difficulty or tension, utilising Qualtrics/NVivo/SPSS.-Understand student networks, supports and experiences with place-based interactive student maps/map-overlays, interviews, photo journals (20 student participants: 10 each from high and low tariff courses) to identify explicit and implicit bias, its impact on attainment and engagement and how it might be addressed.

这个博士项目将范围内的显式和隐式的偏见在一个家庭高等教育机构的性质，其对来自工人阶级和贫困背景的学生的生活经验的影响。学术资本将被利用，并通过“公平思维”模型和斯特拉斯克莱德3域的工具，以帮助参与者认识和组织不同类型的偏见对他们的学习的影响。所获得的见解将对政策制定者、高等教育和中学工作人员以及社会经济背景较低的学生有用。为了做到有意义和有能力，招生目标需要与对工薪阶层和贫困学生在以下方面所需的建议和支持的理解一起设定：学科选择;课外活动;大学选择;课程选择;工作场所参与。我们还需要明确的想法，如何支持学生的课程，使正式和非正式的高等教育结构和程序更具包容性。这产生了三个子问题：1：是否有差异，在如何隐性偏见是在整个高等教育机构的表现？2：它如何影响苏格兰工人阶级和贫困背景的个人的经历？第三章：高等教育机构可以做些什么来认识和解决隐性偏见，为工人阶级和穷人创造更具包容性和公平的体验？1.理论观点和系统的文献回顾：发表的工作在HE 2的公平性。探索一个家庭高等教育机构的数据，学生申请;录取;拒绝;保留;使用中央服务;资格后的目的地;参加课外活动。探索不同课程的差异;院系; 3.通过学生和其他学术和支持系统参与者的经验和观点理解显性和隐性偏见a.访谈，问卷调查，案例研究：以阐明当前的实践b.基于地点的交互式学生地图和地图叠加，访谈，照片杂志，以探索学生网络，支持和经验这个主题是制度上的敏感，所以研究将集中在一个支持家庭的扩大访问数据和学生的经验机构，建立在：强大的现有关系;信任;安全访问机密数据;支持/培训数据系统和机构买入，以了解数据系统的使用，有用性，局限性和潜力，学生和系统演员的经验。博士将采用混合方法的方法，分3个阶段进行：第1阶段：理论框架和文献综述：出版的作品和政策的公平在高等教育利用批判性理论，定性方法的批判性话语分析。第2阶段：数据探索，招生和一个高等教育机构的过程中探索的变化和内部课程/部门/院系在申请，录取，拒绝，保留;中央服务使用;参加课外活动。第三阶段：学生和大学系统参与者的经验和观点：-利用关键知情人访谈阐明当前的做法、价值观、网络、意识和优先事项（3-6：教师/战略层面的高级责任），将为匿名、有目的地选择的定量员工提供信息调查问卷和定性案例研究（2：个别院系和2：部门;招聘，招生，流程和经验）了解困难或紧张的领域，利用Qualtrics/NVivo/SPSS。了解学生网络，支持和经验与基于地点的互动式学生地图/地图覆盖，访谈，照片日记（20名学生参与者：10个来自高和低关税课程），以确定明确和隐含的偏见，其对成就和参与的影响，以及如何解决。