Using Quantitative Ethnography and Customized Virtual Role Models to Measure and Improve the Computing Identity of Young Girls

使用定量民族志和定制虚拟角色模型来衡量和提高年轻女孩的计算身份

• 批准号: 2321274
• 负责人: Roghayeh Barmaki
• 金额: $ 35万
• 依托单位: University of Delaware
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2321274&HistoricalAwards=false
• 关键词: Using; Quantitative; Ethnography; Customized; Virtual

Emerging technology poses potential benefit to all Americans. Technologies support innovations in many fields, including agriculture, electronics, transportation, data science and computing. The workforce that forms the engine for this growth must first receive education and training to understand and master the advanced STEM methods that form the foundation of technological growth. That workforce includes educators with knowledge in STEM and in learning sciences to engage and prepare students, some from diverse cultures, who could be candidates to enter these fields. Too often STEM fields lack diverse mentors and role models. Many women and minorities do not see themselves following the pathways of technological discovery if they have not seen technologists who look like them crafting innovations. This project will address developing strategies to reach youth, especially underrepresented youth, with opportunities and diverse role models to motivate them to pursue STEM career paths in computing and technology. This project through the University of Delaware will work to increase the participation of middle-school girls who pursue computing career paths, particularly those from underrepresented or marginalized groups. The project is connected to ongoing studies on underrepresentation in computing and associated emerging technologies, and integrates frameworks, such as personal and group identity formation, embodied virtual agents, human-computer interaction, and motivation. A team of five mentors-advisors is included in this plan, they will guide the research project and mentor the Principal Investigator. The project includes professional development activity that will increase the STEM education research capabilities of the Principal Investigator, including improving skills and understanding in role model theory, qualitative methods, quantitative ethnography and epistemic network analysis, and grounded and embodied cognition and theories. An intervention will be developed to reverse damaging stereotypes and improve the motivation and identity of underrepresented students for computing and technology careers. The contextualized interactions with virtual role models, supported by mentoring, are intended to enhance student experiences, and improve motivation. Anticipated outcomes include increased participation in entering computing careers by those currently underrepresented, outreach for public showcases, and undergraduate and graduate student learning opportunities. Dissemination of project results through conferences in computer science and engineering education, learning sciences, and data science, and publication in scholarly journals, should benefit researchers and educators. Reports using de-identified data will be shared on the project website allowing appropriate use of the computing identity guidelines. This project is supported through a partnership with the Bill & Melinda Gates Foundation, Schmidt Futures, and the Walton Family Foundation. This project is also supported by NSF's EDU Core Research Building Capacity in STEM Education Research (ECR: BCSER) program, which is designed to build investigators' capacity to carry out high-quality STEM education research in the core areas of STEM learning and learning environments, broadening participation in STEM fields, and STEM workforce development.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

新兴技术对所有美国人带来了潜在的好处。技术支持许多领域的创新，包括农业，电子，运输，数据科学和计算。为此增长构成引擎的劳动力必须首先接受教育和培训，以了解和掌握构成技术增长基础的先进STEM方法。该劳动力包括具有STEM知识和学习科学知识的教育者，以吸引和准备一些来自不同文化的学生，他们可能是候选人进入这些领域的人。 STEM领域常常缺乏不同的导师和榜样。如果没有看到看起来像他们在制作创新的技术人员，许多妇女和少数民族就不会遵循技术发现的途径。该项目将探讨发展青年，特别是代表性不足的年轻人的策略，并具有各种各样的榜样，以激励他们追求计算和技术中的STEM职业道路。通过特拉华大学的该项目将努力提高追求计算职业道路的中学女孩的参与，尤其是来自代表性不足或边缘化群体的女孩。该项目与正在进行的计算和相关新兴技术中代表性不足的研究相关，并整合了框架，例如个人和群体身份形成，体现的虚拟药物，人类计算机的交互和动机。本计划中包括一个由五个导师顾问组成的团队，他们将指导研究项目并指导首席研究员。该项目包括专业发展活动，这些活动将提高主要研究者的STEM教育研究能力，包括提高榜样理论的技能和理解，定性方法，定量民族志和认识论网络分析，以及扎根和体现的认知和理论。将开发一项干预措施，以逆转损害刻板印象，并改善代表性不足的学生在计算和技术职业中的动力和身份。通过指导支持的虚拟榜样的情境化互动旨在增强学生的体验并改善动力。预期的结果包括增加参与目前代表性不足的人，公开展示的外展以及本科和研究生学习机会的参与。通过计算机科学和工程教育，学习科学和数据科学以及在学术期刊上发布的项目结果的传播，应受益于研究人员和教育者。使用De-Indies数据的报告将在项目网站上共享，允许适当使用计算身份指南。该项目通过与Bill＆Melinda Gates Foundation，Schmidt Futures和Walton Family Foundation的合作伙伴关系得到支持。该项目还得到了NSF的STEM教育研究（ECR：BCSER）计划中的EDU核心研究建设能力，该计划旨在建立研究人员在STEM学习和学习环境的核心领域进行高质量的STEM教育研究的能力，从而扩大了STEM领域的参与，并扩大了STEM领域的参与，并扩大了STEM劳动力的发展。审查标准。