Enhancing Career and Academic Pathways through High-Quality Evidence-Based Educational Practices

通过高质量的循证教育实践加强职业和学术道路

• 批准号: 2221680
• 负责人: Salamah Salamah
• 金额: $ 497.84万
• 依托单位: University of Texas at El Paso
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-01 至 2028-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2221680&HistoricalAwards=false
• 关键词: Enhancing; Career; Academic; Pathways; through

This project will contribute to the national need for well-educated scientists, mathematicians, engineers, and technicians by leveraging an established consortium of four institutions of higher education across California and Texas. Over its 6-year duration, the project will provide 85 scholarships to high-achieving, low-income students with demonstrated financial need, of which 24 will earn an associate degree in Computer Science (CS) at a feeder college, then transfer to a partnering consortium 4-year institution to earn a bachelor’s degree in CS. Scholars will be funded for up to four years, with the possibility for an additional year to complete a graduate degree. Scholars will actively engage in co-curricular activities focused on cybersecurity, data science, and professional development to support their trajectories through undergraduate and graduate studies. The goal of the program is to help position scholars for full-time career opportunities that meet the needs of the industry. Graduating scholars will be equipped to contribute to industry demands and grand challenges of the 21st century in cybersecurity and data science.The research component of this project will inform the education research and computing communities about the specific elements that are needed to create inclusive learning environments in computing, while also building a foundation of knowledge on factors that facilitate the adoption and sustainability of evidence-based reforms that serve low income, academically talented students in computing. This study will utilize a sociocultural lens to examine how S-STEM scholars develop and expand communities of computing practice. Research methods will include participant observation, semi structured individual and group interviews, document analysis, and survey methods. Analysis will involve inductive and deductive coding practices, constant comparative analysis, and statistical analysis of differences in student outcomes. This project is funded by NSF’s Scholarships in Science, Technology, Engineering, and Mathematics program, which seeks to increase the number of low-income academically talented students with demonstrated financial need who earn degrees in STEM fields. It also aims to improve the education of future STEM workers, and to generate knowledge about academic success, retention, transfer, graduation, and academic/career pathways of low-income students.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.

该项目将通过利用在加利福尼亚州和德克萨斯州的四个高等教育机构的既定同意下，促进对受过良好教育的科学家，数学家，工程师和技术人员的国家需求。在6年的持续时间内，该项目将向具有经济需求的高分，低收入学生提供85个奖学金，其中24名将在Feer学院获得计算机科学学士学位（CS），然后转移到合作联盟4年的机构，以获得CS的学士学位。学者将获得最多四年的资金，并有可能再获得一年的研究生学位。学者将积极从事专注于网络安全，数据科学和专业发展的课外活动，以通过本科和研究生研究来支持其轨迹。该计划的目的是帮助学者为满足行业需求的全职职业机会定位。即将毕业的学者将等同于21世纪在网络安全和数据科学方面的行业需求和巨大挑战。该项目的研究组成部分将为教育研究和计算社区提供有关在计算方面创造包容性学习环境所需的特定要素的信息，同时还可以在计算中建立知识的基础，从而促进较低的资金和可持续性的知识，从而为可持续的改革提供了可持续性。这项研究将利用社会文化镜头来研究S-STEM学者如何发展和扩展计算实践的社区。研究方法将包括参与者的观察，半结构化的个人和小组访谈，文档分析和调查方法。分析将涉及归纳和演绎编码实践，持续的比较分析以及学生结果差异的统计分析。该项目由NSF在科学，技术，工程和数学计划方面的奖学金提供资金，该计划旨在增加具有证明经济需求的低收入学术才华的学生人数，他们在STEM领域获得了学位。它还旨在改善未来STEM工人的教育，并为低收入学生的学术成功，保留，转移，毕业以及学术/职业途径提供知识。该奖项反映了NSF的法定任务，并通过使用基金会的知识分子优点和更广泛的影响审查标准来通过评估来诚实地通过评估来诚实地支持。