Enhancing Career Outcomes Through Mentoring, Research, and Focused Career Discernment in Science, Technology, Engineering, and Mathematics

通过科学、技术、工程和数学领域的指导、研究和集中职业辨别来提高职业成果

• 批准号: 2220973
• 负责人: Mark Jordan
• 金额: $ 148.58万
• 依托单位: Seattle University
• 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: 2023-01-01 至 2028-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2220973&HistoricalAwards=false
• 关键词: Enhancing; Career; Outcomes; Through; Mentoring

This project will contribute to the national need for well-educated scientists, mathematicians, engineers, and technicians by supporting the retention and graduation of high-achieving, low-income students with demonstrated financial need at Seattle University, a comprehensive private Jesuit university of approximately 7,500 primarily undergraduate students. Over its six-year duration, this project will fund scholarships to 24 unique full-time students who are pursuing bachelor’s degrees in biology, chemistry, or mathematics. Low-income, academically-talented, and first-generation students will be awarded scholarships of $10,000 for four years. Building on institutional research, lessons learned from prior awards from the S-STEM program, the research literature, and an understanding of the unique experiences of low-income first-generation students, the project will provide financial support and a system of academic and support services to foster student success. Through evaluation, the project will assess the significance of an early research experience in data science as a catalyst for biology, chemistry, and mathematics majors’ further research and job placement. Examinations of an innovative badging program to incentivize the use of campus services and participation in project activities will generate knowledge about the effectiveness of gamification in encouraging participation in a multi- dimensional, structured career discernment process, thus complementing an emergent literature focused on gamification in classroom settings. Graduating scholars will have fundamental skills in data science, a critical area of national need and a valuable skill set across a range of STEM industries. They will be well prepared for regional opportunities in the technology, life sciences/biotech, and environmental sectors. Beyond the students directly served, this program will improve Seattle University’s mechanisms for connecting all STEM majors to support offices across campus, increasing the retention and career preparation of our diverse student body. The overall goal of this project is to increase STEM degree completion of low-income, high-achieving undergraduates with demonstrated financial need. Four key objectives guide the project. First is to award scholarships to low-income, academically talented students majoring in biology, chemistry, or mathematics. Second is to increase graduation rates of low-income students in those fields. Third is to provide students with an early, interdisciplinary research experience in data science and targeted career formation activities. Fourth, and finally, is to improve understanding of how to connect students with academic and career services, such as tutoring and career planning. To meet these objectives, the project includes three major components: a badge-award system to incentivize the use of support services; a Career Discernment Toolkit, which encourages students to explore possible career options; and a second-year data science course, which is designed as an entry point into undergraduate research. Using a mixed methods design, the project will assess the impact of student participation in project activities on academic success and employment outcomes and the effectiveness of gamification in encouraging the use of campus services. Promising practices adapted or developed through this program, such as badging, the Career Discernment Toolkit, and the interdisciplinary research course, will be disseminated broadly to other colleges and universities through the University website, conference presentations, and publications. 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 ofThis 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.

该项目将通过支持高成就，低收入学生的保留和毕业，在西雅图大学（一所综合私人耶稣会大学，大约7,500名小学生中，有经济需求），这将为受过良好教育的科学家，数学家，工程师和技术的国家需求做出贡献。在六年的持续时间内，该项目将为24名独特的全日制学生提供奖学金，这些学生正在追求学士学位，学术界有才华，第一代学生将获得四年的10,000美元奖学金。该项目以机构研究为基础，从S-STEM计划，研究文献中学到的经验教训，以及对低收入第一代学生的独特经历的理解，该项目将提供财务支持和学术和支持服务系统，以促进学生成功。通过评估，该项目将评估数据科学早期研究经验作为生物学，化学和数学专业的进一步研究和就业安置的催化剂的重要性。对激励使用校园服务和参与项目活动的创新徽章计划的考试将产生有关游戏化在鼓励参与多维，结构化的职业识别过程方面的有效性的知识，从而完成了针对课堂环境游戏游戏化的新兴文献。即将毕业的学者将具有数据科学的基本技能，国家需求的关键领域以及一系列STEM行业的宝贵技能。他们将为技术，生命科学/生物技术和环境领域的区域机会做好充分的准备。除了直接服务的学生之外，该计划还将改善西雅图大学连接所有STEM专业的机制，以支持整个校园的办公室，从而增加我们多样化的学生团体的保留和职业准备。该项目的总体目标是增加茎学位的完成，以证明财务需求，使低收入，高成就的大学生的本科生完成。四个关键目标指导项目。首先是将奖学金授予生物学，化学或数学专业的低收入，学术才华的学生。其次是提高这些领域中低收入学生的成绩。第三是为学生提供数据科学和针对性职业形成活动的早期跨学科研究经验。第四，最后是提高对如何将学生与学术和职业服务（例如辅导和职业计划）联系起来的理解。为了实现这些目标，该项目包括三个主要组成部分：徽章宣布的系统，以激励使用支持服务；职业识别工具包，鼓励学生探索可能的职业选择；以及二年级的数据科学课程，该课程被设计为本科研究的切入点。使用混合方法设计，该项目将评估学生参与项目活动对学术成功和就业成果的影响以及游戏化在鼓励使用校园服务方面的有效性。通过该计划改编或开发的有希望的实践，例如徽章，职业识别工具包和跨学科研究课程，将通过大学网站，会议演讲和出版物大量传播给其他学院和大学。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，该计划旨在增加在STEM领域获得学位的经济需求的准确治疗的低收入学生的数量。它还旨在改善未来STEM工人的教育，并为该奖项的学术成功，保留，转移，毕业以及学术/职业途径提供知识，这反映了NSF的法定任务，并通过使用该基金会的知识分子优点和更广泛的影响来评估NSF的法定任务。