Advancing Student Futures in Science, Technology, Engineering, and Mathematics

这个项目在纽约市立大学纽约技术学院将有助于国家劳动力提供奖学金和教育支持，以学术上有前途的学生与经济需要的副学士学位课程在计算机科学和化学技术和学士学位课程在应用数学和生物医学信息学。由于计算机科学和应用数学的保留率和毕业率显示妇女代表性严重不足，该项目将非常重视招聘和招收更多的女学生，并提供经证据验证的干预措施，以支持她们的保留、毕业和进入劳动力市场。该学院是一所西班牙裔服务机构，在授予黑人学生的副学士级STEM学位数量方面排名全国第三，在授予男性学生的学位中排名第23，在授予女性的学位中排名第48。由于该学院是一个少数民族服务机构，提高保留和毕业将增加在干本科和研究生课程和纽约市劳动力的代表性不足的学生的参与，对学生个人，机构和更广泛的社区有不断扩大的社会和经济影响。通过积极的传播议程，该机构将与其他CUNY机构，西班牙裔服务机构和其他非研究密集型本科院校分享关键战略和成果。通过精心设计的活动，该项目将（1）招募并增加四个目标科学，技术，工程和数学（STEM）专业的参与，重点是女性，来自当地少数民族高中的有前途的代表性不足的学生，以及未申报的文科学生，他们有很强的数学准备;（2）保留和毕业的学术人才，通过大力鼓励学生每学期注册15个以上学分，以促进及时毕业的低收入学生;（3）在关键时刻提供全面的支持结构，包括财务支持，学术支持，学术支持和职业咨询，使用自然队列方法来发展专业的STEM身份;（4）增加学生从副学士学位到学士学位课程和STEM研究生学习的内部转移或通过就业安置;以及（5）评估和评价项目，采用持续改进的周期和明确定义的项目成功度量。该项目将建立在对有针对性的方案中关于保留和毕业的机构数据的深入分析的基础上，并将实施一套全面的学术和社会干预措施，如同行领导的团队学习和其他集体加强的高影响力实践，这些实践已被证明对低收入学生有效。此外，该学院生物医学信息学的新学士学位课程将培养计算机应用能力，使用构象和基因组数据来阐明生物现象，以及安全的电子存储，检索和医疗保健提供和研究中生物医学信息的使用，反映了新兴和快速变化领域的最新方法。

This project at CUNY New York College of Technology will contribute to the national workforce by providing scholarships and educational support to academically promising students with financial need in associate degree programs in computer science and chemical technology and baccalaureate degree programs in applied mathematics and biomedical informatics. Because retention and graduation rates in computer science and applied mathematics reveal a profound underrepresentation of women, the project will place a heavy emphasis on recruiting and enrolling greater numbers of female students and in providing evidence-validated interventions to support their retention, graduation, and workforce entry. The college is a Hispanic Serving Institution ranked third in the nation in the number of associate-level STEM degrees awarded to Black students, 23rd in degrees awarded to male students, and 48th in degrees awarded to women. Because the college is a minority-serving institution, improving retention and graduation will increase the participation of underrepresented students in STEM undergraduate and graduate programs and the New York City workforce, having ever-widening social and economic impact on individual students, the institution, and the wider community. Using an active dissemination agenda the institution will share key strategies and outcomes to other CUNY institutions, peer Hispanic Serving Institutions, and other non-research-intensive undergraduate institutions.Through well crafted activities the project will (1) recruit and increase participation in four targeted science, technology, engineering, and mathematics (STEM) majors, focusing on women, promising underrepresented students from local minority-serving high schools, and undeclared and liberal arts students with strong math preparation; (2) retain and graduate academically talented, low income students in STEM programs by strongly encouraging students to register for 15+ credits per semester to promote timely progress to graduation; (3) provide comprehensive support structures at critical junctures that include financial support, academic advisement, academic support, and career counseling, using a natural cohort approach to developing a professional STEM identity; (4) increase internal transfer of students from associate degree to baccalaureate degree programs and STEM graduate study or workforce placement through advisement; and (5) evaluate and assess the program, employing a cycle of continuous improvement and well-defined metrics of project success. The project will build upon intensive analysis of institutional data on retention and graduation in the targeted programs and will implement a comprehensive set of academic and social interventions such as Peer-Led Team Learning and other cohort-strengthening high impact practices that have proven effective with low-income students. In addition, the new baccalaureate program in Biomedical Informatics at the college will develop competencies in computer applications in the use of conformational and genomic data to elucidate biological phenomena and the secure electronic storage, retrieval, and use of biomedical information in healthcare delivery and research, reflecting the latest approaches in a burgeoning and rapidly changing field.