We evaluated the efficacy of a technical assistance (TA) model for increasing the competitiveness of historically Black colleges and universities (HBCUs) and other minority-serving institutions (MSI) seeking funding to expand their teacher training through the National Science Foundation (NSF)’s Robert Noyce Teacher Scholarship (Noyce) Program. The Noyce Program addresses the President’s Council of Advisors on Science and Technology (PCAST) goal to support at least 100,000 new STEM middle and high school teachers. The Quality Education for Minorities (QEM) Network engaged in a series of strategies to broaden participation of Noyce to MSIs, with the long-term goal of diversifying the pipeline of new STEM teachers. Results found that of the 335 active Noyce awards, 39 were awards to MSIs. Of the 39, 23 (59%) were awarded to institutions represented in at least one QEM Noyce TA workshop. This study looks at the potential of TA models for HBCUs and MSIs to generalize across a spectrum of initiatives aimed at strengthening the nation’s teacher education programs, and graduating quality STEM teachers.
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Keeping Data Science Broad: Negotiating the Digital and Data Divide Among Higher-Education Institutions
A report summarizing the “Keeping Data Science Broad” series including data science challenges, visions for the future, and community asks. The goal of the Keeping Data Science Broad series was to garner community input into pathways for keeping data science education broadly inclusive across sectors, institutions, and populations. Input was collected from a community input survey, three webinars (Data Science in the Traditional Context, Alternative Avenues for Development of Data Science Education Capacity, and Big Picture for a Big Data Science Education Network available to view through the South Big Data Hub YouTube channel) and an interactive workshop (Negotiating the Digital and Data Divide). Through these venues, we explore the future of data science education and workforce at institutions of higher learning that are primarily teaching-focused. The workshop included representatives from sixty data science programs across the nation, either traditional or alternative, and from a range of institution types including community colleges, Historically Black Colleges and Universities (HBCU’s), Hispanic-Serving Institutions (HSI’s), other minority-led and minority-serving institutions, liberal arts colleges, tribal colleges, universities, and industry partners.
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- Award ID(s):
- 1747961
- PAR ID:
- 10075971
- Date Published:
- Journal Name:
- Workshop: Bridging the Digital and Data Divide
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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