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Front‐loading STEM enrichment to prepare learners for STEM pathways.

  • Published In: Annals of the New York Academy of Sciences, 2023, v. 1520, n. 1. P. 161 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Olszewski‐Kubilius, Paula 3 of 3

Abstract

In this article, we describe a collaboration between a university and school district aimed at preparing more students who are typically underidentified and underserved in gifted programs for advanced STEM coursework in high school. Features of the collaboration included early intervention, significant outside‐of‐school programming and coursework in STEM through elementary and middle school (over 400 h), tutoring, and support for families. Data included scores on two standardized achievement tests for 14 cohorts of students who self‐identified as African American and/or Hispanic (361 total students) as they progressed from Grade 3 to Grade 8, placement in accelerated mathematics courses in Grade 9, and college matriculation. Comparisons were made to data for comparable demographic groups within the school district. Results showed greater growth in reading and mathematics compared to demographic peers in the district reaching achievement levels comparable to the highest‐scoring students in the district. There were significant increases in the percentage of students entering high school with advanced placement in mathematics as well as improvement over multiple cohorts in matriculation at more selective institutions of higher education. Results are discussed with respect to best practices for the identification of students with potential STEM talent, effective university–school partnerships, and STEM‐talent development pathways. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Annals of the New York Academy of Sciences. 2023/02, Vol. 1520, Issue 1, p161
  • Document Type:Article
  • Subject Area:Education
  • Publication Date:2023
  • ISSN:0077-8923
  • DOI:10.1111/nyas.14948
  • Accession Number:162030786
  • Copyright Statement:Copyright of Annals of the New York Academy of Sciences is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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