From Spark to STEM: Designing Outreach that Sustains a Talent Pipeline for Students to Higher Education.
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| Title: | From Spark to STEM: Designing Outreach that Sustains a Talent Pipeline for Students to Higher Education. |
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| Authors: | Ivy, Samuel1 (AUTHOR) sjivy@pvamu.edu |
| Source: | Gifted Child Today Magazine. Jul2026, Vol. 49 Issue 3, p268-273. 6p. |
| Subject Terms: | *Talent development, *Outreach programs, *Community involvement, *Evaluation methodology, *Curriculum planning, *Science education, *Teacher development, Mentoring |
| Abstract: | Science, Technology, Engineering, and Mathematics (STEM) outreach for students must function as more than a collection of enrichment events; it must operate as a coherent talent-development pipeline that strengthens identity, deepens disciplinary understanding, and connects students to sustained mentorship and opportunity. Building on a system-of-systems analysis of outreach stakeholders, and place-based evidence demonstrating gains in interest and self-efficacy among middle-school students, this column presents an outreach framework tailored toward increasing STEM impact. The framework centers on inquiry-rich learning; culturally relevant, community-anchored curriculum; structured near-peer mentorship; teacher professional development; and family navigation supports. We further illustrate how a service-academy–HBCU partnership expands regional capacity through co-developed modules, train-the-trainer cycles, and mobile workshops. Finally, we describe how programs can institutionalize logistics and evaluation to measure both learning and linkage (movement to the next opportunity). Together, these elements create a scalable model that transforms early interest into durable pathways to advanced STEM study and careers. [ABSTRACT FROM AUTHOR] |
| Copyright of Gifted Child Today Magazine is the property of Sage Publications Inc. 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.) | |
| Database: | Education Research Complete |
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