Evaluation of Break through Tech's AI Studio and Sprinternship Programs: How Do Experiential Learning Tech Programs Engage Employers and Expand Representation in the Tech Field? Research Report

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Bibliographic Details
Title: Evaluation of Break through Tech's AI Studio and Sprinternship Programs: How Do Experiential Learning Tech Programs Engage Employers and Expand Representation in the Tech Field? Research Report
Language: English
Authors: Karen Gardiner, Nathan Sick, Julia Payne, Hailey D’Elia, Urban Institute
Source: Urban Institute. 2026.
Availability: Urban Institute. 2100 M Street NW, Washington, DC 20037. Tel: 202-261-5687; Fax: 202-467-5775; Web site: http://www.urban.org
Peer Reviewed: N
Page Count: 40
Publication Date: 2026
Sponsoring Agency: Strada Education Foundation
Document Type: Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Artificial Intelligence, Undergraduate Students, Active Learning, Student Projects, Experiential Learning, Skill Development, Technology Uses in Education, Internship Programs, Program Evaluation, Employer Attitudes, Disproportionate Representation, Technological Advancement, Student Attitudes, Employment Potential, Program Effectiveness
Abstract: Break Through Tech offers undergraduate students technical skills training, professional readiness support, and real-world project experiences to help them attain in-college paid internships and post-college tech jobs. Program leadership commissioned a mixed methods evaluation of Break Through Tech's two experiential, project-based learning programs: AI Studio, a one-semester, part-time, virtual program and Sprinternship, a three-week, full-time, hybrid program. The evaluation focused on employer engagement and participants' (known as fellows) outcomes. The evaluation sheds light on how much the programs increase a sense of belonging in tech, the program components that fellows and employers value the most, employers' motivations to participate, and the outcomes of fellows. This report begins with an introduction of both programs and the research questions; subsequent sections summarize findings.
Abstractor: ERIC
Entry Date: 2026
Accession Number: ED681276
Database: ERIC
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