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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| 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 |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED681276 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Items | – Name: Title Label: Title Group: Ti Data: 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 – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Karen+Gardiner%22">Karen Gardiner</searchLink><br /><searchLink fieldCode="AR" term="%22Nathan+Sick%22">Nathan Sick</searchLink><br /><searchLink fieldCode="AR" term="%22Julia+Payne%22">Julia Payne</searchLink><br /><searchLink fieldCode="AR" term="%22Hailey+D%27Elia%22">Hailey D’Elia</searchLink><br /><searchLink fieldCode="AR" term="%22Urban+Institute%22">Urban Institute</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Urban+Institute%22"><i>Urban Institute</i></searchLink>. 2026. – Name: Avail Label: Availability Group: Avail Data: Urban Institute. 2100 M Street NW, Washington, DC 20037. Tel: 202-261-5687; Fax: 202-467-5775; Web site: http://www.urban.org – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: N – Name: Pages Label: Page Count Group: Src Data: 40 – Name: DatePubCY Label: Publication Date Group: Date Data: 2026 – Name: SourceSuprt Label: Sponsoring Agency Group: SrcSuprt Data: Strada Education Foundation – Name: TypeDocument Label: Document Type Group: TypDoc Data: Reports - Research – Name: Audience Label: Education Level Group: Audnce Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink> – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Undergraduate+Students%22">Undergraduate Students</searchLink><br /><searchLink fieldCode="DE" term="%22Active+Learning%22">Active Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Projects%22">Student Projects</searchLink><br /><searchLink fieldCode="DE" term="%22Experiential+Learning%22">Experiential Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Skill+Development%22">Skill Development</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Internship+Programs%22">Internship Programs</searchLink><br /><searchLink fieldCode="DE" term="%22Program+Evaluation%22">Program Evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Employer+Attitudes%22">Employer Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Disproportionate+Representation%22">Disproportionate Representation</searchLink><br /><searchLink fieldCode="DE" term="%22Technological+Advancement%22">Technological Advancement</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Attitudes%22">Student Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Employment+Potential%22">Employment Potential</searchLink><br /><searchLink fieldCode="DE" term="%22Program+Effectiveness%22">Program Effectiveness</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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. – Name: AbstractInfo Label: Abstractor Group: Ab Data: ERIC – Name: DateEntry Label: Entry Date Group: Date Data: 2026 – Name: AN Label: Accession Number Group: ID Data: ED681276 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 40 Subjects: – SubjectFull: Artificial Intelligence Type: general – SubjectFull: Undergraduate Students Type: general – SubjectFull: Active Learning Type: general – SubjectFull: Student Projects Type: general – SubjectFull: Experiential Learning Type: general – SubjectFull: Skill Development Type: general – SubjectFull: Technology Uses in Education Type: general – SubjectFull: Internship Programs Type: general – SubjectFull: Program Evaluation Type: general – SubjectFull: Employer Attitudes Type: general – SubjectFull: Disproportionate Representation Type: general – SubjectFull: Technological Advancement Type: general – SubjectFull: Student Attitudes Type: general – SubjectFull: Employment Potential Type: general – SubjectFull: Program Effectiveness Type: general Titles: – TitleFull: 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 Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Urban Institute – PersonEntity: Name: NameFull: Karen Gardiner – PersonEntity: Name: NameFull: Nathan Sick – PersonEntity: Name: NameFull: Julia Payne – PersonEntity: Name: NameFull: Hailey D’Elia IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Type: published Y: 2026 Titles: – TitleFull: Urban Institute Type: main |
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