Addressing the Artificial Intelligence (AI) Talent Gap

Outcomes of the First U.S. Nationally-Registered AI Apprenticeship Program

Dados Bibliográficos

ID22045299
AutoresCarla C Johnson (0000-0001-8757-1268, North Carolina State University, autor correspondente), Sera Harold (0000-0001-9818-2364, North Carolina State University), Jessica Chestnut (North Carolina State University), Katherine Glover (0000-0002-1616-0215, North Carolina State University), Janet B Walton (0000-0002-7531-5651, North Carolina State University)
Ano2025
Volume15
Fascículo3
Páginas324
Data de publicação2025-03-05
Open AccessSim
TipoARTICLE
PeriódicoEducation Sciences (JOURNAL)
Identificadores do periódicoISSN: 2227-7102 • E-ISSN: 2227-7102
EditoraMDPI AG (PUBLISHER • IT)
DOI10.3390/educsci15030324
OpenAlexW4408160409
IdiomaEN
Referências citadas27

The purpose of this study was to understand the motivations for and impact of participating in program coursework and related workplace-based learning and provide insights into the emerging field of AI workforce training. A cross-sectional survey research study was conducted to determine participant motivations for attending the AI program as well as the impact of participation in the AI program on individuals in regard to personal benefits and career trajectories. Participants in the AI program were motivated by the opportunity for job growth, whether that was in current or future roles. Personal benefits, such as upskilling, career advancement potential, and growth in confidence were all reported outcomes of participation in the program. Though most respondents in this study indicated holding current roles in computer science areas, a majority were seeking to grow their AI content knowledge and skills in order to assume more responsibilities in this growing area or to move into new roles which emphasize AI specifically

Apprenticeship · Medical education · Artificial Intelligence in Healthcare and Education · Biomedical and Engineering Education · Computer Science · Engineering Education and Technology · Medicine · Psychology · Artificial Intelligence

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