Content area

Abstract

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. This study drew on adult learning theory and the acknowledgement that learning takes place within the context of a complex and uncertain career landscape as described by the chaos theory of careers. 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.

Details

1009240
Business indexing term
Title
Addressing the Artificial Intelligence (AI) Talent Gap: Outcomes of the First U.S. Nationally-Registered AI Apprenticeship Program
Publication title
Volume
15
Issue
3
First page
324
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
22277102
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-03-05
Milestone dates
2025-01-28 (Received); 2025-02-28 (Accepted)
Publication history
 
 
   First posting date
05 Mar 2025
ProQuest document ID
3181430013
Document URL
https://www.proquest.com/scholarly-journals/addressing-artificial-intelligence-ai-talent-gap/docview/3181430013/se-2?accountid=208611
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-03-27
Database
2 databases
  • Coronavirus Research Database
  • ProQuest One Academic