Are We Helping Workers Reskill for the Future of Work? Using AI to Explore the Alignment of Online Course Offerings and Job Skill Requirements
= 134) was linked to the least. Computer and mathematical occupations had the highest proportion of courses wherein individuals can acquire basic and cross-functional skills, whereas food preparation and serving occupations had the lowest proportion of courses. Non-bright outlook occupations had a significantly lower proportion of online courses where individuals can acquire basic and cross-functional skills compared to occupations with a bright outlook designation. We expand on existing skills-matching perspectives to consider how training-skills demands fit can constrain or facilitate continuous learning and development. Further, we illustrate how LLMs can be used to efficiently and at scale summarize descriptive information on talent development issues.
Authors
- Harrison J. Kell (ORCID: https://orcid.org/0000-0002-9401-5371)
- Nathaniel M. Voss (ORCID: https://orcid.org/0000-0002-1595-0987)
- Margaret E. Beier (ORCID: https://orcid.org/0000-0001-5761-5610)
- Makai A. Ruffin (ORCID: https://orcid.org/0000-0003-4101-9966)
- Anoop A. Javalagi
- Felix Y. Wu
Institutions
- Human Resources Research Organization (US)
- Rice University (US)
Publication Details
- Journal
- Journal of Intelligence
- Published
- 2026-04-01
- DOI
- https://doi.org/10.3390/jintelligence14040059
- Primary Topic
- Higher Education and Employability
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Rice University