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.

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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

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article

Are We Helping Workers Reskill for the Future of Work? Using AI to Explore the Alignment of Online Course Offerings and Job Skill Requirements

Harrison J. Kell, Nathaniel M. Voss, Margaret E. Beier, Makai A. Ruffin et al.
Journal of Intelligence
Higher Education and Employability
article

Are We Helping Workers Reskill for the Future of Work? Using AI to Explore the Alignment of Online Course Offerings and Job Skill Requirements

Harrison J. Kell, Nathaniel M. Voss, Margaret E. Beier, Makai A. Ruffin, Anoop A. Javalagi, Felix Y. Wu
article en

Abstract

= 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.

Journal of IntelligenceVol. 14(4)
Human Resources Research Organization (US), Rice University (US)
Rice University
Decent work and economic growth
Openalex Percentile: Top 35%
Higher Education and Employability
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