ERIC Number: EJ1259615
Record Type: Journal
Publication Date: 2020
Pages: 10
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-2158-2440
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Available Date: N/A
Data-Driven Identification of Skills for the Future: 21st-Century Skills for the 21st-Century Workforce
SAGE Open, v10 n2 Apr-Jun 2020
The world is rapidly changing, and the systemic shifts have the potential to affect the nature of work. To prepare the workforce, it is crucial to develop the skills that will be necessary for the unpredictable landscape of the future. Before these skills can be developed, however, they have to be identified and quantified through some form of valuation. It is important that the approach to skills valuation is empirically defensible. This article presents an approach to skills valuation that focuses on the extent to which a skill facilitates occupational transitions as its measure of value. This valuation metric is then developed using a graph-theoretic approach. Results show that this valuation reflects skills-importance that aligns with existing skills valuation in the literature. Limitations of this approach and its potential extensions are discussed.
Descriptors: Data Use, 21st Century Skills, Job Skills, Skill Development, Labor Force Development, Technical Occupations, Architecture, Social Sciences, Identification, Evaluation, Measurement, Futures (of Society)
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
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Author Affiliations: N/A