Data-Driven Identification of Skills for the Future: 21st-Century Skills for the 21st-Century Workforce

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 i...

Full description

Bibliographic Details
Main Author: Alvin Vista
Format: Article
Language:English
Published: SAGE Publishing 2020-04-01
Series:SAGE Open
Online Access:https://doi.org/10.1177/2158244020915904
id doaj-662f69800d7940e3af797a66ea5acbff
record_format Article
spelling doaj-662f69800d7940e3af797a66ea5acbff2020-11-25T03:23:36ZengSAGE PublishingSAGE Open2158-24402020-04-011010.1177/2158244020915904Data-Driven Identification of Skills for the Future: 21st-Century Skills for the 21st-Century WorkforceAlvin Vista0Current affiliation: Teach For All, New York City, NY, USAThe 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.https://doi.org/10.1177/2158244020915904
collection DOAJ
language English
format Article
sources DOAJ
author Alvin Vista
spellingShingle Alvin Vista
Data-Driven Identification of Skills for the Future: 21st-Century Skills for the 21st-Century Workforce
SAGE Open
author_facet Alvin Vista
author_sort Alvin Vista
title Data-Driven Identification of Skills for the Future: 21st-Century Skills for the 21st-Century Workforce
title_short Data-Driven Identification of Skills for the Future: 21st-Century Skills for the 21st-Century Workforce
title_full Data-Driven Identification of Skills for the Future: 21st-Century Skills for the 21st-Century Workforce
title_fullStr Data-Driven Identification of Skills for the Future: 21st-Century Skills for the 21st-Century Workforce
title_full_unstemmed Data-Driven Identification of Skills for the Future: 21st-Century Skills for the 21st-Century Workforce
title_sort data-driven identification of skills for the future: 21st-century skills for the 21st-century workforce
publisher SAGE Publishing
series SAGE Open
issn 2158-2440
publishDate 2020-04-01
description 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.
url https://doi.org/10.1177/2158244020915904
work_keys_str_mv AT alvinvista datadrivenidentificationofskillsforthefuture21stcenturyskillsforthe21stcenturyworkforce
_version_ 1724605501518381056