Upskilling and Reskilling in the AI Era - A New Logic of Competence Development

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Auteur principal: Skrzymowska, Agnieszka
Format: Recurso digital
Langue:polonais
Publié: Zenodo 2025
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author Skrzymowska, Agnieszka
author_facet Skrzymowska, Agnieszka
contents <p>This article analyses the impact of generative artificial intelligence (GenAI) on the logic of professional competence development, with a particular focus on upskilling and reskilling. Starting from the observation of a growing gap between the pace of technological change and the ability of individuals to adapt, the author presents a shift from the traditional competence-based approach towards a more flexible and responsive capability-based development. The article is based on secondary source analysis (including WEF and DeVry reports), selected theoretical frameworks on competence development, and reflections from the IT sector, which is characterised by high volatility. The proposed experimental model, gAI-PT4I4, which integrates LLM, RAG, VR, and sentiment analysis, illustrates the potential for dynamic and personalised competence development in real time. The article concludes with an attempt to outline a new competence architecture, modular, co-created, embedded in real work environments, and supported by GenAI acting as a personalised tutor.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_15622994
institution Zenodo
language pol
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle Upskilling and Reskilling in the AI Era - A New Logic of Competence Development
Skrzymowska, Agnieszka
AI
Upskilling
Reskilling
competences of future
digital education
<p>This article analyses the impact of generative artificial intelligence (GenAI) on the logic of professional competence development, with a particular focus on upskilling and reskilling. Starting from the observation of a growing gap between the pace of technological change and the ability of individuals to adapt, the author presents a shift from the traditional competence-based approach towards a more flexible and responsive capability-based development. The article is based on secondary source analysis (including WEF and DeVry reports), selected theoretical frameworks on competence development, and reflections from the IT sector, which is characterised by high volatility. The proposed experimental model, gAI-PT4I4, which integrates LLM, RAG, VR, and sentiment analysis, illustrates the potential for dynamic and personalised competence development in real time. The article concludes with an attempt to outline a new competence architecture, modular, co-created, embedded in real work environments, and supported by GenAI acting as a personalised tutor.</p>
title Upskilling and Reskilling in the AI Era - A New Logic of Competence Development
topic AI
Upskilling
Reskilling
competences of future
digital education
url https://doi.org/10.5281/zenodo.15622994