
This report presents the findings from the validation process of the Artificial Intelligence (AI) Competence Framework for Youth Workers, developed under the AI4YouthWork project, a Cooperation Partnership co-funded by the European Union's Erasmus+ Programme. Based on transnational research into the AI competence needs of youth workers, the framework was designed to equip youth workers with the necessary competencies to integrate AI into their work. It offers a definition of the knowledge, attitudes and skills required in this context. As part of the project, the framework was validated by youth workers from across the European Union. Report Structure Chapter 1 introduces the AI4YouthWork project, outlining its objectives, the composition of the consortium, and the key deliverables; Chapter 2 outlines the methodology employed to validate the AI Competence Framework; Chapter 3 summarises the survey results, providing an overview of respondents’ profiles, geographical distribution, gender, and levels of AI knowledge; Chapter 4 provides a detailed discussion of the survey results, focusing on the relevance and quality of the framework and its practical application; Chapter 5 offers recommendations for improving the AI Competence Framework; Chapter 6 concludes the report by addressing the framework's importance and value for the youth work sector, the significance of the feedback received during the validation process, and areas for refinement to enhance the framework's practical application.
This publication received funding from the European Union’s Erasmus+ Programme under Grant Agreement No. 2023-2-IT03-KA220-YOU-000170929. Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or the granting authority. Neither the European Union nor the granting authority can be held responsible for them.
Youth, Artificial Intelligence, Youth Work, AI Skills
Youth, Artificial Intelligence, Youth Work, AI Skills
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
