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Integrating Artificial Intelligence in Vocational and Adult Education: A Supplement to the DigCompEdu Framework

Authors: Bekiaridis, George; Attwell, Graham;

Integrating Artificial Intelligence in Vocational and Adult Education: A Supplement to the DigCompEdu Framework

Abstract

The AI Pioneers project, funded by the European Union, represents a significant initiative aimed at integrating Artificial Intelligence (AI) into the landscape of adult education and Vocational Education and Training (VET). Through a comprehensive methodology comprising of literature reviews, surveys, and interviews conducted with a wide range of educators and stakeholders, the project has identified key AI competencies that are essential for educators. These competencies align with the six areas of the DigCompEdu framework, including Professional Engagement, Digital Resources, Teaching and Learning, Assessment, Empowering Learners, and Facilitating Learners’ Digital Competence. The AI Pioneers project’s main findings highlight the need for educators to develop skills in data literacy, computational thinking, ethical considerations of AI use, and the integration of AI tools into educational practices. By supplementing the DigCompEdu framework with AI-specific competencies, the project contributes to the continuing professional development of teachers and trainers, ensuring they are well-prepared for the the challenges and opportunities presented by AI in education. This initiative not only enhances educators' digital competencies but also plays a crucial role in preparing students for a future where AI is ubiquitous, thereby shaping the future of educational practices and outcomes.

Keywords

Professional Development, vocational education and training, Educational Technology, digcompedu framework, educational technology, artificial intelligence, digital competence, General Works, DigCompEdu Framework, Artificial Intelligence, Vocational Education and Training, A, Digital Competence, professional development

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
gold
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