Date
Publisher
arXiv
TWG 5 focused on developing and implementing effective strategies for enhancing AI literacy and agency of teachers, equipping them with the knowledge and skills necessary to integrate AI into their teaching practices. Explorations covered curriculum design, professional development programs, practical classroom applications, and policy guidelines aiming to empower educators to confidently utilize AI tools and foster a deeper understanding of AI concepts among students.
Study at a glance
- Question: How can AI literacy and ethics be conceptualized, designed, and implemented across educational systems?
- Setting and data: EDUsummIT 2025 working group meeting in Dublin, synthesizing global AI frameworks and educational research.
- Method: Conceptual and policy analysis (expert working group synthesis).
Why it matters
The rapid growth of generative AI brings concerns about academic integrity, bias, and overreliance, alongside opportunities for personalized learning. Developing AI literacy has become an imperative for both teachers and students navigating these disruptions.
Key findings
- AI literacy comprises two distinct components: learning about AI (foundational technological concepts) and learning with AI (practical integration into learning activities).
- Global AI literacy frameworks consistently emphasize technical knowledge, tool use, human-centered perspectives, ethics, societal impact, and a progression from user to creator.
- Ethical AI literacy functions across four interconnected, overlapping ecological layers: the individual, the school context, state and national policies, and cultural norms.
Summary drafted with AI from the full paper and may contain errors. See the full paper for details.
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