Tag: Policy

Social media is teaching children how to use AI. How can teachers keep up?

GenAI:N3
A split image contrasting two scenes. On the left, three young children are engrossed in tablets and smartphones, surrounded by vibrant social media interfaces featuring AI-related content and hashtags like "#AIforkids." On the right, a teacher stands in a traditional classroom looking somewhat perplexed at a whiteboard with "AI?" written on it, while students sit at desks, symbolizing the challenge for educators to keep pace with children's informal AI learning. Image (and typos) generated by Nano Banana.
While children are rapidly learning about AI through pervasive social media platforms, educators face the challenge of integrating this knowledge into formal learning environments. This image highlights the growing disconnect between how children are acquiring AI literacy informally and the efforts teachers must make to bridge this gap and keep classroom instruction relevant and engaging. Image (and typos) generated by Nano Banana.

Source

The Conversation

Summary

Students are learning to use AI mainly through TikTok, Discord, and peer networks, while teachers rely on informal exchanges and LinkedIn. This creates quick but uneven knowledge transfer that often skips deeper issues such as bias, equity, and ethics. A Canadian pilot project showed that structured teacher education transforms enthusiasm into critical AI literacy, giving educators both vocabulary and judgment to integrate AI responsibly. The article stresses that without institutional clarity and professional development, AI adoption risks reinforcing inequity and mistrust.

Key Points

  • Informal learning (TikTok, Discord, staff rooms) drives AI uptake but lacks critical depth.
  • Teacher candidates benefit from structured AI education, gaining language and tools to discuss ethics and bias.
  • Institutional AI policies are fragmented, leaving instructors without support and creating confusion.
  • Equity and bias are central concerns; multilingual learners may be disadvantaged by uncritical AI use.
  • Embedding AI literacy in teacher education and learning communities is critical to move from casual adoption to critical engagement.

Keywords

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URL

https://theconversation.com/social-media-is-teaching-children-how-to-use-ai-how-can-teachers-keep-up-264727

Summary generated by ChatGPT 5

GenAI News

QQI Generative Artificial Intelligence Survey Report 2025

GenAI:N3

Source

Quality and Qualifications Ireland (QQI), August 2025

Summary

This national survey captures the views of 1,229 staff and 1,005 learners across Ireland’s further, higher, and English language education sectors on their knowledge, use, and perceptions of generative AI (GenAI). The report reveals growing engagement with GenAI but also wide disparities in understanding, policy, and preparedness. Most respondents recognise AI’s transformative impact but remain uncertain about its role in assessment, academic integrity, and employability.

While over 80% of staff and learners believe GenAI will significantly change education and work over the next five years, few feel equipped to respond. Only 20% of staff and 14% of learners report access to GenAI training. Policies are inconsistent or absent, with most institutions leaving decisions on use to individual educators. Both staff and learners support transparent, declared use of GenAI but express concerns about bias, overreliance, loss of essential skills, and declining trust in qualifications. Respondents call for coherent national and institutional policies, professional development, and curriculum reform that balances innovation with integrity.

Key Points

  • 82% of respondents expect GenAI to transform learning and work within five years.
  • 63% of staff and 36% of learners believe GenAI literacy should be explicitly taught.
  • Fewer than one in five institutions currently provide structured GenAI training.
  • Policies on GenAI use are inconsistent, unclear, or absent in most institutions.
  • Over half of respondents fear skill erosion and reduced academic trust from AI use.
  • 70% of staff say assessment rules for GenAI lack clarity or consistency.
  • 83% of learners believe GenAI will change how they are assessed.
  • Staff and learners call for transparent declaration of GenAI use in assignments.
  • 61% of staff feel learners are unprepared to use GenAI responsibly in the workplace.
  • Respondents emphasise ethical governance, inclusion, and sustainable AI adoption.

Conclusion

The survey highlights a critical moment for Irish education: generative AI is already influencing learning and work, yet systems for policy, training, and ethics are lagging behind. To maintain public trust and educational relevance, QQI recommends a coordinated national response centred on transparency, AI literacy, and values-led governance that equips both learners and educators for an AI-driven future.

Keywords

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URL

https://www.qqi.ie/sites/default/files/2025-08/generative-artificial-intelligence-survey-report-2025.pdf

Summary generated by ChatGPT 5

Gen AI Reports

Explainable AI in education: Fostering human oversight and shared responsibility

GenAI:N3

Source

The European Digital Education Hub

Summary

This European Digital Education Hub report explores how explainable artificial intelligence (XAI) can support trustworthy, ethical, and effective AI use in education. XAI is positioned as central to ensuring transparency, fairness, accountability, and human oversight in educational AI systems. The document frames XAI within EU regulations (AI Act, GDPR, Digital Services Act, etc.), highlighting its role in protecting rights while fostering innovation. It stresses that explanations of AI decisions must be understandable, context-sensitive, and actionable for learners, educators, policy-makers, and developers alike.

The report emphasises both the technical and human dimensions of XAI, defining four key concepts: transparency, interpretability, explainability, and understandability. Practical applications include intelligent tutoring systems and AI-driven lesson planning, with case studies showing how different stakeholders perceive risks and benefits. A major theme is capacity-building: educators need new competences to critically assess AI, integrate it responsibly, and communicate its role to students. Ultimately, XAI is not only a technical safeguard but a pedagogical tool that fosters agency, metacognition, and trust.

Key Points

  • XAI enables trust in AI by making systems transparent, interpretable, explainable, and understandable.
  • EU frameworks (AI Act, GDPR) require AI systems in education to meet legal standards of fairness, accountability, and transparency.
  • Education use cases include intelligent tutoring systems and lesson-plan generators, where human oversight remains critical.
  • Stakeholders (educators, learners, developers, policymakers) require tailored explanations at different levels of depth.
  • Teachers need competences in AI literacy, critical thinking, and the ethical use of XAI tools.
  • Explanations should align with pedagogical goals, fostering self-regulated learning and student agency.
  • Risks include bias, opacity of data-driven models, and threats to academic integrity if explanations are weak.
  • Opportunities lie in supporting inclusivity, accessibility, and personalised learning.
  • Collaboration between developers, educators, and authorities is essential to balance innovation with safeguards.
  • XAI in education is about shared responsibility—designing systems where humans remain accountable and learners remain empowered.

Conclusion

The report concludes that explainable AI is a cornerstone for trustworthy AI in education. It bridges technical transparency with human understanding, ensuring compliance with EU laws while empowering educators and learners. By embedding explainability into both AI design and classroom practice, education systems can harness AI’s benefits responsibly, maintaining fairness, accountability, and human agency.

Keywords

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URL

https://knowledgeinnovation.eu/kic-publication/explainable-ai-in-education-fostering-human-oversight-and-shared-responsibility/

Summary generated by ChatGPT 5

Gen AI Reports