Understanding the Impacts of Generative AI Use on Children

URL: https://www.turing.ac.uk/sites/default/files/2025-06/understanding_the_impacts_of_generative_ai_use_on_children_-_wp1_report.pdf

Summary

This report, prepared by the Alan Turing Institute with support from the LEGO Group, explores the impacts of generative AI on children aged 8–12 in the UK, alongside the views of their parents, carers, and teachers. Two large surveys were conducted: one with 780 children and their parents/carers, and another with 1,001 teachers across primary and secondary schools. The study examined how children encounter and use generative AI, how parents and teachers perceive its risks and benefits, and what this means for children’s wellbeing, learning, and creativity.

Findings show that while household use of generative AI is widespread (55%), access and awareness are uneven, being higher among wealthier families and private schools, and lower in state schools and disadvantaged groups. About 22% of children reported using generative AI, most commonly ChatGPT, for activities ranging from creating pictures to homework help. Children with additional learning needs were more likely to use AI for communication and companionship. Both children and parents who used AI themselves tended to view it positively, though parents voiced concerns about inaccuracy, inappropriate content, and reduced critical thinking. Teachers were frequent adopters—two-thirds used generative AI for lesson planning and research—and generally optimistic about its benefits for their work. However, many were uneasy about student use, particularly around academic integrity and diminished originality in schoolwork.

Key Points

  • 55% of UK households surveyed report generative AI use, with access shaped by income, region, and school type.
  • 22% of children (aged 8–12) have used generative AI; usage rises with age and is far higher in private schools.
  • ChatGPT is the most popular tool (58%), followed by Gemini and Snapchat’s “My AI.”
  • Children mainly use AI for creativity, learning, entertainment, and homework; those with additional needs use it more for communication and support.
  • 68% of child users find AI exciting; their enthusiasm strongly correlates with parents’ positive attitudes.
  • Parents are broadly optimistic (76%) but remain concerned about exposure to inappropriate or inaccurate information.
  • Teachers’ adoption is high (66%), especially for lesson planning and resource design, but often relies on personal licences.
  • Most teachers (85%) report increased productivity and confidence, though trust in AI outputs is more cautious.
  • Teachers are worried about students over-relying on AI: 57% report awareness of pupils submitting AI-generated work as their own.
  • Optimism is higher for AI as a support tool for special educational needs than for general student creativity or engagement.

Conclusion

Generative AI is already part of children’s digital lives, but access, understanding, and experiences vary widely. It sparks excitement and creativity yet raises concerns about equity, critical thinking, and integrity in education. While teachers see strong benefits for their own work, they remain divided on its value for students. The findings underline the need for clear policies, responsible design, and adult guidance to ensure AI enhances rather than undermines children’s learning and wellbeing.

Generative AI in Higher Education Teaching and Learning: Sectoral Perspectives

URL: https://hea.ie/2025/09/17/generative-ai-in-higher-education-teaching-and-learning-sectoral-perspectives/

Summary

This report, commissioned by the Higher Education Authority (HEA), captures sector-wide perspectives on the impact of generative AI across Irish higher education. Through ten thematic focus groups and a leadership summit, it gathered insights from academic staff, students, support personnel, and leaders. The findings show that AI is already reshaping teaching, learning, assessment, and governance, but institutional responses remain fragmented and uneven. Participants emphasised the urgent need for national coordination, values-led policies, and structured capacity-building for both staff and students.

Key cross-cutting concerns included threats to academic integrity, the fragility of current assessment practices, risks of skill erosion, and unequal access. At the same time, stakeholders recognised opportunities for AI to enhance teaching, personalise learning, support inclusion, and free staff time for higher-value educational work. A consistent theme was that AI should not be treated merely as a technical disruption but as a pedagogical and ethical challenge that requires re-examining educational purpose.

Key Points

  • Sectoral responses to AI are fragmented; coordinated national guidance is urgently needed.
  • Generative AI challenges core values of authorship, originality, and academic integrity.
  • Assessment redesign is necessary—moving towards authentic, process-focused approaches.
  • Risks include skill erosion in writing, reasoning, and information literacy if AI is overused.
  • AI literacy for staff and students must go beyond tool use to include ethics and critical thinking.
  • Ethical use of AI requires shared principles, not just compliance or detection measures.
  • Inclusion is not automatic: without deliberate design, AI risks deepening inequality.
  • Staff feel underprepared and need professional development and institutional support.
  • Infrastructure challenges extend beyond tools to governance, procurement, and policy.
  • Leadership must shape educational vision, not just manage risk or compliance.

Conclusion

Generative AI is already embedded in higher education, raising urgent questions of purpose, integrity, and equity. The consultation shows both enthusiasm and unease, but above all a readiness to engage. The report concludes that a coordinated, values-led, and inclusive approach—balancing innovation with responsibility—will be essential to ensure AI strengthens, rather than undermines, Ireland’s higher education mission.

Keywords

Generative AI, Higher Education, Teaching and Learning, Assessment, Academic Integrity, AI Literacy, Ethical AI, Inclusion, Policy, Leadership