Tag: Education

Ethical Guidelines on the Use of Artificial Intelligence (AI) and Data in Teaching and Learning for Educators

GenAI:N3

Source

European Commission: Directorate-General for Education, Youth, Sport and Culture, Guidelines on the ethical use of artificial intelligence and data in teaching and learning for educators, Publications Office of the European Union, 2026, https://data.europa.eu/doi/10.2766/7967834

Summary

These European Commission guidelines provide practical and ethical direction for educators using artificial intelligence (AI) and data-driven technologies in teaching and learning. Aimed primarily at school education but broadly applicable across educational contexts, the document emphasises that AI should enhance human-centred, inclusive, and equitable education. It introduces a structured framework to help educators critically assess AI tools, ensuring their use aligns with pedagogical goals, respects learners’ rights, and supports professional autonomy.

The guidelines are grounded in key ethical principles, including human agency, transparency, fairness, privacy, and accountability. They highlight the importance of developing AI literacy among educators and learners, enabling them to understand how AI systems function, what data they use, and what limitations they carry. A strong emphasis is placed on critical engagement—educators are encouraged to question AI outputs, address bias, and avoid overreliance on automated systems. The document also provides a practical self-reflection tool to support educators in evaluating AI tools across dimensions such as reliability, safety, inclusiveness, and educational value.

Key Points

  • AI should support human-centred, inclusive teaching and learning.
  • Educators retain responsibility for decisions made using AI tools.
  • Transparency and explainability are essential for trust in AI systems.
  • AI literacy is critical for both teachers and learners.
  • Data protection and privacy must comply with GDPR principles.
  • Bias and fairness must be actively monitored and mitigated.
  • Educators should critically evaluate AI outputs and limitations.
  • AI tools should align with pedagogical goals, not drive them.
  • A self-reflection framework supports responsible AI adoption.
  • Ethical use of AI requires ongoing professional development and awareness.

Conclusion

The guidelines position AI as a valuable but carefully bounded tool in education. By embedding ethical reflection, critical engagement, and human oversight into everyday practice, educators can harness AI’s benefits while protecting learner rights, educational integrity, and professional judgement.

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URL

https://op.europa.eu/en/publication-detail/-/publication/f692aa0b-17a7-11f1-8870-01aa75ed71a1

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Gen AI Reports

Students using ChatGPT beware: Real learning takes legwork, study finds

GenAI:N3
split image illustrating two contrasting study methods. On the left, a student in a blue-lit setting uses a laptop for "SHORT-CUT LEARNING" with "EASY ANSWERS" floating around. On the right, a student in a warm, orange-lit setting is engaged in "REAL LEGWORK LEARNING," writing in a notebook with open books and calculations. A large question mark divides the two scenes. Image (and typos) generated by Nano Banana.
The learning divide: A visual comparison highlights the potential pitfalls of relying on AI for “easy answers” versus the proven benefits of diligent study and engagement, as a new study suggests. Image (and typos) generated by Nano Banana.

Source

The Register

Summary

A new study published in PNAS Nexus finds that people who rely on ChatGPT or similar AI tools for research develop shallower understanding compared with those who gather information manually. Conducted by researchers from the University of Pennsylvania’s Wharton School and New Mexico State University, the study involved over 10,000 participants. Those using AI-generated summaries retained fewer facts, demonstrated less engagement, and produced advice that was shorter, less original, and less trustworthy. The findings reinforce concerns that overreliance on AI can “deskill” learners by replacing active effort with passive consumption. The researchers conclude that AI should support—not replace—critical thinking and independent study.

Key Points

  • Study of 10,000 participants compared AI-assisted and traditional research.
  • AI users showed shallower understanding and less factual recall.
  • AI summaries led to homogenised, less trustworthy responses.
  • Overreliance on AI risks reducing active learning and cognitive engagement.
  • Researchers recommend using AI as a support tool, not a substitute.

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URL

https://www.theregister.com/2025/11/03/chatgpt_real_understanding/

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GenAI News

This Professor Let Half His Class Use AI. Here’s What Happened

GenAI:N3
A split classroom scene with a professor in the middle, presenting data. The left side, labeled "GROUP A: WITH AI," shows disengaged students with "F" grades. The right side, labeled "GROUP B: NO AI," shows engaged students with "A+" grades, depicting contrasting outcomes of AI use in a classroom experiment. Image (and typos) generated by Nano Banana.
An academic experiment unfolds: Visualizing the stark differences in engagement and performance between students who used AI and those who did not, as observed by one professor. Image (and typos) generated by Nano Banana.

Source

Gizmodo

Summary

A study by University of Massachusetts Amherst professor Christian Rojas compared two sections of the same advanced economics course—one permitted structured AI use, the other did not. The results revealed that allowing AI under clear guidelines improved student engagement, confidence, and reflective learning but did not affect exam performance. Students with AI access reported greater efficiency and satisfaction with course design while developing stronger habits of self-correction and critical evaluation of AI outputs. Rojas concludes that carefully scaffolded AI integration can enrich learning experiences without fostering dependency or academic shortcuts, though larger studies are needed.

Key Points

  • Structured AI use increased engagement and confidence but not exam scores.
  • Students used AI for longer, more focused sessions and reflective learning.
  • Positive perceptions grew regarding efficiency and instructor quality.
  • AI integration encouraged editing, critical thinking, and ownership of ideas.
  • Researchers stress that broader trials are required to validate results.

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URL

https://gizmodo.com/this-professor-let-half-his-class-use-ai-heres-what-happened-2000678960

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GenAI News

Is Increasing Use of AI Damaging Students’ Learning Ability?

GenAI:N3
A split image contrasting two groups of students in a classroom. On the left, a blue-lit side represents "COGNITIVE DECAY" with students passively looking at laptops receiving "EASY ANSWERS." On the right, an orange-lit side represents "CRITICAL THINKING" and "CREATIVITY" with students actively collaborating and working. Image (and typos) generated by Nano Banana.
A critical question posed: Does the growing reliance on AI lead to cognitive decay, or can it be harnessed to foster critical thinking and creativity in students? Image (and typos) generated by Nano Banana.

Source

Radio New Zealand (RNZ) – Nine to Noon

Summary

University of Auckland professor Alex Sims examines whether the growing integration of artificial intelligence in classrooms and lecture halls enhances or impedes student learning. Drawing on findings from an MIT neuroscience study and an Oxford University report, Sims highlights both the cognitive effects of AI use and students’ own accounts of its impact on motivation and understanding. The research suggests that while AI tools can aid efficiency, overreliance may disrupt the brain processes central to deep learning and independent reasoning. The discussion raises questions about how to balance technological innovation with the preservation of critical thinking and sustained attention.

Key Points

  • AI use in education is expanding rapidly across levels and disciplines.
  • MIT research explores how AI affects neural activity linked to learning.
  • Oxford report includes students’ perceptions of AI’s influence on study habits.
  • Benefits include efficiency; risks include reduced cognitive engagement.
  • Experts urge educators to maintain a balance between AI support and active learning.

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URL

https://www.rnz.co.nz/national/programmes/ninetonoon/audio/2019010577/is-increasing-use-of-ai-damaging-students-learning-ability

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GenAI News

Guidance on Artificial Intelligence in Schools

GenAI:N3

Source

Department of Education and Youth & Oide Technology in Education, October 2025

Summary

This national guidance document provides Irish schools with a framework for the safe, ethical, and effective use of artificial intelligence (AI), particularly generative AI (GenAI), in teaching, learning, and school leadership. It aims to support informed decision-making, enhance digital competence, and align AI use with Ireland’s Digital Strategy for Schools to 2027. The guidance recognises AI’s potential to support learning design, assessment, and communication while emphasising human oversight, teacher professionalism, and data protection.

It presents a balanced view of benefits and risks—AI can personalise learning and streamline administration but also raises issues of bias, misinformation, data privacy, and environmental impact. The report introduces a 4P framework—Purpose, Planning, Policies, and Practice—to guide schools in integrating AI responsibly. Teachers are encouraged to use GenAI as a creative aid, not a substitute, and to embed AI literacy in curricula. The document stresses the need for ethical awareness, alignment with GDPR and the EU AI Act (2024), and continuous policy updates as technology evolves.

Key Points

  • AI should support, not replace, human-led teaching and learning.
  • Responsible use requires human oversight, verification, and ethical reflection.
  • AI literacy for teachers, students, and leaders is central to safe adoption.
  • Compliance with GDPR and the EU AI Act ensures privacy and transparency.
  • GenAI tools must be age-appropriate and used within consent frameworks.
  • Bias, misinformation, and “hallucinations” demand critical human review.
  • The 4P Approach (Purpose, Planning, Policies, Practice) structures school-level implementation.
  • Environmental and wellbeing impacts must be considered in AI use.
  • Collaboration between the Department, Oide, and schools underpins future updates.
  • Guidance will be continuously revised to reflect evolving practice and research.

Conclusion

The guidance frames AI as a powerful but high-responsibility tool in education. By centring ethics, human agency, and data protection, schools can harness AI’s potential while safeguarding learners’ wellbeing, trust, and equity. Its iterative, values-led approach ensures Ireland’s education system remains adaptive, inclusive, and future-ready.

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URL

https://assets.gov.ie/static/documents/dee23cad/Guidance_on_Artificial_Intelligence_in_Schools_25.pdf

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