Tag: higher education

Generative AI in Higher Education Teaching and Learning: Sectoral Perspectives

GenAI:N3

Source

Higher Education Authority

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.

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URL

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

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Gen AI Reports

How to use ChatGPT at university without cheating: ‘Now it’s more like a study partner’

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Three university students (two male, one female) are seated at a table with laptops and books, smiling and engaged in discussion. Behind them, a large transparent screen displays a glowing blue humanoid AI figure pointing to various academic data and charts. The setting is a modern library, conveying a collaborative study environment where AI acts as a helpful, non-cheating resource. Generated by Nano Banana.
Moving beyond fears of academic dishonesty, many students are now leveraging ChatGPT as an ethical ‘study partner’ to enhance their learning experience at university. This image illustrates a collaborative approach where AI supports understanding and exploration, rather than providing shortcuts, thereby fostering a new era of academic assistance. Image generated by Nano Banana.

Source

The Guardian

Summary

Many students now treat ChatGPT less like a cheating shortcut and more like a study partner: for grammar checks, revision, practice questions, and organising notes. Usage jumped from 66% to 92% in a year. Universities are clarifying rules: AI can support study but not generate assignment content. Educators stress AI literacy, awareness of risks (hallucinations, fake references), and critical thinking to ensure AI complements rather than replaces learning.

Key Points

  • Student AI use rose from ~66% to ~92% in a year; viewed more as a partner than a cheat tool.
  • Valid uses: organising notes, summarising, and generating practice questions.
  • Risks: overreliance, hallucinations, using AI to write assignments still banned.
  • Some universities track AI usage or require logs; policies clearer.
  • Message: AI should be supplemental, not a substitute; build literacy and critical skills.

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URL

https://www.theguardian.com/education/2025/sep/14/how-to-use-chatgpt-at-university-without-cheating-now-its-more-like-a-study-partner

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GenAI News

The Question All Colleges Should Ask Themselves About AI

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In a grand, traditional university library, a glowing holographic question mark formed from digital circuitry. Inside the question mark, the text reads "WHAT IS OUR PURPOSE IN THE AGE OF AI?". Image (and typos) generated by Nano Banana.
As Artificial Intelligence reshapes industries and societies, colleges and universities are confronted with a fundamental challenge: redefining their core purpose. This image powerfully visualises the critical question that all academic institutions must now address regarding their relevance, value, and role in an increasingly AI-driven world. Image (and typos) generated by Nano Banana.

Source

The Atlantic

Summary

AI is now deeply embedded in college life — often unauthorised — and colleges are struggling with responses. Many institutions fail to enforce coherent, system‑wide policies, risking degradation of learning, peer relationships, and integrity of scholarship. The article suggests radical measures like tech/device bans or stronger honour codes to defend educational values, while teaching responsible AI use where appropriate. Colleges must choose whether to integrate AI or resist it, guided by their core values.

Key Points

  • Unauthorised AI use undermines learning and fairness.
  • Removes opportunities for deep thinking and writing.
  • Institutional goals like originality are compromised by AI’s fabrications and IP issues.
  • Proposals: banning devices, honour codes, strict penalties.
  • Colleges must clarify values and boundaries for AI use.

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URL

https://www.theatlantic.com/culture/archive/2025/09/ai-colleges-universities-solution/684160/

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GenAI News

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.

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URL

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

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GenAI News

Harvard Professors Are Adapting To AI. It’s Time Students Do the Same.

GenAI:N3
In a collegiate lecture hall, a female professor stands at the front, gesturing towards a large transparent screen displaying "AI ADAPTATION STRATEGIES" and a network of connected digital nodes. Students are seated at wooden desks with laptops, many showing similar AI-related content, actively engaged in learning about AI. Image (and typos) generated by Nano Banana.
As institutions like Harvard embrace and adapt to the integration of AI, the educational landscape is shifting rapidly. This image depicts a professor leading a class on “AI Adaptation Strategies,” underscoring the vital need for students to also acquire the skills and mindset necessary to effectively navigate and utilise artificial intelligence in their academic and future professional lives. Image (and typos) generated by Nano Banana.

Source

The Harvard Crimson

Summary

Harvard professors are moving away from blanket bans on AI and shifting toward nuanced, transparent policies that balance academic integrity with practical realities. Assignments are being redesigned to reduce misuse, and students are urged to treat AI as a tool for learning rather than a shortcut. Success depends on both institutional frameworks and student responsibility.

Key Points

  • 80% of faculty suspect or know AI is used in assignments.
  • Shift from total bans to clearer, nuanced policies.
  • AI often used as shortcut, undermining learning.
  • New assessments: oral exams, group work, AI-use disclosures.
  • Framework success depends on student buy-in.

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URL

https://www.thecrimson.com/article/2025/9/10/previn-harvard-ai-polocies/

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