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

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

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

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.

Keywords

ChatGPT, AI literacy, study partner, academic integrity, student practices, higher education

Harvard Faculty Adapt AI Policies Amid Rising Student Use

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

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.

Keywords

Harvard, AI, higher education, academic integrity, policy