Mapping Generative Artificial Intelligence (GenAI) in Irish Higher Education

As GenAI continues to emerge in teaching and learning in higher education, it is important to capture the evolving practices, research, and policies across Irish higher education institutions. This form gathers information on current initiatives to provide a national overview of how staff and institutions are engaging with these technologies.

We invite contributions on projects, innovations, research, and policies related to GenAI in teaching and learning. By contributing to this dataset, you will help build a clearer picture of the opportunities and challenges associated with GenAI in higher education, inform policy discussions, and foster collaboration between institutions.

Initiative Details
TitleATU AI/GenAI for Higher Education WHERE TO START?
Description

The “ATU AI/GenAI for Higher Education WHERE TO START?” developed by the Teaching and Learning Centre at Atlantic Technological University (ATU), is a comprehensive internal resource designed to support academic staff in responding to the increasing presence and influence of Artificial Intelligence (AI) and Generative AI (GenAI) within higher education.

While AI applications like ChatGPT become more and more readily accessible, we all are grappling with challenges in adapting teaching, learning and assessment practice while maintaining academic integrity and quality demands. This guide is a timely university response, providing clarity, guidance and tools for staff navigating this complex and evolving environment.

This starter guide responds to the desire for coherent and pragmatic strategies to integrate or manage the impact of GenAI in teaching, learning and assessment.  It guides the reader through six steps:

  1. Be aware of university policy with reference to AI/GenAI.
  2. Review university resources.
  3. Participant in AI related CPD and Training.
  4. External resources.
  5. Reconsideration of assessment Strategy and Practice
  6. Consideration of a greater worldview of AI/GenAI

In providing firm guidance on ATU’s policies and placing them within broader national and international contexts including the EU AI Act and National Academic Integrity Network (NAIN) Guidelines, it ensures that staff members are compliant with institutional policy while also being conscious of wider ethical, legal and pedagogical concerns.

While intended primarily to equip educators it is of relevance to all university staff members and students alike. The guide supports lecturers in revisiting their design for assessment in view of AI advancement, includes staff development and training opportunities, and assembles a broad array of internal and external material that enables and encourages responsible, ethical and creative application of GenAI. The guide further promotes a greater worldview with the inclusion of legal and sustainability concerns that go along with AI and enables a more reflective and enlightened academic community and society.

Instead of responding defensively to technological disruption, the guide encourages us to interact positively and innovatively with AI by rethinking pedagogy and assessment in a manner that maintains academic integrity and quality standards while embracing creativity and innovation. By consolidating policy direction, professional support and pedagogical materials in one single document, the guide both enhances institutional preparedness and signifies ATU’s leadership in defining the future of higher education in an age of AI.

Focus Area
  • Teaching practice or innovation
  • Staff development or training
  • Digital tool or platform use
  • Assessment-related innovation
  • Ethical or policy considerations
Discipline
  • Agriculture Forestry, Fisheries and Veterinary
  • Arts and Humanities
  • Business, Administration and Law
  • Education
  • Engineering, Manufacturing and Construction
  • Generic programmes and qualifications
  • Health and Welfare
  • Information and Communication Technologies
  • Natural Sciences, Mathematics and Statistics
  • Services
  • Social Sciences, Journalism and Information
  • Teaching and Learning
What level(s) of your institution does this work affect?
  • Institutional level
Relevant MaterialsATU-GenAi-Resource-sheet-Final.pdf
Contact Person
Institution NameAtlantic Technological University
Lead Contact NameNoreen Henry
Contributor(s) and Roles

Lead Authors: Annette Cosgrove (Lecturer in Computing and Digital T&L) and Noreen
Henry (Lecturer in Digital Media/Computing & TLC Academic Developer), plus input from
the wider TLC Gen AI innovation team.

Submissions are shared for the purposes of knowledge exchange and sector-wide learning around the use of Generative AI in teaching and learning. Any views and opinions expressed are those of the individual contributors and do not necessarily reflect those of the Higher Education Authority (HEA). Submitted content is not necessarily covered by this site’s Creative Commons license and may be subject to separate licensing or permissions from the contributors.