Higher Education Policy

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This discussion paper explores how student success in higher education is understood, defined and supported in contemporary Irish and international contexts. It brings together international research, national policy and insights from student focus groups conducted in Ireland in 2025 to examine success beyond traditional metrics such as retention, progression and completion.

The paper presents a holistic and relational view of student success, foregrounding belonging, mattering, agency and wellbeing alongside academic and outcomes-based measures. It situates student success as simultaneously student-defined, institution-enabled and outcomes-oriented, and considers the implications of this framing for teaching, learning, policy and system-level practice.

This document sets out a detailed, values-led framework to support the ethical adoption of generative artificial intelligence (gen AI) in teaching and learning across Irish higher education. It builds on the HEA Generative AI Policy Framework by translating high-level principles into concrete provisions to guide institutional policy, governance and educational practice.

The principles address five core areas: academic integrity, equity and inclusion, critical engagement and AI literacy, privacy and data governance, and sustainable pedagogy. Together, they provide institutions with a practical reference for navigating the ethical, pedagogical and organisational challenges associated with generative AI, while safeguarding academic standards, student rights and institutional autonomy.

This policy framework provides national guidance for the responsible and values-based use of generative artificial intelligence (gen AI) in teaching and learning within Irish higher education. It is designed to support educators, academic leaders and professional staff in making informed decisions about the adoption and integration of gen AI technologies in educational practice.

The framework focuses specifically on teaching and learning, addressing issues such as academic integrity, assessment design, equity and inclusion, AI literacy, privacy and data governance, and sustainable pedagogy. It sets out five core principles to guide institutional policy development and practice, while allowing for local adaptation and institutional autonomy.