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Purpose of the MTU Student Guidelines
Supports Academic Integrity Principles and MTU’s Academic Integrity Policy by:
1. Explaining what academic integrity is.
2. Helping students avoid bad decisions during assessments.
3. Outlines and signposts supports available across MTU

The resource comprises of a literature review and an executive summary, developed as part of the Maynooth University Leadership and EducAtion Framework (LEAF) initiative. It explores how education frameworks can enhance teaching, learning and curriculum design in higher education, supporting inclusive, sustainable and values-led academic practice.

Academic Integrity Handbook for MTU staff.
Chapters:
1. Upholding Academic Integrity and Preventing Academic Misconduct
2. Detecting Academic Misconduct
3. Dealing with Academic Misconduct

This landscape report provides an overview of Education for Sustainable Development (ESD) practice across the higher education sector in Ireland. It draws together publicly available institutional strategies, HEA Performance Framework Agreements 2024–2028, Climate Action Roadmaps and ESD to 2030 progress reports to outline current approaches to embedding ESD.

Structured as a series of institutional case studies, the report highlights how ESD is being addressed across teaching and learning, research, engagement and whole-institution practice, and identifies opportunities for collaboration and shared learning across the sector.

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 report presents findings from the HEA Student Success Survey 2025, capturing how students across Ireland define, experience and achieve success in higher education. Based on responses from over 3,400 students across publicly funded higher education institutions, it provides a national, student-centred perspective on success.

The report explores students’ definitions of success, the supports and enablers that help them thrive, and the barriers that can hinder progress. It highlights the relational and holistic nature of student success, encompassing academic achievement alongside well-being, belonging, personal growth and future readiness.

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.

This poster offers educators an overview of designing a syllabus on the Canvas learning management system that supports personalised learning pathways. It highlights (1) a gamified pedagogy grounded in gaming principles and (2) adaptive learning strategies using MasteryPaths.

The Manifesto for Generative AI in Higher Education is a living resource for educators, students, and institutions. It invites reflection and dialogue across thirty statements exploring teaching, ethics, and imagination – helping higher education navigate AI with curiosity, integrity, and humanity.