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Enhancing Programme Approaches to Assessment and Feedback in Irish Higher Education: Case Studies, Commentaries and Tools
This web-based collection contains case studies, commentaries and tools supporting the enhancement of assessment and feedback in Irish higher education programmes. The collection showcases the contribution of 31 staff and two students, from 14 national and five international institutions. The topics explored in this collection highlight the complexity of programme approaches to assessment and feedback, in particular:
– the drivers of programme assessment change
– leading change to programme assessment
– exploring the evidence for what’s going on in programme(s) and
– ideas to enhance changes in programme(s) assessment.
The collection should be valuable to a range of stakeholders in higher education, i.e. academic staff, senior administrators, programme teams, students, quality assurance officers, education developers/technologists, assessment unit staff, etc.
Creative Commons Attribution (CC BY)
This work is licensed under a CC BY license, allowing sharing and adaptation with proper attribution.
https://creativecommons.org/licenses/by/4.0/If you have modified or adopted this resource, share your version here. Tracking adaptations helps us measure impact and connects others with useful updates.
A 1-page guide, co-created by lecturers, tutors & students on DkIT's MA in Learning and Teaching, showing where GenAI can, and can't, support particular postgraduate research/skill development (*reflecting practice 2025-26). Includes student-informed prompts on responsible, sustainable use. An editable PowerPoint supports adaptation to own context.
MTU researchers, together with national and international researchers, presented local, national, and global insights into the challenges and opportunities of assessment and feedback in work placement settings.
Teaching and Assessment for Learning Checklists aimed at early career & seasoned lecturers. The checklists provide guidance & reliable curated resources for lecturers who want to deliver an engaging and positive learning experience for their students. They act as a guide to check existing approaches, and help analyse how improvements can be made.
This OER guides students through human-in-the-loop software development, demonstrating how AI tools can be effectively supervised, refined, and integrated across the Software Lifecycle. Designed for computing educators and learners, it combines agile practice, teamwork, DISC awareness, testing, and critical reflection on human–AI collaboration.
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