This OER presents an updated Assessment Redesign Framework for higher education in the age of GenAI. It supports educators and programme teams in designing valid, transparent, and scalable assessments, integrating AI literacy, process-focused approaches, and guidance on AI detection, large cohorts, and emerging agentic AI challenges.
Benefit of this resource and how to make the best use of it
This resource can be applied at module, programme, and institutional levels to support assessment redesign in AI-enhanced learning environments. Educators can use it to review existing assessments, introduce staged tasks, reflective elements, or oral components, and clarify expectations around AI use. Programme teams can apply it during curriculum review to balance AI-restricted and AI-integrated assessments and ensure alignment with learning outcomes and graduate attributes, including AI literacy.
Academic developers and instructional designers can integrate the framework into professional development workshops, curriculum design processes, and assessment policy discussions. It may also be adapted into checklists, templates, or review tools for programme validation, QA processes, and assessment mapping exercises, particularly in contexts involving large cohorts, anonymous marking, or evolving institutional AI guidelines.
This work is licensed under a CC BY-SA license, allowing adaptation and sharing with proper attribution, provided derivative works use the same license.
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Farrell, H. (09/02/2026). 2026 assessment redesign framework. National Resource Hub (Ireland). Retrieved from: https://hub.teachingandlearning.ie/resource/2026-assessment-redesign-framework/ License: Creative Commons Attribution-ShareAlike (CC BY-SA).
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