Creator(s) (alphabetical)
Organisation(s)
Discipline(s)
Topic(s)
License
Media Format
Date Submitted
Submitted by
Export Resource Data
Learning from the Evaluation of Assessment: How Faculty and Staff Can Use Results to Inform Practice
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.
This project presents an innovative engineering assessment framework integrating generative AI through a poster portfolio, AI reflection, and oral interview. It supports critical thinking, validation skills, and ethical AI use, and is designed for undergraduate engineering educators and students in project-based learning contexts.
The purpose of this resource is to allow Moodle teachers to quickly create quizzes for Moodle. Users can quickly select between questions types through a single interface and export their questions as an XML file which can be imported into Moodle.
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.
This resource showcases initiatives from both academic and professional support areas across DCU, which have been funded under SATLE – the Strategic Alignment of Teaching and Learning Enhancement Funding in Higher Education. Examples are provided under the themes of Education for Sustainable Development, Digital transformation & Academic Integrity
[shortify_qr]
