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The VISIEN Framework Document is a strategic guide for integrating immersive technologies (AR, VR, MR, XR) into higher education. It offers practical guidance on curriculum integration, accessibility, collaboration, skill development, institutional readiness, and more to support transformative teaching, learning, and research.
This OER index provides a selection of recent, high quality OER of varying content types (including articles, podcasts, presentations and textbooks), which are potentially relevant to TUS staff and students.
We were both impressed and worried to witness the rapid escalation in the ability of tools like ChatGPT to conjure credible-seeming scholarly prose ex-nihilo. Rather than leaving the assessment strategy in MEEN3010 exposed to AI plagiarism, we decided to shift the focus towards a more authentic and interactive learning activity; a poster session.
During the Spring trimester of 2024, in the UCD ‘Robotics Design Project’ (EEEN10020) module with 54 first-year undergraduate engineering students, we deliberately revised the assessment strategy. We evolved a take-home assignment into a pair of supervised in-class exercises.
A. Hickey, C. O’Faolain, J. Healy, K. Nolan, E. Doheny and P. Cuffe, “A Threat Assessment Framework for Screening the Integrity of University Assessments in the Era of Large Language Models”, presented at 8th IEEE International Forum on Research and Technologies for Society and Industry Innovation, Lecco, Italy, September 2024
Y. Mormul, J. Przybyszewski, T. Siriburanon, J. Healy and P. Cuffe, “Gauging the Capability of Artificial Intelligence Chatbot Tools to Answer Textbook Coursework Exercises in Circuit Design Education”, presented at IEEE International Conference on IT in Higher Education and Training, Paris, France, November 2024
A. Hickey, C. O’Faolain and P. Cuffe, “Large Language Models in Power Engineering Education: A Case Study on Solving Optimal Dispatch Coursework Problems”, presented at IEEE International Conference on IT in Higher Education and Training, Paris, France, November 2024
Y. Mormul, J. Przybyszewski, A. Nakoud and P. Cuffe, “Reliance on Artificial Intelligence Tools May Displace Research Skills Acquisition Within Engineering Doctoral Programmes: Examples and Implications”, presented at IEEE International Conference on IT in Higher Education and Training, Paris, France, November 2024
The Facilitating Learning with Animation and Multimedia Engagement (FLAME) project provides a framework to easily design, author, produce and publish rich interactive 3D media to support teaching and learning. The media can be viewed on any device with a web browser.
Publication created by our 2024 summer interns in DkIT.
Stepping out in Dundalk! This book will be a useful resource for our cohort international students someone useful tips on life on and off campus.
This OER is from a collection of ‘MU: UDL & U’ Plus One resources created by Maynooth University colleagues with the support of HEA PATH4 funding.
This OER is from a collection of ‘MU: UDL & U’ Plus One resources created by Maynooth University colleagues with the support of HEA PATH4 funding.
This OER is from a collection of ‘MU: UDL & U’ Plus One resources created by Maynooth University colleagues with the support of HEA PATH4 funding.
This OER is from a collection of ‘MU: UDL & U’ Plus One resources created by Maynooth University colleagues with the support of HEA PATH4 funding.
This OER is from a collection of ‘MU: UDL & U’ Plus One resources created by Maynooth University colleagues with the support of HEA PATH4 funding.
This OER is from a collection of ‘MU: UDL & U’ Plus One resources created by Maynooth University colleagues with the support of HEA PATH4 funding.
This OER is from a collection of ‘MU: UDL & U’ Plus One resources created by Maynooth University colleagues with the support of HEA PATH4 funding.
This OER is from a collection of ‘MU: UDL & U’ Plus One resources created by Maynooth University colleagues with the support of HEA PATH4 funding.
This OER is from a collection of ‘MU: UDL & U’ Plus One resources created by Maynooth University colleagues with the support of HEA PATH4 funding.
This OER is from a collection of ‘MU: UDL & U’ Plus One resources created by Maynooth University colleagues with the support of HEA PATH4 funding.
