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This guide has been developed in collaboration between the MU IUA Enhancing Digital Teaching and Learning Initiative and MU Library to provide an introduction to the benefits and challenges associated with finding, using and sharing OERs in Teaching, Learning and Assessment.
Using OER can provide a number of benefits to staff and students: Freely available at no cost to the institution, or to students; Opportunity to provide a wide variety of learning resources and activities to students ; Straightforward framework for licensing and attribution ; In some cases they can be adapted and tailored to your needs and context. This libguide introduces OER, the associated benefits & challenges as well as guidance on finding/sharing OER. A helpful bibliography of key outputs in this space is also available.
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 report draws on Patricia Gibson’s research around critical approaches to Artificial Intelligence (AI) in Education and the increasing automation of Educational Technologies (EdTech).
This resource was created to share the learning from teaching adults with intellectual disabilities (ID) in IADT college as part of a national suite of pilot projects.
Comparing student and educator perceptions of generative artificial intelligence for teaching, learning and assessment: results from two institutional surveys
This case study outlines a first-year intervention at SETU Waterford using a timetabled weekly session to tackle common causes of academic failure such as time management, assessment planning. and study skills. It is intended for programme teams seeking practical, low-resource approaches to improving student progression and retention.
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