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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, as part of the ‘MU: UDL & U’ Plus One collection, was created to help staff to make small, manageable, incremental changes to teaching, learning and assessment design and practice in order to contribute to a more inclusive learning environment and experience for all students.
Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA)
This work is licensed under a CC BY-NC-SA license, allowing sharing and adaptation for non-commercial use with proper attribution, provided derivative works use the same license.
https://creativecommons.org/licenses/by-nc-sa/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.
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.
Through a thought-and-action mapping strategy known as interactive management, the current research modelled a unique, collaborative "pathway of impact influences" to describe such considerations from the perspectives of TUS higher management and external stakeholders.
As part of this project small workshops in linear algebra where held both nationally and internationally. The main workshop website is https://sites.google.com/view/tusdcu-linearalgebraworkshop/home
A one day workshop to help bring together early stage researchers to learn and discuss topics in Linear algebra.
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