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This resource has been developed to provide a framework for programme teams and lecturers to consider the role and place of group-work in their programmes and teaching and to plan and manage it in a way that enhances learning and promotes a positive student experience.
This document has been designed to provide a framework for thinking about group-work in a structured way and making decisions at each stage in the process: Programme Development; Module Planning; Assessing and Monitoring and Supporting. The flowchart shown in Figure 1 illustrates the process and identifies key questions to answer at each stage. The guidelines then deal with each stage in more depth.
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.
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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