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Using Learning Analytics to Support the Enhancement of Teaching and Learning in Higher Education
The report looks at how learning analytics can be employed to the benefit of academic managers, staff and students. Employed intelligently, it can supply predictive models to better inform approaches to teaching, highlight what is working effectively and what is not and most importantly enable more focussed student interventions.
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The following ‘ten considerations for generative AI adoption’ outline key issues identified through dialogue with stakeholders across Ireland’s higher education sector, industry, and associated agencies between September and December 2024
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
This publication collects the posters shared at the 2023 Learning and Teaching Showcase at University College Cork, 5 December 2023. The posters are grouped into five themes: student engagement, inclusive teaching, academic integrity, digital education and education for sustainable development.
Infographic promoting Moodle’s analytics graphs, which come packaged in a single block and offer a host of statistics and figures on various aspects of students’ Moodle usage
