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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 resource is a template for surveying students about their timetabling experiences. The survey was deployed in MTU, but the template is free to be copied and adapted as needed.
This document describes the first timetable coordinators workshop held in MTU in March 2025.
The report – Generative AI in Higher Education Teaching and Learning: Sectoral Perspectives – was commissioned as part of the Higher Education Authority’s evidence-led approach to policy development.
The report captures the views of staff, students, and leaders across the Irish higher education system on the opportunities and challenges posed by artificial intelligence.
It brings together insights from ten thematic focus groups and a leadership summit, involving over 80 participants from across Ireland’s higher education institutions, alongside student representatives and sectoral stakeholders.
The Higher Education Authority (HEA) is developing a National Professional Recognition Framework for Teaching and Learning to support the recognition of teaching excellence across the sector. The framework builds on the Professional Development Framework (2016) and aims to provide clear, nationally agreed benchmarks for effective teaching practice. It will help inform career development, support institutional processes, and promote a shared understanding of teaching quality in Irish higher education.
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