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Teaching and Learning in Irish Higher Education: A Roadmap for Enhancement in a Digital World 2015-2017
One of the key goals of the National Forum is, via wide consultation, to create a digital roadmap to help to guide institutions and organisations in the development of local and national digital strategies and to ensure alignment, coherence and a sense of common endeavour at a sectoral level.
This document is designed to inform and guide senior managers, heads of department, schools or faculties and leaders within the higher education sector. It focuses also on systems-level higher education organisations, as well as representative organisations within the sector which together must take the lead in building digital capacity to enhance teaching and learning across the sector. The roadmap identifies the key priorities for change and provides an informed framework for supporting organisations in addressing these
priorities.
Creative Commons Attribution (CC BY)
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This OER presents findings from a comparative study of novice programmers engaging in face-to-face and hybrid pair programming. It explores collaboration patterns, role switching, satisfaction, and challenges, offering evidence-based insights for educators seeking to prepare students for effective teamwork in modern hybrid software development.
This OER explores novice programmers’ experiences of pair programming across face-to-face, hybrid, and remote settings. It provides insights into collaboration, role switching, satisfaction, and challenges, helping educators and students understand how to effectively prepare learners for modern hybrid software development environments.
This OER guides students through human-in-the-loop software development, demonstrating how AI tools can be effectively supervised, refined, and integrated across the Software Lifecycle. Designed for computing educators and learners, it combines agile practice, teamwork, DISC awareness, testing, and critical reflection on human–AI collaboration.
This OER introduces students to designing and developing AI-powered assistants for agile software development using Flowise (no code). Learners as a team explore Retrieval Augmented Generation (RAG) and agent-based systems, applying AI to real-world agile practices while considering technical design, evaluation, and cost-aware decision-making
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