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Why Students Leave: Findings from Qualitative Research into Student Non-Completion in Higher Education in Ireland
This project reports on a systematic survey of existing qualitative data on student non-completion gathered by 16 Irish higher education institutions, including Universities, Institutes of Technology and HECA Colleges. The findings of the current qualitative study identified five core themes which are significant in terms of student non-completion: course, personal, financial, medical/health and family. Of these five, course was the strongest influencing factor. Importantly the study calls for a more positive interpretation of non-completion as part of the wider context of students’ career and programme plans. It also suggests that developing systematic and standardised institutional approaches to qualitative data gathering on students who leave will help enhance institutional and policy responses for the future. This study also helps to inform the forthcoming HEA Report 2015 A Study of Progression in Irish Higher Education Institutions 2012/13 2013/14, a quantitative analysis.
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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.
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.
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