Exploring the Use of Generative AI in Computer Science Education in a Technological University in Ireland

This research explores the current use of generative artificial intelligence (GenAI) tools in higher education, with a specific focus on their applicability to computer science education. The author draws upon Rogers’ Diffusion of Innovation Theory (DIT) as its theoretical framework and includes a survey of 24 computer science lectures at an Irish Technological University (TU). The literature shows that while the adoption of GenAI is not significantly problematic in practical terms, it has several uses and advantages over traditional practices, and it can be applicable to all teaching, learning, and assessment by faculty. However, GenAI has not been as widely adopted as the discourse suggests. The results of this research show that the inconsistency in GenAI’s performance affects its overall trustworthiness and reliability. This finding offers more depth and understanding as to why computer science faculty are not fully embracing GenAI. As the educational landscape evolves in response to advancements in GenAI technology, it is imperative to scrutinise the multifaceted and potentially long-lasting implications arising from the incorporation of GenAI in academic practice. The educational significance of this research lies in its ability to present an informed view of the current use of GenAI in a Technological University in Ireland.

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Publication Details

Journal
European Journal of Open Distance and E-Learning
Published
2025-02-26
DOI
https://doi.org/10.2478/eurodl-2025-0004
Citations
1
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
1.69
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article

Exploring the Use of Generative AI in Computer Science Education in a Technological University in Ireland

Michael Gleeson
1 citations
European Journal of Open Distance and E-Learning
Online Learning and Analytics
1.69
article

Exploring the Use of Generative AI in Computer Science Education in a Technological University in Ireland

Michael Gleeson
article en
1 citations

Abstract

This research explores the current use of generative artificial intelligence (GenAI) tools in higher education, with a specific focus on their applicability to computer science education. The author draws upon Rogers’ Diffusion of Innovation Theory (DIT) as its theoretical framework and includes a survey of 24 computer science lectures at an Irish Technological University (TU). The literature shows that while the adoption of GenAI is not significantly problematic in practical terms, it has several uses and advantages over traditional practices, and it can be applicable to all teaching, learning, and assessment by faculty. However, GenAI has not been as widely adopted as the discourse suggests. The results of this research show that the inconsistency in GenAI’s performance affects its overall trustworthiness and reliability. This finding offers more depth and understanding as to why computer science faculty are not fully embracing GenAI. As the educational landscape evolves in response to advancements in GenAI technology, it is imperative to scrutinise the multifaceted and potentially long-lasting implications arising from the incorporation of GenAI in academic practice. The educational significance of this research lies in its ability to present an informed view of the current use of GenAI in a Technological University in Ireland.

European Journal of Open Distance and E-LearningVol. 26(S1)
South East Technological University (IE), Institute of Technology Carlow (IE)
Openalex Percentile: Top 15%
Online Learning and Analytics
1.69
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