Further education teachers adaptation to the introduction of AI in a UDL-empowered environment

Carstairs, Michael (2024) Further education teachers adaptation to the introduction of AI in a UDL-empowered environment. Masters thesis, Dublin, National College of Ireland.

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Abstract

This study aims to explore how teachers in further education are adapting to the introduction of generative AI in their practice. Generative AI has quickly become a topic of discussion within academic circles. Focusing on generative AI’s ability to relieve time pressures (Lameras, 2022) while others focus on the academic integrity issues that can arise (Pearce, 2024; Vashista et al., 2023). It has been proven that teachers can not reliably ascertain if work is created by AI or students (Fleckenstein et al., 2024). Exploring the use of generative AI in a teacher's practice is of paramount importance, as is evaluating ways in which generative AI can be used to enhance learning and implementing the new tool in a new and meaningful way. This study is conducted as a cross-sectional study following a qualitative IPA approach outlined by Smith et al. (2022). Data was collected through a semi-structured interview process with five participants. All participants participated voluntarily through interviews conducted online using the Teams software with auto transcription. Transcriptions were analysed in line with Smith et al. (2022) guidelines. Generative AI has been developing as a tool throughout the last few years, and so has the teacher's implementation of such. While the blanket use of generative AI is not recommended, the use of generative AI as an active roleplaying participant or feedback agent within the classroom with the teacher's guidance demonstrated a strong link between generative AI and creating engaging classroom activities. CPD in the area of generative AI is highlighted with teacher recommendations on how best to approach CPD.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Goldrick, Michael UNSPECIFIED
Subjects:	L Education > L Education (General) L Education > LB Theory and practice of education Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence B Philosophy. Psychology. Religion > BJ Ethics > Conduct of life > Reliability > Information integrity
Divisions:	Centre for Education and Lifelong Learning > Master of Arts in Educational Practice
Depositing User:	Tamara Malone
Date Deposited:	26 Nov 2024 14:31
Last Modified:	26 Nov 2024 14:31
URI:	https://norma.ncirl.ie/id/eprint/7200

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