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Autores principales: Watterson, Steven, Atkinson, Sarah, Murray, Elaine, McDowell, Andrew
Formato: Preprint
Publicado: 2025
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Acceso en línea:https://arxiv.org/abs/2509.13899
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author Watterson, Steven
Atkinson, Sarah
Murray, Elaine
McDowell, Andrew
author_facet Watterson, Steven
Atkinson, Sarah
Murray, Elaine
McDowell, Andrew
contents The arrival of AI tools and in particular Large Language Models (LLMs) has had a transformative impact on teaching and learning and institutes are still trying to determine how to integrate LLMs into education in constructive ways. Here, we explore the adoption of LLM-based tools into two teaching programmes, one undergraduate and one postgraduate. We provided to our classes (1) a LLM-powered chatbot that had access to course materials by RAG and (2) AI-generated audio-only podcasts for each week$\text{'}$s teaching material. At the end of the semester, we surveyed the classes to gauge attitudes towards these tools. The classes were small and from biological courses. The students felt positive about AI generally and that AI tools made a positive impact on teaching. Students found the LLM-powered chatbot easy and enjoyable to use and felt that it enhanced their learning. The podcasts were less popular and only a small proportion of the class listened weekly. The class as a whole was indifferent to whether the podcasts should be used more widely across courses, but those who listened enjoyed them and were in favour.
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id arxiv_https___arxiv_org_abs_2509_13899
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle AI as a teaching tool and learning partner
Watterson, Steven
Atkinson, Sarah
Murray, Elaine
McDowell, Andrew
Human-Computer Interaction
The arrival of AI tools and in particular Large Language Models (LLMs) has had a transformative impact on teaching and learning and institutes are still trying to determine how to integrate LLMs into education in constructive ways. Here, we explore the adoption of LLM-based tools into two teaching programmes, one undergraduate and one postgraduate. We provided to our classes (1) a LLM-powered chatbot that had access to course materials by RAG and (2) AI-generated audio-only podcasts for each week$\text{'}$s teaching material. At the end of the semester, we surveyed the classes to gauge attitudes towards these tools. The classes were small and from biological courses. The students felt positive about AI generally and that AI tools made a positive impact on teaching. Students found the LLM-powered chatbot easy and enjoyable to use and felt that it enhanced their learning. The podcasts were less popular and only a small proportion of the class listened weekly. The class as a whole was indifferent to whether the podcasts should be used more widely across courses, but those who listened enjoyed them and were in favour.
title AI as a teaching tool and learning partner
topic Human-Computer Interaction
url https://arxiv.org/abs/2509.13899