Exploring the Impact of Generative Artificial Intelligence in Education: A Thematic Analysis

Abhishek Kaushik, Sargam Yadav, Andrew Browne, David Lillis, David Williams +5 more
1/17/2025
cs.AIcs.HCcs.LG

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Abstract

The recent advancements in Generative Artificial intelligence (GenAI) technology have been transformative for the field of education. Large Language Models (LLMs) such as ChatGPT and Bard can be leveraged to automate boilerplate tasks, create content for personalised teaching, and handle repetitive tasks to allow more time for creative thinking. However, it is important to develop guidelines, policies, and assessment methods in the education sector to ensure the responsible integration of these tools. In this article, thematic analysis has been performed on seven essays obtained from professionals in the education sector to understand the advantages and pitfalls of using GenAI models such as ChatGPT and Bard in education. Exploratory Data Analysis (EDA) has been performed on the essays to extract further insights from the text. The study found several themes which highlight benefits and drawbacks of GenAI tools, as well as suggestions to overcome these limitations and ensure that students are using these tools in a responsible and ethical manner.

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Cite this paper

@article{kaushik2025exploring,
  title  = {Exploring the Impact of Generative Artificial Intelligence in Education: A Thematic Analysis},
  author = {Abhishek Kaushik and Sargam Yadav and Andrew Browne and David Lillis and David Williams and Jack Mc Donnell and Peadar Grant and Siobhan Connolly Kernan and Shubham Sharma and Mansi Arora},
  year   = {2025},
  eprint = {2501.10134},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2501.10134v1}
}

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