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| Main Authors: | , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.10134 |
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| _version_ | 1866917895117733888 |
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| author | Kaushik, Abhishek Yadav, Sargam Browne, Andrew Lillis, David Williams, David Donnell, Jack Mc Grant, Peadar Kernan, Siobhan Connolly Sharma, Shubham Arora, Mansi |
| author_facet | Kaushik, Abhishek Yadav, Sargam Browne, Andrew Lillis, David Williams, David Donnell, Jack Mc Grant, Peadar Kernan, Siobhan Connolly Sharma, Shubham Arora, Mansi |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_10134 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Exploring the Impact of Generative Artificial Intelligence in Education: A Thematic Analysis Kaushik, Abhishek Yadav, Sargam Browne, Andrew Lillis, David Williams, David Donnell, Jack Mc Grant, Peadar Kernan, Siobhan Connolly Sharma, Shubham Arora, Mansi Artificial Intelligence Human-Computer Interaction Machine Learning 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. |
| title | Exploring the Impact of Generative Artificial Intelligence in Education: A Thematic Analysis |
| topic | Artificial Intelligence Human-Computer Interaction Machine Learning |
| url | https://arxiv.org/abs/2501.10134 |