Positioning large language model artificial intelligence tools within discourse analysis: opportunities, challenges and ethical considerations
Anand, Pranit, Li, Dongmei, Keen, Joel, and Henrickson, Leah (2023) Positioning large language model artificial intelligence tools within discourse analysis: opportunities, challenges and ethical considerations. In: ASCILITE 2023 Conference Companion Materials. From: ASCILITE 2023: 40th International Conference on Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education, 3-6 December 2023, Christchurch, New Zealand.
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Abstract
Artificial Intelligence (AI) tools based on Large Language Models (LLMs) such as ChatGPT has generated significant interested within the higher education sector. The threats, challenges and opportunities for its use in teaching and learning continue to be discussed widely, however it’s use within research and especially research involving marginalised perspectives is far less discussed. This panel will share how ChatGPT was used to add value to the conversations between researchers applying critical discourse analysis exploring Indigenous Australian perspectives with international students. As part of their study the researchers compared the efficacy of ChaptGPT and NVIVIO and the impacts on iterative discourse discussions between the researchers. While the data in this research revealed some very encouraging results, it also highlighted significant areas that need to be explored even further especially around ethical use of AI and untangling inbuilt biases within the tools’ algorithms.
Item ID: | 87636 |
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Item Type: | Conference Item (Presentation) |
Copyright Information: | his work is licensed under a Creative Commons Attribution 4.0 International License. |
Date Deposited: | 03 Sep 2025 01:02 |
FoR Codes: | 39 EDUCATION > 3903 Education systems > 390303 Higher education @ 100% |
SEO Codes: | 16 EDUCATION AND TRAINING > 1699 Other education and training > 169999 Other education and training not elsewhere classified @ 100% |
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