在话语分析中定位大型语言模型人工智能工具

Pranit Anand, Dongmei Li, Joel Keen, Leah Henrickson
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引用次数: 0

摘要

基于大型语言模型(LLM)的人工智能(AI)工具(如 ChatGPT)在高等教育领域引起了极大的兴趣。人们一直在广泛讨论人工智能在教学中的应用所面临的威胁、挑战和机遇,但对于它在研究中的应用,尤其是涉及边缘化观点的研究,讨论却少得多。本小组将分享如何利用 ChatGPT 为研究人员之间的对话增添价值,研究人员运用批判性话语分析探讨了澳大利亚土著居民与留学生之间的观点。作为研究的一部分,研究人员比较了 ChaptGPT 和 NVIVIO 的功效以及对研究人员之间迭代话语讨论的影响。虽然这项研究的数据揭示了一些非常令人鼓舞的结果,但同时也强调了需要进一步探索的重要领域,尤其是在人工智能的道德使用和消除工具算法中的内在偏见方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Positioning large language model artificial intelligence tools within discourse analysis
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 in-built biases within the tools’ algorithms.
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