Emerging Dynamics of ChatGPT in Academia: A Scoping Review

IF 2 Q2 EDUCATION & EDUCATIONAL RESEARCH

Journal of University Teaching and Learning Practice Pub Date : 2024-03-12 DOI:10.53761/b182ws13

Mehul Mahrishi, Asad Abbas, Danica Radovanović

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引用次数: 0

Abstract

Large Language Models (LLMs) and Generative AI tools are revolutionising every aspect of academia, including medical, physical, and STEM education. They have also proved their mettle in blended learning systems and distance learning programs by improving educational sustainability, accessibility, and engagement. Through this scoping review, we aim to provide an essential overview of the state of the art of ChatGPT from the standpoint of exploring its development, analysing its current trajectory, and emerging dynamics in active research responsible for defining regulations and protocols. The PRISMA benchmarking was used on the Scopus dataset, with 109 papers from 2022 to 2023. Interactive results and bibliographic maps are generated using the Bibliometrix library of R-Studio. The findings are aligned with the research questions and represent exceptional growth in scientific production. Furthermore, relevant avenues for research publications, leading countries, and institutions in the area are also listed. The thematic and trends analysis anticipated that artificial intelligence and generative AI will substantially influence nearly every dimension in the coming years. The review also identified the possible advantages and disadvantages of adopting ChatGPT in higher education and analysed its deployment, considering ethical issues. The research concludes that, apart from ChatGPT, other large language models are also transforming artificial intelligence in education. However, ethical concerns and implications in education highlight vital issues for further research to ensure AI's responsible and ethical use.

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学术界新出现的 ChatGPT 动态：范围审查

大型语言模型（LLM）和生成式人工智能工具正在彻底改变学术界的方方面面，包括医学、物理和 STEM 教育。在混合式学习系统和远程学习项目中，它们也通过提高教育的可持续性、可及性和参与度证明了自己的能力。通过本范围综述，我们旨在从探索 ChatGPT 的发展、分析其当前轨迹以及负责定义法规和协议的积极研究中出现的动态等角度，对 ChatGPT 的技术现状进行基本概述。在 Scopus 数据集上使用了 PRISMA 基准，其中有 109 篇 2022 年至 2023 年的论文。使用 R-Studio 的 Bibliometrix 库生成了互动结果和书目地图。研究结果与研究问题相吻合，代表了科研成果的显著增长。此外，还列出了该领域的相关研究出版物途径、主要国家和机构。专题和趋势分析预计，人工智能和生成式人工智能将在未来几年对几乎所有领域产生重大影响。审查还确定了在高等教育中采用 ChatGPT 的可能利弊，并分析了其部署情况，同时考虑到了伦理问题。研究得出结论，除了 ChatGPT，其他大型语言模型也正在改变教育领域的人工智能。然而，教育领域的伦理问题和影响突出了需要进一步研究的重要问题，以确保人工智能得到负责任和合乎伦理的使用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of University Teaching and Learning Practice EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

3.60

自引率

18.80%

发文量

期刊介绍： The Journal of University Teaching and Learning Practice aims to add significantly to the body of knowledge describing effective and innovative teaching and learning practice in higher education.The Journal is a forum for educational practitioners across a wide range of disciplines. Its purpose is to facilitate the communication of teaching and learning outcomes in a scholarly way, bridging the gap between journals covering purely academic research and articles and opinions published without peer review.