Evaluating the Influence of Artificial Intelligence on Scholarly Research: A Study Focused on Academics

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY Human Behavior and Emerging Technologies Pub Date : 2024-04-29 DOI:10.1155/2024/8713718
Tosin Ekundayo, Zafarullah Khan, Sabiha Nuzhat
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Abstract

This study is aimed at exploring the impact of artificial intelligence (AI) on academic research by conducting a focus group research strategy. The focus group consists of individuals who are actively involved in academic research and have experience working with AI technologies. The purpose of the focus group is to gather in-depth insights into how AI has influenced research methodologies, findings, and overall knowledge creation. The study will begin by identifying seven participants through purposive sampling, with an aim of recruiting a diverse group of individuals from various academic disciplines. Purposive sampling, also known as selective sampling, enhances the study’s validity by ensuring that the sample consists of individuals with a high level of expertise in the subject matter. Seven is large enough to generate a diverse range of perspectives and experiences and small enough to ensure that every participating academic researcher has a chance to contribute to the conversation. The focus group is conducted using a Zoom video conferencing to gather academics from different institutions across the world. It also eliminates distance issue required for conducting an in-person session. This provides opportunity to cover a wide array research specialization representation. Data analysis is conducted using a thematic analysis approach, with a focus on identifying key themes and patterns that emerge from the data. The findings of this study contribute to a better understanding of the impact of AI on academic research and provide insights into the potential future direction of AI in academic research. While the study is aimed at providing practical recommendations for researchers who are interested in incorporating AI into their research practices, it also ignites the conversation on future incorporation of technologies into academic research activity.

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评估人工智能对学术研究的影响:以学术界为重点的研究
本研究旨在通过焦点小组研究策略,探讨人工智能(AI)对学术研究的影响。焦点小组由积极参与学术研究并拥有人工智能技术工作经验的个人组成。焦点小组的目的是收集有关人工智能如何影响研究方法、研究成果和整体知识创造的深入见解。本研究将首先通过目的性抽样确定七名参与者,目的是招募来自不同学术学科的多样化群体。目的性抽样也被称为选择性抽样,通过确保样本由在该主题领域具有高水平专业知识的个人组成,从而提高研究的有效性。七个小组的规模足够大,可以产生各种不同的观点和经验,而规模又足够小,以确保每个参与的学术研究人员都有机会为对话做出贡献。焦点小组采用 Zoom 视频会议的方式,聚集了来自世界各地不同机构的学者。这也消除了进行面对面会议所需的距离问题。这为涵盖广泛的研究专业代表提供了机会。数据分析采用主题分析法进行,重点是确定数据中出现的关键主题和模式。本研究的结果有助于更好地理解人工智能对学术研究的影响,并为人工智能在学术研究中的潜在未来发展方向提供见解。本研究旨在为有意将人工智能纳入其研究实践的研究人员提供实用建议,同时也引发了关于未来将技术纳入学术研究活动的讨论。
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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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