高等教育中的人工智能:一项纵向研究的研究笔记

IF 12.9 1区 管理学 Q1 BUSINESS
Higor Leite
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引用次数: 0

摘要

生成式人工智能(GenAI)已经颠覆了传统的教育方法。学生们正在使用GenAI工具来访问和创建新内容。然而,GenAI在高等教育中的出现也带来了一些警告,学者和大学管理人员正在学习如何驾驭这一未知领域。GenAI被视为一把双刃剑,它有一些好处,比如创新和生产力,但也有道德和学术不端行为方面的缺点。因此,我们的研究旨在了解随着学生进入一个新的人工智能增强的就业市场,GenAI对学生在高等教育生态系统中的经历的影响。这篇研究报告介绍了一项为期12个月的纵向研究的初步结果,研究对象是与GenAI互动的学生。我们进行了35次半结构化访谈并收集了私人日记条目(n = 108)。我们的研究结果显示了六个有意义的主题:利用人工智能提高学习成绩、人工智能伦理和信任对学习的影响、人工智能作为人类工作的补充、人工智能工具的集成和多功能性、平衡人工智能的局限性以及引导人工智能的采用之旅。本研究亦运用转型服务研究的视角,呈现GenAI对高等教育的转型影响。为了对实践和决策者做出贡献,我们设计了一个研究议程,为未来关于GenAI的研究提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial intelligence in higher education: Research notes from a longitudinal study
Generative artificial intelligence (GenAI) has disrupted traditional educational approaches. Students are applying GenAI tools to access and create new content. However, the emergence of GenAI in higher education comes with caveats and academics and university administrators are learning to navigate this uncharted territory. GenAI is treated as a double-edged sword, with several benefits, such as innovation and productivity, but also drawbacks regarding ethics and academic misconduct. Therefore, our study aims to understand the impact of GenAI on students' experiences in the higher education ecosystem as students move to a new AI-enhanced job market. This research note article presents preliminary results from a 12-month longitudinal study with students interacting with GenAI. We conducted 35 semi-structured interviews and collected private diary entries (n = 108). Our results show six meaningful themes: Harnessing AI for Enhanced Academic Performance, AI Ethics and Trust Impact on Learning, GenAI as a Supplement to Human Work, Integration and Versatility of GenAI Tools, Balancing GenAI Limitations, and Navigating the AI Adoption Journey. The study also uses the transformative service research lens to present the transformative impact of GenAI in higher education. To contribute to practice and policymakers, we designed a research agenda to inform future studies on GenAI.
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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