分析生成式人工智能对艺术教育的影响:高等教育中教育工作者和学生的跨学科视角

IF 3.4 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Sara Sáez-Velasco, Mario Alaguero-Rodríguez, V. Delgado-Benito, S. Rodríguez-Cano
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引用次数: 0

摘要

生成式人工智能(Generative AI)特指一类利用现有数据创建新内容的人工智能模型,这些新内容反映了真实世界数据的基本模式。这篇论文介绍了一项研究,旨在说明艺术教育工作者和艺术教育学生目前对生成式人工智能的看法。这是一项定性研究,使用焦点小组作为数据收集技术,以了解参与对象的总体情况。研究设计包括两个阶段:(1) 由学生、专业人员和生成式人工智能工具根据提示生成插图;(2) 与艺术教育学生(5 人)和教育工作者(5 人)进行焦点小组讨论。总的来说,教育工作者和学生都认为生成式人工智能作为支持插图生成的工具非常有用。不过,他们都认为人工智能生成器无法取代人的因素。根据所获得的结果,我们可以得出结论,生成式人工智能可以作为艺术教育的一种激励性教育策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysing the Impact of Generative AI in Arts Education: A Cross-Disciplinary Perspective of Educators and Students in Higher Education
Generative AI refers specifically to a class of Artificial Intelligence models that use existing data to create new content that reflects the underlying patterns of real-world data. This contribution presents a study that aims to show what the current perception of arts educators and students of arts education is with regard to generative Artificial Intelligence. It is a qualitative research study using focus groups as a data collection technique in order to obtain an overview of the participating subjects. The research design consists of two phases: (1) generation of illustrations from prompts by students, professionals and a generative AI tool; and (2) focus groups with students (N = 5) and educators (N = 5) of artistic education. In general, the perception of educators and students coincides in the usefulness of generative AI as a tool to support the generation of illustrations. However, they agree that the human factor cannot be replaced by generative AI. The results obtained allow us to conclude that generative AI can be used as a motivating educational strategy for arts education.
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来源期刊
Informatics
Informatics Social Sciences-Communication
CiteScore
6.60
自引率
6.50%
发文量
88
审稿时长
6 weeks
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