Generative artificial intelligence: University student awareness, experience, and confidence in use across disciplines

生成语法 关系(数据库) 心理学 比例(比率) 自信 数学教育 人工智能 计算机科学 社会心理学 地理 地图学 数据库
作者
Andrew Kelly,Miriam Sullivan,Katrina Strampel
出处
期刊:Journal of university teaching and learning practice [University of Wollongong]
卷期号:20 (6) 被引量:128
标识
DOI:10.53761/1.20.6.12
摘要

The global higher education sector has been significantly disrupted by the proliferation of generative artificial intelligence tools such as ChatGPT, especially in relation to its implications for assessment. However, few studies to date have explored student perspectives on these tools. This article reports on one of the first large-scale quantitative studies of student views on generative artificial intelligence at an Australian university (n = 1,135). When the survey was conducted, most students had low knowledge, experience, and confidence in using these tools. These results varied across disciplines and across some student sub-groups, such as mature-age students and international students. Confidence appeared to increase with experience, although the data also revealed a portion of students that have never used these tools yet still felt confident in using them. In exploring these results, this article aims to shed new light on this fast-evolving landscape and inform the future direction of supporting students to engage with generative artificial intelligence tools appropriately.

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