转化式学习
高等教育
关系(数据库)
过程(计算)
社会学
工作(物理)
空格(标点符号)
教育学
工程伦理学
心理学
计算机科学
政治学
工程类
机械工程
数据库
法学
操作系统
作者
Neil Kramm,Sioux McKenna
标识
DOI:10.1080/13562517.2023.2263839
摘要
ABSTRACTThe dominant response within higher education to the emergence of free online text- and graphic-generating software has been a concern with identifying AI usage in students' work. We argue that this is both a waste of time and neglects our educational responsibilities. A police-catch-punish approach to AI, as with the use of this process in relation to plagiarism, ignores the broader purposes of higher education. If higher education is understood as being a space for nurturing transformative relationships with knowledge, AI can be harnessed to enhance learning experiences. Such an approach would also enable a critical understanding of the limitations and ethical deliberations around AI usage. Those critical academics who emphasise transformative learning over surveillance-driven approaches are likely to foster more meaningful higher education experiences.KEYWORDS: Artificial intelligencesurveillancetrustknowledge constructionpurpose of higher education Disclosure statementNo potential conflict of interest was reported by the author(s).
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