Teaching measurement science and technology in the times of pervasive AI

Q4 Engineering
Roman Z. Morawski
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引用次数: 0

Abstract

The aim of this article is to encourage its readers to modernise their approach to teaching measurement science and technology (MS&T) in a way as to meet the challenges resulting from the broad availability of the tools of artificial intelligence (AI), in particular: to profit from new technological opportunities, and to respond to the needs of our civilisation, identified within a deeper reflection over its development. First, the state of the art in applications of AI in MS&T is briefly characterised, as well as the state of the art in applications of AI in higher education. Next, a methodology for using AI tools in MS&T, referring to the author's meta-model of measurement, is proposed. Finally, some concluding remarks, concerning various aspects of MS&T education, are presented.
普及人工智能时代的教学测量科学与技术
本文的目的是鼓励读者将测量科学与技术(MS&;T)教学方法现代化,以应对人工智能(AI)工具的广泛可用性所带来的挑战,特别是:从新的技术机会中获利,并响应我们文明的需求,在对其发展的更深层次反思中确定。首先,简要介绍了人工智能在麻省理工学院的应用现状,以及人工智能在高等教育中的应用现状。接下来,提出了一种在MS&;T中使用人工智能工具的方法,参考了作者的测量元模型。最后,对科技教育的各个方面进行了总结。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Measurement Sensors
Measurement Sensors Engineering-Industrial and Manufacturing Engineering
CiteScore
3.10
自引率
0.00%
发文量
184
审稿时长
56 days
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