普及人工智能时代的教学测量科学与技术

Q4 Engineering

Measurement Sensors Pub Date : 2025-05-01 DOI:10.1016/j.measen.2024.101315

Roman Z. Morawski

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引用次数: 0

摘要

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。

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Teaching measurement science and technology in the times of pervasive AI

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.

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