{"title":"Teaching measurement science and technology in the times of pervasive AI","authors":"Roman Z. Morawski","doi":"10.1016/j.measen.2024.101315","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"38 ","pages":"Article 101315"},"PeriodicalIF":0.0000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement Sensors","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2665917424002915","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
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.