{"title":"Exploring the intersection of artificial intelligence and higher education: opportunities and challenges in the context of geomatics education","authors":"Guenther Retscher","doi":"10.1007/s12518-024-00602-6","DOIUrl":null,"url":null,"abstract":"<div><p>In an era of rapid technological advances, artificial intelligence (AI) is becoming increasingly important in higher education. The use of AI tools presents both great potential and significant challenges, especially with regard to examinations and performance assessments. This paper provides a compact insight into the current state of development on AI in university education. Experiences are shared including questions and concerns about AI in higher education teaching. The role of AI in higher education is explored, focusing on its potential benefits and challenges, particularly in examinations and performance assessments. It provides insights into the current state of AI development in universities, highlighting its diverse applications and the associated ethical and practical considerations. Experiences and perspectives from educators are shared, reflecting both optimism about AI’s ability to enhance learning outcomes and concerns regarding fairness, transparency, and privacy. The paper emphasizes the need for responsible integration of AI in higher education in engineering disciplines, such as geomatics, balancing innovation with ethical considerations to promote equity and excellence in teaching and learning.</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":"17 1","pages":"49 - 61"},"PeriodicalIF":2.3000,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12518-024-00602-6.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Geomatics","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s12518-024-00602-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"REMOTE SENSING","Score":null,"Total":0}
引用次数: 0
Abstract
In an era of rapid technological advances, artificial intelligence (AI) is becoming increasingly important in higher education. The use of AI tools presents both great potential and significant challenges, especially with regard to examinations and performance assessments. This paper provides a compact insight into the current state of development on AI in university education. Experiences are shared including questions and concerns about AI in higher education teaching. The role of AI in higher education is explored, focusing on its potential benefits and challenges, particularly in examinations and performance assessments. It provides insights into the current state of AI development in universities, highlighting its diverse applications and the associated ethical and practical considerations. Experiences and perspectives from educators are shared, reflecting both optimism about AI’s ability to enhance learning outcomes and concerns regarding fairness, transparency, and privacy. The paper emphasizes the need for responsible integration of AI in higher education in engineering disciplines, such as geomatics, balancing innovation with ethical considerations to promote equity and excellence in teaching and learning.
期刊介绍:
Applied Geomatics (AGMJ) is the official journal of SIFET the Italian Society of Photogrammetry and Topography and covers all aspects and information on scientific and technical advances in the geomatics sciences. The Journal publishes innovative contributions in geomatics applications ranging from the integration of instruments, methodologies and technologies and their use in the environmental sciences, engineering and other natural sciences.
The areas of interest include many research fields such as: remote sensing, close range and videometric photogrammetry, image analysis, digital mapping, land and geographic information systems, geographic information science, integrated geodesy, spatial data analysis, heritage recording; network adjustment and numerical processes. Furthermore, Applied Geomatics is open to articles from all areas of deformation measurements and analysis, structural engineering, mechanical engineering and all trends in earth and planetary survey science and space technology. The Journal also contains notices of conferences and international workshops, industry news, and information on new products. It provides a useful forum for professional and academic scientists involved in geomatics science and technology.
Information on Open Research Funding and Support may be found here: https://www.springernature.com/gp/open-research/institutional-agreements