ChatGPT and AI in the Universities: An Introduction to the Near Future

Author:

Rezaev A. V.1ORCID,Tregubova N. D.1ORCID

Affiliation:

1. St. Petersburg State University

Abstract

The paper aims to present the theoretical and methodological foundations for developing and implementing artificial intelligence (AI) instruments in higher education within the HumanCentered AI framework and considers ChatGPT as a specific case. It is oriented toward critically analyzing scholarly literature from various disciplines to support a-disciplinary approach to utilizing AI research in higher education. The authors begin by outlining the foundations of the research, then by analyzing the implications of the “lessons” of the COVID-19 pandemic for the development of higher education in the age of AI. This is followed by an analysis of technologies such as ChatGPT that have the potential to radically change higher education in the near future. After that, the authors move on to general remarks about the prospects and challenges of using AI technologies in higher education. The relevance of the research is characterized by the analysis of the latest developments in the field of AI and their possible impact on higher education. The main results of the paper are characteristics of areas in which AI technologies can be implemented in higher education – accreditation and licensing of universities, student recruitment, teaching and learning – as well as areas in which AI technologies should not be used. In conclusion, two hypotheses are formulated, and three general and five specific conclusions about the use of AI technologies in higher education are made. 

Publisher

Moscow Polytechnic University

Subject

Sociology and Political Science,Education,Philosophy

Reference43 articles.

1. Lebedev, O. (1992). [The Inevitability of Reforming Higher Education in the Transition to a Market]. Vysshee obrazovanie v Rossii = Higher education in Russia. No. 1, pp. 76-79. (In Russ.).

2. Yudin, V.K. (1994). [The Role and Place of the University in the System of Market Relations]. Vysshee obrazovanie v Rossii = Higher education in Russia. No. 1, pp. 96-107. (In Russ.).

3. Grebnev, L.S. (2004). [Higher Education in the Bologna Dimension: Characteristics and Limitations in Russia]. Vysshee obrazovanie v Rossii = Higher education in Russia. No. 1, pp. 36-42. Available at: https://elibrary.ru/item.asp?id=9573531 (accessed 31.03.2023). (In Russ.).

4. Nikolsky, V.S. (2005). [Trends of Bologna Process]. Vysshee obrazovanie v Rossii = Higher education in Russia. No. 10, pp. 156-170. Available at: https://elibrary.ru/item.asp?id=9574033 (accessed 31.03.2023). (In Russ.).

5. Rezaev, A.V. (2010). Bologna Process: On the Way to a Common European Higher Education Area. International Encyclopedia of Education. Pp. 772-778, doi: 10.1016/B978-0-08-044894- 7.00169-X

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3