ChatGPT and AI in the Universities: An Introduction to the Near Future
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 l...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Moscow Polytechnic University
2023-07-01
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| Series: | Высшее образование в России |
| Subjects: | |
| Online Access: | https://vovr.elpub.ru/jour/article/view/4450 |
| _version_ | 1826578035721109504 |
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| author | A. V. Rezaev N. D. Tregubova |
| author_facet | A. V. Rezaev N. D. Tregubova |
| author_sort | A. V. Rezaev |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T05:37:09Z |
| format | Article |
| id | doaj.art-bd995720dee64067b5dafd8c1c02e3d2 |
| institution | Directory Open Access Journal |
| issn | 0869-3617 2072-0459 |
| language | English |
| last_indexed | 2025-03-14T13:55:59Z |
| publishDate | 2023-07-01 |
| publisher | Moscow Polytechnic University |
| record_format | Article |
| series | Высшее образование в России |
| spelling | doaj.art-bd995720dee64067b5dafd8c1c02e3d22025-02-27T06:26:31ZengMoscow Polytechnic UniversityВысшее образование в России0869-36172072-04592023-07-01326193710.31992/0869-3617-2023-32-6-19-372389ChatGPT and AI in the Universities: An Introduction to the Near FutureA. V. Rezaev0N. D. Tregubova1St. Petersburg State UniversitySt. Petersburg State UniversityThe 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.https://vovr.elpub.ru/jour/article/view/4450higher educationartificial intelligencechatgpthuman-centered artificial intelligenceai language modelsdigital transformation |
| spellingShingle | A. V. Rezaev N. D. Tregubova ChatGPT and AI in the Universities: An Introduction to the Near Future Высшее образование в России higher education artificial intelligence chatgpt human-centered artificial intelligence ai language models digital transformation |
| title | ChatGPT and AI in the Universities: An Introduction to the Near Future |
| title_full | ChatGPT and AI in the Universities: An Introduction to the Near Future |
| title_fullStr | ChatGPT and AI in the Universities: An Introduction to the Near Future |
| title_full_unstemmed | ChatGPT and AI in the Universities: An Introduction to the Near Future |
| title_short | ChatGPT and AI in the Universities: An Introduction to the Near Future |
| title_sort | chatgpt and ai in the universities an introduction to the near future |
| topic | higher education artificial intelligence chatgpt human-centered artificial intelligence ai language models digital transformation |
| url | https://vovr.elpub.ru/jour/article/view/4450 |
| work_keys_str_mv | AT avrezaev chatgptandaiintheuniversitiesanintroductiontothenearfuture AT ndtregubova chatgptandaiintheuniversitiesanintroductiontothenearfuture |