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Vysshee Obrazovanie v Rossii = Higher Education in Russia

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ChatGPT in Higher Education and Science: a Threat or a Valuable Resource?

https://doi.org/10.31992/0869-3617-2023-32-4-9-22

Abstract

The purpose of the article is to draw the attention of the authors and readers of the journal to the problem of using artificial intelligence in higher education and science. The article consists of two interrelated parts. In the first part, authors of the article discuss the case of using ChatGPT for graduate writing in terms of implications for higher education. In the second part, the authors turn to the reaction of the academic community to the emergence of generative artificial intelligence and consider its shortcomings and opportunities for education and science. In conclusion, authors of the present work invite readers to an academic discussion about artificial intelligence in higher education and science on the pages of our journal.

About the Authors

E. N. Ivakhnenko
Lomonosov Moscow State University
Russian Federation

Evgeniy N. Ivakhnenko – Dr. Sci. (Philosophy), Prof., 

27, Lomonosovsky ave., Moscow, 119991



V. S. Nikolskiy
Moscow State Polytechnic University
Russian Federation

Vladimir S. Nikolskiy – Dr. Sci. (Philosophy), Prof., Chief Editor of the Journal of “Higher Education in Russia”

38, B. Semenovskaya str., Moscow, 107023



References

1. Gibson, J. (1988). Ekologicheskij podhod k zritel’nomu vospriyatiyu [Ecological Approach to Visual Perception]. Moscow: Progress, 464 p. ISBN: 5-01-001049-6. (In Russ.).

2. DeLanda, М. (2018). Novaya filosofiya obshchestva: Teoriya assamblyazhej i social’naya slozhnost’ [A New Philosophy of Society: Assemblage Theory and Social Complexity]. Perm’: HylePress Publ, 170 p. (In Russ.).

3. Arshinov, V.I., Svirskij, Ya.I. (2019). Koe-chto o slozhnostnosti. Morin E. O Slozhnostnosti [On Complexity]. Moscow: Institut obshchegumanitarnyh issledovanij, 275 p. (In Russ.).

4. Zittrain, J. (2006). The Generative Internet. Harvard Law Review. Vol. 119, p. 70, doi: 10.1145/1435417.1435426

5. Van der Tuin, I. (2020). How Eva Louise Young (1861–1939) Found Me. On the Performance of Metadata in Knowledge Production. Situating Data. Inquiries in Algorithmic Culture. Amsterdam: Amsterdam University Press, pр. 189–206, doi: 10.5117/9789463722971

6. Bart, R. (1994). Izbrannye raboty: Semiotika. Poetika. Moscow, pp. 384-391. (In Russ.).

7. Thorp, H. (2023). ChatGPT is fun, but not an author. Science. Vol. 379, no. 6630, p. 313, doi: 10.1126/science.adg7879

8. Frye, B.L. (2022). Should Using an AI Text Generator to Produce Academic Writing Be Plagiarism? Fordham Intellectual Property, Media & Entertainment Law Journal, Forthcoming. Available at SSRN: https://ssrn.com/abstract=4292283 (accessed 04.03.2023).

9. King, М. (2023). A Conversation on Artificial Intelligence, Chatbots, and Plagiarism in Higher Education. Cellular and Molecular Bioengineering. Vol. 16, no. 1, pp. 1-2, doi: 10.1007/s12195022-00754-8

10. Hammad, M. (2023). The Impact of Artificial Intelligence (AI) Programs on Writing Scientific Research. Annals of Biomedical Engineering. Vol. 51, pp. 459-460, doi: 10.1007/s10439-023-03140-1

11. Biswas, S.S. (2023). Potential Use of Chat GPT in Global Warming. Annals of Biomedical Engineering, doi: 10.1007/s10439-023-03171-8

12. Van Dis, E., Bollen, J., van Rooij, R., Zuidema, W., Bockting, C. (2023). ChatGPT: Five Priorities for Research. Nature. Vol. 614, pp. 224-226, doi: 10.1038/d41586-023-00288-7

13. Chatterjee, J., Dethlefs, N. (2023). This New Conversational AI Model Can Be Your Friend, Philosopher, and Guide ... and Even Your Worst Enemy.. Patterns, Vol. 4(1), 100676, doi: 10.1016/j.patter.2022.100676

14. Khalil, M., Er, E. (2023). Will ChatGPT Get You Caught? Rethinking of Plagiarism Detection. arXiv, doi: 10.35542/osf.io/fnh48

15. Rudolph J., Tan S., Tan S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning & Teaching. Vol. 6, no.1, doi: 10.37074/jalt.2023.6.1.9

16. Atlas, S. (2023). ChatGPT for Higher Education and Professional Development: A Guide to Conversational AI. Available at: https://digitalcommons.uri.edu/cba_facpubs/548 (accessed 04.03.2023).

17. Kasneci E., Seßler K., Küchemann S.. Bannert M., Dementieva D., Fischer F., et al. (2023). ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education, doi: 10.35542/osf.io/5er8f

18. Kung, T.H., Cheatham, M., Medenilla, A., Sillos, C., De Leon L., Elepaсo, C., Madriaga, M., Aggabao, R., DiazCandido, G., Maningo, J., Tseng, V. (2023). Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models. PLOS Digital Health. Vol. 2, no. 2, article no. e0000198, doi: 10.1371/journal.pdig.0000198

19. Halaweh, M. (2023). ChatGPT in Education: Strategies for Responsible Implementation. Contemporary Educational Technology. Vol. 15, no. 2, article no. ep421, doi: 10.30935/cedtech/13036


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ISSN 0869-3617 (Print)
ISSN 2072-0459 (Online)