Artificial intelligence in education and science: imaginary threats or new opportunities?

Authors

DOI:

https://doi.org/10.55056/cte.1140

Keywords:

artificial intelligence, large language models, ChatGPT, academic integrity, educational technology, scientific research, technological innovation in education

Abstract

This opinion paper, selected by the editorial board, is a translation of a blog post originally published in Ukrainian on the Kryvyi Rih State Pedagogical University website [1]. The author examines the integration of large language models, particularly ChatGPT, into educational and scientific practices, arguing against prevalent concerns about academic integrity violations and the erosion of traditional scholarly methods. Drawing parallels with historical resistance to technological innovations such as calculators and typewriters, the paper contends that artificial intelligence represents a tool for enhancing productivity rather than a threat to intellectual rigour. The author critiques current institutional responses, including AI detection systems and mandatory disclosure requirements, as misguided attempts to regulate what should be recognised as an emerging standard tool in academic work. The paper advocates for the organic integration of AI technologies into education and science, emphasising that these tools augment rather than replace human critical thinking and creativity. Ultimately, the author argues that the academic community should focus on teaching responsible and effective use of AI tools rather than attempting to restrict or stigmatise their application.

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References

Shramko, Y., 2025. Shtuchnyi intelekt v osviti ta nautsi: uiavni zahrozy chy novi mozhlyvosti? Available from: https://kdpu.edu.ua/blogs/2025/09/07/shtuchnyj-intelekt-v-osviti-ta-nautsi-uyavni-zagrozy-chy-novi-mozhlyvosti/

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Published

2025-09-08

Issue

Section

Articles

How to Cite

Shramko, Y., 2025. Artificial intelligence in education and science: imaginary threats or new opportunities?. CTE Workshop Proceedings [Online]. Available from: https://doi.org/10.55056/cte.1140 [Accessed 11 October 2025].
Received 2025-09-08
Accepted 2025-09-08
Published 2025-09-08