QUALITATIVE ANALYSIS OF ARTIFICIAL INTELLIGENCE (AI) PLATFORMS IN EDUCATION

Authors

  • Buen Bajrami Faculty of Information and Communication Technologies Author
  • Kostandina Veljanovska Faculty of Information and Communication Technologies Author
  • Zoran Kotevski Faculty of Information and Communication Technologies Author

DOI:

https://doi.org/10.20544/AISC.1.2.25.P05

Keywords:

Artificial Intelligence (AI) platforms, Eklavvya, GPT-3, Gemini, education, teaching – learning

Abstract

Education is one of the basic pillars of a society and as such people, institutions and companies tend to develop continuous reforms for sustainable progress. With the high technological advancement, an increase in AI services is observed and it also affects the educational process. This paper is an attempt to research the latest news regarding the development of special AI services in education. We study the platform that has developed its own AI systems, which are related to the automatic preparation of exam questions and the creation of interactive automatic answers, called the Eklavvya platform. During this research we see that there is an increase in platforms that offer training, courses or help increase knowledge on how to use AI in education. While we estimate that more work needs to be done in developing special platforms that are only related to education and all the services related to it. While we have not found other platforms dedicated only to education, we have researched and carefully addressed the impact of GPT-3 and Gemini on education. Finally, we conclude that AI platforms innovate and provide a positive impact on improving all areas of education, being quite productive in terms of security, exam preparation, answering questions through AI, contributing to sustainability objectives in promoting quality education and promoting innovations in both education and society.

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Published

23.05.2025

How to Cite

QUALITATIVE ANALYSIS OF ARTIFICIAL INTELLIGENCE (AI) PLATFORMS IN EDUCATION. (2025). UKLO Proceedings, 1(2), 55-64. https://doi.org/10.20544/AISC.1.2.25.P05

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