The Social Impact of Using Artificial Intelligence in Education

Andreea Simona Saseanu (), Rodica-Manuela Gogonea and Simona Ioana Ghita
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Andreea Simona Saseanu: Bucharest University of Economic Studies
Rodica-Manuela Gogonea: Bucharest University of Economic Studies
Simona Ioana Ghita: Bucharest University of Economic Studies, Romania and Institute of National Economy, Bucharest, Romania

The AMFITEATRU ECONOMIC journal, 2024, vol. 26, issue 65, 89

Abstract: Artificial intelligence currently represents one of the most talked about topics, considering the need for sustainable economic growth at a global level. When it comes to education, artificial intelligence is aimed at enhancing systems, ways of learning, as well as at the results of learning, on the one hand, and training the youth so as to accordingly satisfy the requirements of their future jobs, on the other hand. In this context, research on higher education in Romania was conducted, which analysed the students’ opinion on the social impact of using artificial intelligence in education. As a consequence of performing an opinion poll, answers were collected online from students from prestigious Romanian universities. The data registered for the mentioned objective was processed by applying three statistical and econometric logistic regression models. The results of the first binary logistic model show the respondents’ opinions on the need and importance of enhancing the learning experience by using artificial intelligence in education, considering their gender and level of education. Also, with respect to the two characteristics considered the most significant to the objective of the paper, the following two multinominal logistic models have been developed. The results highlight the way in which the use of artificial intelligence in education influences, on the one hand, the graduates’ prospect for a job and, on the other hand, the society as a whole.

Keywords: artificial intelligence; education; logistic model; multinominal model; learning experience; job prospects; society (search for similar items in EconPapers)
JEL-codes: C20 D83 I23 J21 L86 (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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