Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/281811 
Year of Publication: 
2024
Citation: 
[Journal:] Amfiteatru Economic [ISSN:] 2247-9104 [Volume:] 26 [Issue:] 65 [Year:] 2024 [Pages:] 89-105
Publisher: 
The Bucharest University of Economic Studies, Bucharest
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.
Subjects: 
artificial intelligence
education
logistic model
multinominal model
learning experience
job prospects
society
JEL: 
C20
D83
I23
J21
L86
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.