IDEAS home Printed from https://ideas.repec.org/a/aes/amfeco/v26y2024i65p89.html
   My bibliography  Save this article

The Social Impact of Using Artificial Intelligence in Education

Author

Listed:
  • 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)

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.

Suggested Citation

  • Andreea Simona Saseanu & Rodica-Manuela Gogonea & Simona Ioana Ghita, 2024. "The Social Impact of Using Artificial Intelligence in Education," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(65), pages 1-89, February.
    • Handle: RePEc:aes:amfeco:v:26:y:2024:i:65:p:89
    as

    Download full text from publisher

    File URL: http://www.amfiteatrueconomic.ro/temp/Article_3281.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mehrnaz Fahimirad & Sedigheh Shakib Kotamjani, 2018. "A Review on Application of Artificial Intelligence in Teaching and Learning in Educational Contexts," International Journal of Learning and Development, Macrothink Institute, vol. 8(4), pages 106-118, December.
    2. Corina Pelau & Irina Ene & Mihai-Ionut Pop, 2021. "The Impact of Artificial Intelligence on Consumers’ Identity and Human Skills," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(56), pages 1-33, February.
    3. Mihai Felea & Mihaela Bucur & Cristian Negru?iu & Maria Ni?u & Drago? Andrei Stoica, 2021. "Wearable Technology Adoption Among Romanian Students: A Structural Model Based on TAM," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(57), pages 376-376.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pelau Corina & Barbul Maria, 2021. "Consumers’ perception on the use of cognitive computing," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 15(1), pages 639-649, December.
    2. Wu, Min & Wang, Nanxi & Yuen, Kum Fai, 2023. "Can autonomy level and anthropomorphic characteristics affect public acceptance and trust towards shared autonomous vehicles?," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    3. Aleksandra Klašnja-Milićević & Mirjana Ivanović, 2021. "E-learning Personalization Systems and Sustainable Education," Sustainability, MDPI, vol. 13(12), pages 1-6, June.

    More about this item

    Keywords

    artificial intelligence; education; logistic model; multinominal model; learning experience; job prospects; society;
    All these keywords.

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aes:amfeco:v:26:y:2024:i:65:p:89. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Valentin Dumitru (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.