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Artificial Intelligence in Education: Next-Gen Teacher Perspectives

Author

Listed:
  • Nicoleta Samarescu

    (National University of Science and Technology Politehnica Bucharest, University Centre Pite?ti, Pite?ti, Romania)

  • Robert Bumbac

    (Bucharest University of Economic Studies, Bucharest, Romania)

  • Alin Zamfiroiu

    (Bucharest University of Economic Studies, Bucharest, Romania and National Institute for Research & Development in Informatics – ICI Bucharest, Bucharest, Romania)

  • Maria-Cristina Iorgulescu

    (Bucharest University of Economic Studies, Bucharest, Romania)

Abstract

The progress made by artificial intelligence (AI) worldwide has led, through the Beijing Consensus, UNESCO to recommend to governments, in 2019, to include AI in educational policies and processes. While numerous studies inventory students' and teachers’ opinions on the use of AI in education (AIEd), this article differs by analysing the factors that influence the behavioural intention to use AI from the training stage of future primary and secondary teachers in Romania. Through exploratory quantitative research, carried out on a sample of 270 students from the Faculty of Education, Social Sciences and Psychology, the interaction of subjects with AI and the intention of integrating AIEd are followed using binary logistic regression. The analysis conducted shows that among the six variables of the model, “the confidence in personal ability to use AI” and “the perception of a greater number of advantages” have a positive and significant impact on the willingness to use AI in the educational process, more than “being previously used”, “the knowledge level” or “student requirements”. These findings are of particular importance for the revision of teacher training programmes and the development of educational policies that increase the confidence of future teachers in the ability to use AI, eliminating fears or misconceptions about AI.

Suggested Citation

  • Nicoleta Samarescu & Robert Bumbac & Alin Zamfiroiu & Maria-Cristina Iorgulescu, 2024. "Artificial Intelligence in Education: Next-Gen Teacher Perspectives," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(65), pages 145-145, February.
    • Handle: RePEc:aes:amfeco:v:26:y:2024:i:65:p:145
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    References listed on IDEAS

    as
    1. Alina Iorga Pisica & Tudor Edu & Rodica Milena Zaharia & Razvan Zaharia, 2023. "Implementing Artificial Intelligence in Higher Education: Pros and Cons from the Perspectives of Academics," Societies, MDPI, vol. 13(5), pages 1-13, May.
    2. Jörg Henseler & Marko Sarstedt, 2013. "Goodness-of-fit indices for partial least squares path modeling," Computational Statistics, Springer, vol. 28(2), pages 565-580, April.
    3. Alexandru Jurconi & Ioana Maria Popescu (Iacobescu) & Daniela-Ioana Manea & Mihaela Mihai & Rodica Pamfilie, 2022. "The Impact of the “Green Transition” in the Field of Food Packaging on the Behavior of Romanian Consumers," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 24(60), pages 395-395, April.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    artificial intelligence; education; technology; future teachers; teacher training; behaviour intention; Technology Acceptance Model (TAM).;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • I20 - Health, Education, and Welfare - - Education - - - General

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