Artificial Intelligence in Education: Next-Gen Teacher Perspectives

Nicoleta Samarescu, Robert Bumbac (), Alin Zamfiroiu and Maria-Cristina Iorgulescu
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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

The AMFITEATRU ECONOMIC journal, 2024, vol. 26, issue 65, 145

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.

Keywords: artificial intelligence; education; technology; future teachers; teacher training; behaviour intention; Technology Acceptance Model (TAM). (search for similar items in EconPapers)
JEL-codes: I20 O33 (search for similar items in EconPapers)
Date: 2024
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