FUTURE TEACHERS’ PERCEPTION OF ARTIFICIAL INTELLIGENCE: AN EXPLORATORY STUDY ON CURRENT USES AND PROFESSIONAL PROJECTIONS

Ettore Melchionna, Martina Casillo, Valeria Vadalà

Abstract


The study investigates the perceptions of a thousand future support teachers towards Artificial Intelligence. Through a quantitative survey conducted by administering the GAAIS questionnaire, the balance between instrumental acceptance and the "Frankenstein complex" is analyzed. The aim is to examine the tension between perceived usefulness of AI and resistance to its use. The research findings reveal a "critical trust" in AI: although recognized as a scaffolding tool for innovative teaching, it is perceived as a resource at the service of teaching professionalism. Participants reaffirm the centrality of professional autonomy and the educational relationship. The contribution emphasizes the need for training models capable of integrating AI as a support for teaching practice while maintaining the ethical and relational essence of the teaching function.


Keywords


Artificial Intelligence; Frankenstein Complex; Pre-service Teachers; Special Education; Educational Relationship.

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References


Aliaño, A., Hinojosa-Pareja, E. F., & Azcárate, P. (2024). Teachers’ perceptions and attitudes towards Artificial Intelligence in education: A systematic review. Journal of Computer Assisted Learning, 40(2), 415-432.

An, X., & Wang, Y. (2025). Measuring pre-service teachers’ attitudes toward Artificial Intelligence: Validation of the General Attitudes Towards Artificial Intelligence Scale (GAAIS) in educational contexts. Computers & Education, 226, 105-121.

Baldacci, M. (2024). L'azione educativa tra reale e virtuale. Una prospettiva pedagogica nell'era dell'onlife. Milano: FrancoAngeli.

Bocconi, S., Chioccariello, A., & Panesi, S. (2023). Artificial Intelligence in Education: Challenges and Opportunities for Teacher Training. Italian Journal of Educational Technology, 31(2), 45-61.

Caldarini, G., Jha, S., & Shancri, A. (2024). Artificial Intelligence in Special Education: Scaffolding Individualized Education Plans (IEPs) through algorithmic differentiation. International Journal of Inclusive Education, 28(4), 389-407.

Calvani, A., & Menichetti, L. (2023). Automi a scuola? Intelligenza Artificiale e professione docente. Roma: Carocci.

Cambi, F. (2025). L'umanesimo tecnologico alla prova dell'algoritmo: derive e risposte della pedagogia critica. Studi sulla Formazione, 28(1), 13-24.

Carlomagno, N., Vadalá, V., & Ricciardi, A. (2026). AI and the Transformation of Teaching Functions: Teachers’ Perceptions. RESEARCH TRENDS IN HUMANITIES Education & Philosophy, 13(1), 107-129.

Chassignol, M., Khoroshavin, A., & Teplov, A. (2024). Artificial Intelligence trends in education: A technological and pedagogical assessment (2023–2026). Educational Research Review, 42, 100-118.

Cochran, H., & Smith, L. (2025). Preserving the human core: Ethical boundaries of AI integration in special education and student counseling. Exceptional Children, 91(3), 274-291.

Fedeli, L. (2023). Didattica generativa e intelligenza artificiale. Modelli di prompting per la formazione dei docenti. Pisa: ETS.

Floridi, L. (2024). L'etica dell'intelligenza artificiale. Sviluppi, opportunità, sfide. Milano: Raffaello Cortina Editore.

Floridi, L. (2025). L'infosfera e le sfide dell'onlife: la riconfigurazione dell'agire umano. Modena: il Mulino.

Gallese, V., & Morelli, U. (2024). Cosa significa essere umani? Corpo, cervello e relazione per vivere nel presente. Milano: Raffaello Cortina Editore.

Gaspari, S. (2024). Inclusione e tecnologie algoritmiche: lo "sguardo clinico" del docente di sostegno oltre la standardizzazione digitale. L'Integrazione Scolastica e Sociale, 23(3), 45-58.

Giaconi, C., & Borsini, L. (2025). Nuove sfide per la Pedagogia e la Didattica Speciale: uno studio sulle percezioni dei docenti in formazione sul ruolo dell'IA. In SIPES - Nuove sfide per la Pedagogia e la Didattica Speciale. Lecce: Pensa MultiMedia Editore.

Lim, J., & Kim, M. (2024). Pre-service special education teachers’ techno-anxiety and the "Frankenstein Complex": A mixed-methods study. Asia-Pacific Journal of Teacher Education, 52(2), 156-173.

Lucisano, P. (2023). Algoritmi, automazione e valutazione: l'illusione del controllo oggettivo nella relazione educativa. Rassegna di Pedagogia, 81(1/2), 89-104.

Margiotta, U. (2024). Pedagogia della cura e dell'imprevisto nell'era delle macchine intelligenti. Venezia: Marsilio.

Ouyang, F., & Jiao, P. (2023). Artificial Intelligence in education: The three paradigms of AIED and their implications for teacher professional autonomy. Computers and Education: Artificial Intelligence, 4, 100-114.

Panciroli, C., & Rivoltella, P. C. (2024). Pedagogia algoritmica. Per una riflessione educativa sull'intelligenza artificiale. Brescia: Scholé.

Rivoltella, P. C. (2025). La scuola onlife. Schermi, algoritmi e presenza incarnata nell'agire didattico. Brescia: Scholé.

Selwyn, N. (2019). Should Robots Replace Teachers? AI and the Future of Education. Cambridge: Polity Press.

Selwyn, N. (2024). The Algorithmic Teacher: AI, Data, and the Automation of Schooling. London: Routledge.

Sibilio, M. (2020). L’interazione didattica. Scholé.

Vygotskij, L. S. (1978). Mind in Society: The Development of Higher Psychological Processes. Cambridge, MA: Harvard University Press.

Zawacki-Richter, O., & Marin, V. I. (2026). Research trends in Artificial Intelligence in Higher Education: A systematically updated bibliography (2023–2026). International Journal of Educational Technology in Higher Education, 23(1), 12-34.




DOI: https://doi.org/10.32043/gsd.v10i4.1835

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