Artificial Intelligence as a Teaching and Pedagogical Tool
Parole chiave:
Educational Technology; Innovative Learning; PedagogyAbstract
Artificial Intelligence (AI) is reshaping education by introducing innovative tools that enhance and personalize learning. This transformation not only influences how students acquire knowledge but also redefines the role of educators and the learning environment itself. AI, broadly defined as systems that mimic human intelligence, manifests in various educational applications, such as chatbots for student support, data-driven learning analytics, and machine learning for predictive interventions. AI-driven learning analytics can identify at-risk students, optimize course design, and improve learning outcomes. Additionally, conversational agents enhance interactivity, while blockchain ensures secure certification for online courses. However, AI’s effectiveness in education depends on its pedagogical integration. Teaching strategies must align with AI advancements to foster sustainable, inclusive, and accessible learning environments. European and national strategies emphasize the need to integrate AI education into curricula and invest in teacher training. Ultimately, AI offers significant potential to improve education, but its success relies on responsible implementation guided by pedagogical principles. This article explores how AI can transform teaching and learning while ensuring that technological advancements align with educational goals.
Riferimenti bibliografici
Ranieri, M. (2024). Intelligenza artificiale a scuola. una lettura pedagogico-didattica delle sfide e delle op-portunità. Rivista di Scienze dell'Educazione, 62(1).
Fiorucci, A., & Bevilacqua, A. (2024). Il dibattito scientifico sull’Intelligenza Artificiale in ambito educa-tivo: una scoping review sugli approcci e sulle tendenze della ricerca pedagogica in Italia. Education Sciences & Society-Open Access, 15(2).
Marchetti, B., & Casonato, C. (2021). Prime osservazioni sulla proposta di Regolamento dell'Unione eu-ropea in materia di intelligenza artificiale. BioLaw journal, 2021(3), 415-437.
Simonetti, C. (2024). Didattica, pedagogia e intelligenza artificiale. Verso una cultura digitale. Personae. Scenari e prospettive pedagogiche, 3(1), 18-25.
Barca, A., Bellotti, C., & Carruba, M. C. (2024). Avatars inclusivi e costruzione dell’identità digitale ai tempi dell’intelligenza artificiale. Personae. Scenari e prospettive pedagogiche, 3(1), 62-72.
Nirchi, S., Mangione, G. R. J., De Vincenzo, C., & Pettenati, M. C. (2025). Indagine esplorativa sulla per-cezione dei docenti neoassunti circa l’impiego dell’intelligenza artificiale nella didattica: punti di forza, ostacoli e prospettive. Journal of Educational, Cultural and Psychological Studies (ECPS Journal), (30), 151-180.
Pagliara, S. M., & Bonavolonta, G. (2024). Intelligenza artificiale ed elementi per la progettazione educa-tiva. MIZAR, (20), 4-16.
Pedone, A. (2021). I sistemi di formazione e la transizione digitale. Dalla risposta all'emergenza al piano d'azione per l'istruzione e la formazione digitale.
Crisci, S. (2020). Una strategia italiana per l'Intelligenza Artificiale.
Moriggi, S., & Pireddu, M. (2025). Apprendere (con) l’intelligenza artificiale. Un approccio me-dia-archeologico. Journal of Educational, Cultural and Psychological Studies (ECPS Journal), (30), 53-64.
Alsolami, A. S. (2025). The effectiveness of using artificial intelligence in improving academic skills of school-aged students with mild intellectual disabilities in Saudi Arabia. Research in Developmental Disabili-ties, 156, 104884.
McDonald, N., Johri, A., Ali, A., & Collier, A. H. (2025). Generative artificial intelligence in higher edu-cation: Evidence from an analysis of institutional policies and guidelines. Computers in Human Behavior: Artificial Humans, 100121.
Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2(3), 431-440.
Huang, J., Saleh, S., & Liu, Y. (2021). A review on artificial intelligence in education. Academic Journal of Interdisciplinary Studies, 10(3).
Chiu, T. K. (2021). A holistic approach to the design of artificial intelligence (AI) education for K-12 schools. TechTrends, 65(5), 796-807.
Alam, A. (2021, November). Possibilities and apprehensions in the landscape of artificial intelligence in education. In 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA) (pp. 1-8). IEEE.
Huang, X. (2021). Aims for cultivating students’ key competencies based on artificial intelligence education in China. Education and Information Technologies, 26(5), 5127-5147.
Schiff, D. (2021). Out of the laboratory and into the classroom: the future of artificial intelligence in ed-ucation. AI & society, 36(1), 331-348.
Xia, Q., Chiu, T. K., Lee, M., Sanusi, I. T., Dai, Y., & Chai, C. S. (2022). A self-determination theory (SDT) design approach for inclusive and diverse artificial intelligence (AI) education. Computers & Education, 189, 104582.
Ng, D. T. K., Su, J., Leung, J. K. L., & Chu, S. K. W. (2024). Artificial intelligence (AI) literacy education in secondary schools: a review. Interactive Learning Environments, 32(10), 6204-6224.
Almasri, F. (2024). Exploring the impact of artificial intelligence in teaching and learning of science: A systematic review of empirical research. Research in Science Education, 54(5), 977-997.
Sperling, K., Stenberg, C. J., McGrath, C., Åkerfeldt, A., Heintz, F., & Stenliden, L. (2024). In search of artificial intelligence (AI) literacy in Teacher Education: A scoping review. Computers and Education Open, 100169.
Sanusi, I. T., Ayanwale, M. A., & Tolorunleke, A. E. (2024). Investigating pre-service teachers’ artificial intelligence perception from the perspective of planned behavior theory. Computers and Education: Artificial Intelligence, 6, 100202.
Celik, I., Dindar, M., Muukkonen, H., & Järvelä, S. (2022). The promises and challenges of artificial intel-ligence for teachers: A systematic review of research. TechTrends, 66(4), 616-630.
Lindner, A., Romeike, R., Jasute, E., & Pozdniakov, S. (2019). Teachers’ perspectives on artificial intelli-gence. In 12th International conference on informatics in schools,“Situation, evaluation and perspectives”, ISSEP.
Lameras, P., & Arnab, S. (2021). Power to the teachers: an exploratory review on artificial intelligence in education. Information, 13(1), 14.
Vlasova, E. Z., Avksentieva, E. Y., Goncharova, S. V., & Aksyutin, P. A. (2019). Artificial intelligence-The space for the new possibilities to train teachers. Espacios, 40(9), 17.
Al Darayseh, A. (2023). Acceptance of artificial intelligence in teaching science: Science teachers' perspec-tive. Computers and Education: Artificial Intelligence, 4, 100132.
Mandal, J. (2024, August). AI INTEGRATION IN LIFELONG LEARNING: TRANSFORMATIVE APPROACHES TO TEACHING AND LEARNING. In ARTIFICIAL INTELLIGENCE IN EDUCATION (p. 250).
Ismail, A., Aliu, A., Ibrahim, M., & Sulaiman, A. (2024). Preparing teachers of the future in the era of ar-tificial intelligence. Journal of Artificial Intelligence, Machine Learning and Neural Network, 44, 31-41.
Arslankara, V. B., & Usta, E. (2024). Generative artificial intelligence as a lifelong learning self efficacy: Usage and competence scale. Journal of Teacher Education and Lifelong Learning, 6(2), 288-302.
Rawas, S. (2024). ChatGPT: Empowering lifelong learning in the digital age of higher education. Education and Information Technologies, 29(6), 6895-6908.
Altinay, Z., Altinay, F., Sharma, R. C., Dagli, G., Shadiev, R., Yikici, B., & Altinay, M. (2024). Capacity building for student teachers in learning, teaching artificial intelligence for quality of educa-tion. Societies, 14(8), 148.
Palenski, T., Hills, L., Unnikrishnan, S., & Eynon, R. (2024). How AI works: reconfiguring lifelong learn-ing. Postdigital Science and Education, 1-24.
Mhlanga, D. (2023). Open AI in education, the responsible and ethical use of ChatGPT towards lifelong learning. In FinTech and artificial intelligence for sustainable development: The role of smart technologies in achieving development goals (pp. 387-409). Cham: Springer Nature Switzerland.
De La Higuera, C. (2019). A report about education, training teachers and learning artificial intelligence: Overview of key issues. Education, Computer Sciences, 1-11.
##submission.downloads##
Pubblicato
Come citare
Fascicolo
Sezione
Licenza
Copyright (c) 2025 Francesca Latino, Giovanni Tafuri, Francesco Tafuri

Questo lavoro è fornito con la licenza Creative Commons Attribuzione - Non commerciale - Non opere derivate 4.0 Internazionale.