Italian Journal of Health Education, Sports and Inclusive Didactics
THE ARTIFICIAL INTELLIGENCE BETWEEN EMPATHETIC SCAFFOLDING AND EMOTIONAL DRIFTS
Abstract
Ai is a revolutionary scaffolding technology used as an inclusive multimodal instrument, with a special empathy to the student. But this closeness could easily go beyond the pedagogical boundaries becoming a psychological threat. The study aims to verify, with an exploration among different Ai tools, the awareness of Ai about the ethical and pedagogical boundaries of empathy. Starting from the answers of Ai we could imagine a new model of pedagogical correct emotional oriented scaffolding.
Keywords
References
Abubakar, S., Jeilani, A., & Yusuf, M. (2025). The role of over-reliance on AI in the negative consequences of student learning: The moderating effects of ethical concerns and institutional policies. Cogent Education, 12(1), Article 2591503. https://doi.org/10.1080/2331186X.2025.2591503
Akram, A., Kiren, A., Sabir, S., & Aslam, S. (2025). The effect of AI based scaffolding on problem solving and metacognitive awareness in learners. The Critical Review of Social Sciences Studies, 3(3), 1074-1089.
Al-Zahrani, A. M. (2025). Exploring the impact of artificial intelligence chatbots on human connection and emotional support among higher education students. SAGE Open, 15(2), 1–11. https://doi.org/10.1177/21582440251340615
Babu, J., Joseph, D., Kumar, R. M., Alexander, E., Sasi, R., & Joseph, J. (2025). Emotional AI and the rise of pseudo-intimacy: Are we trading authenticity for algorithmic affection? Frontiers in Psychology, 16, Article 1679324. https://doi.org/10.3389/fpsyg.2025.1679324
Bernacki, M. L., Greene, M. J., & Lobczowski, N. G. (2021). A systematic review of research on personalized learning: Personalized by whom, to what, how, and for what purpose(s)? Educational Psychology Review, 33(4), 1675–1715. https://doi.org/10.1007/s10648-021-09615-8
Brambilla, T. (2026, may 8). Venezia, una ragazza di 20 anni in cura al Serd per dipendenza da intelligenza artificiale. Ai news. Avaible at https://ainews.it/venezia-una-ragazza-di-20-anni-in-cura-al-serd-per-dipendenza-da-intelligenza-artificiale/
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Calderon, R., & Herrera, F. (2025). And Plato met ChatGPT: an ethical reflection on the use of chatbots in scientific research writing, with a particular focus on the social sciences. Humanities and Social Sciences Communications, 12(1), 1-13.
Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). Sage.
Cuadra, A., Wang, M., Stein, L. A., Jung, M. F., Dell, N., Estrin, D., & Landay, J. A. (2024, May). The illusion of empathy? notes on displays of emotion in human-computer interaction. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (pp. 1-18).https://doi.org/10.1145/3613904.364233
Eder, M., Rybicki, J., & Kestemont, M. (2016). Stylometry with R: A package for computational text analysis. The R Journal, 8(1), 107–121.
Fiorucci, A., & Bevilacqua, A. (2024). An almost happy marriage… Artificial intelligence in special education: Opportunities and risks. Italian Journal of Special Education for Inclusion, 12(2), 73–83. https://doi.org/10.7346/sipes-02-2024-06
Hamedi, W. H. W., Ali, F. D. A., Abdullah, W. Y., Ab, H., Hamid, N. I. M. S., & Amir, M. M. (2025). AI as a digital scaffold: An integrative review of Vygotsky's Zone of Proximal Development in modern education. Journal of Modern Education, 7(26), 579-589.
Hu, B., Mao, Y., & Kim, K. J. (2023). How social anxiety leads to problematic use of conversational AI: The roles of loneliness, rumination, and mind perception. Computers in Human Behavior, 145, 107760.
Kazazoglu, S., & Turun Özel, G. (2025). The impact of chatbots on emotional intelligence in AI-assisted EFL writing. Frontiers in Education, 10, Article 1624272. https://doi.org/10.3389/feduc.2025.1624272
Limone, P. (2012). Ambienti di apprendimento e progettazione didattica. Proposte per un sistema educativo transmediale. Roma, Carocci.
Liu, P., Yuan, W., Fu, J., Jiang, Z., Hayashi, H., & Neubig, G. (2023). Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing. ACM Computing Surveys, 55(9), Article 195. https://doi.org/10.1145/3560815
Maeda, T., & Quan-Haase, A. (2024). When human-AI interactions become parasocial: Agency and anthropomorphism in affective design. In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’24) (pp. 1–10). Association for Computing Machinery.
https://doi.org/10.1145/3630106.3658956
Murdock-Perriera, L. A., & Sedlacek, Q. C. (2018). Questioning Pygmalion in the twenty-first century: The formation, transmission, and attributional influence of teacher expectancies. Social Psychology of Education, 21(3), 691-707.
Sichterman, B., Noroozi, O., Boetje, J., van Ginkel, S., Khosravi, H., & Versendaal, J. (2025). Supporting peer learning with artificial intelligence: A systematic literature review. Innovations in Education and Teaching International, 62(5), 1648–1664. https://doi.org/10.1080/14703297.2025.2530118
Smith B. & Kelly K. (24 october 2024). A 14-year-old boy fell in love with a flirty AI chatbot. He shot himself so they could die together. The telegraph. https://www.telegraph.co.uk/us/news/2024/10/24/teenage-boy-killed-himself-fall-love-ai-chatbot/
U.S. Department of Education, Office of Educational Technology. (2023). Artificial intelligence and the future of teaching and learning: Insights and recommendations. Washington, DC: U.S. Department of Education.
Vorobyeva, K. I., Belous, S., Savchenko, N. V., Smirnova, L. M., Nikitina, S. A., & Zhdanov, S. P. (2025). Personalized learning through AI: Pedagogical approaches and critical insights. Contemporary Educational Technology, 17(2), Article ep574. https://doi.org/10.30935/cedtech/16108
Wu, R., & Yu, Z. (2024). Do AI chatbots improve students learning outcomes? Evidence from a meta-analysis. British Journal of Educational Technology, 55(1), 10–33. https://doi.org/10.1111/bjet.13334
Wu, X.-Y., Radloff, J. D., Yeter, I. H., Wang, L., & Chiu, T. K. F. (2025). Designing artificial intelligence chatbots for self-regulated learning from a systematic review based on Habermas’s three interests. Interactive Learning Environments. https://doi.org/10.1080/10494820.2025.2563086
Xu, J., Luo, Y., Wang, C., Wang, M., & Wu, Y. (2026). AI support in self-regulated learning: A decade of technological evolution and meta-analysis. British Journal of Educational Technology, 1–30. https://doi.org/10.1111/bjet.70058
Zhai, C., Wibowo, S., & Li, L. D. (2024). The effects of over-reliance on AI dialogue systems on students’ cognitive abilities: A systematic review. Smart Learning Environments, 11, Article 28. https://doi.org/10.1186/s40561-024-00316-7
Zhu, Q., & Luo, J. (2024). Toward artificial empathy for human-centered design. Journal of Mechanical Design, 146(6), 061401.
DOI: https://doi.org/10.32043/gsd.v10i4.1831
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Italian Journal of Health Education, Sports and Inclusive Didactics
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