Koukaras, Christos, et al. “Navigating the Future of Education: A Review on Telecommunications and AI Technologies, Ethical Implications, and Equity Challenges.”Telecom, vol. 7, no. 1, 2026, article 2, MDPI, https://doi.org/10.3390/telecom7010002.
This article reviews how AI and modern telecommunications technologies are converging to reshape education. The authors synthesize research published between 2022 and 2025 to paint a picture of how AI‑enabled systems and AI‑driven assessments depend on high‑performance connectivity. The review also identifies persistent challenges, including ethical governance, data privacy, and algorithmic bias, that affect the fair adoption of AI in education. The authors propose linking telecommunications performance to teaching transformation and highlight future research directions to make AI in education more transparent!
AI in education will impact how millions of students learn, interact, and succeed in the future. When AI systems are combined with advanced networks, they can personalize learning in real time, potentially transforming how schools and universities operate. But it also raises serious questions about privacy, fairness, and who gets access to these technologies, especially since students in underserved regions may be left behind without reliable connectivity. In a world where education is a key to opportunity, understanding both the potential and the pitfalls of AI‑enabled learning is a conversation worth having.
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