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The past few years have witnessed tremendous advancements in artificial intelligence (AI), significantly impacting various sectors, particularly education. AI-powered tools and technologies have become integral to the educational process, from data analysis and personalized learning experiences to student performance assessment and targeted support. This AI-driven revolution in education has opened new avenues for more effective and personalized learning. As this revolution progresses, the question arises: what's next? How can we leverage these advancements to further enhance education? Will AI tools remain merely educational aids, or will they become an essential component of classrooms and curricula? These questions are crucial for understanding the future trends of educational technology. Many experts anticipate that AI advancements will not only improve quality but also fundamentally transform how students and teachers interact with educational materials. AI-based tools will foster communication among students from diverse backgrounds and facilitate the acquisition of advanced skills. However, these significant transformations come with their own challenges, including the need for clear regulatory policies to ensure the safe and responsible use of AI in education. Furthermore, this new approach requires developing teachers' skills to keep pace with technological advancements and ensure the quality of ongoing education. In this context, the question "e;What comes after the AI-driven educational quality revolution?"e; invites deep reflection on the future of education and how we can guarantee its continuity.
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