完整原文
The integration of artificial intelligence into modern classrooms presents unprecedented opportunities for personalized learning, yet it simultaneously raises profound pedagogical and ethical concerns that warrant careful scrutiny. By leveraging adaptive algorithms and data analytics, educators can dynamically tailor instructional materials to individual students’ cognitive profiles, thereby significantly boosting academic engagement and knowledge retention. However, an over-reliance on automated tutoring systems may gradually erode essential teacher-student interactions, potentially stifling learners’ critical thinking and emotional resilience in the long run. Therefore, educational policymakers must prioritize establishing robust data privacy frameworks while ensuring that AI functions as a complementary assistant rather than a pedagogical substitute.