This paper delves into the transformative impact of artificial intelligence (AI) on modern teaching methods, highlighting its role in enhancing teaching efficiency and personalizing educational experiences. It presents a theoretical framework that underscores the importance of student-centered learning and the integration of AI technologies in educational settings. The paper reviews various AI tools and technologies, such as intelligent tutoring systems and adaptive learning platforms, and examines their implementation in real-world classroom scenarios through case studies. It discusses the benefits of AI in terms of automating administrative tasks, providing immediate feedback, and offering data analytics for informed decision-making. The paper also considers the ethical implications and challenges of AI integration, emphasizing the need for responsible and equitable use of technology in education. The conclusion advocates for a collaborative approach among educators, policymakers, and students to maximize the potential of AI while addressing its challenges, ensuring that the educational system evolves to meet the needs of the 21st-century learner.

Yang Baichuan. Research on Improving Teaching Efficiency and Quantifying Learning Plans in Innovative Education Practice. Frontiers in Educational Research (2024) Vol. 7, Issue 9: 254-258. https://doi.org/10.25236/FER.2024.070939.

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