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With the continuous advancement of artificial
intelligence (AI) technology, the field of education is
undergoing profound transformations. In the realm of
personalized learning, AI utilizes advanced data
analysis and adaptive technologies to customize learning
plans for individual students, enhancing both efficiency
and effectiveness. This paper examines the role of AI in
personalized learning, focusing on its technical
foundations, real-world applications, and the obstacles
it encounters. First, we define the core concept of
personalized learning and analyze how AI provides
customized learning experiences for students through
intelligent tutoring systems, predictive analytics, and
data analysis. The paper further delves into the
advantages of AI-driven personalized learning, including
increased learning efficiency, greater student
engagement, and enhanced support for students with
learning difficulties. At the same time, it highlights
some challenges AI faces in education, including issues
of data privacy, algorithmic bias, and insufficient
technological infrastructure. Lastly, this paper
envisions the future of AI in personalized learning,
highlighting the crucial role of collaboration among
educators, technology developers, and policymakers in
promoting its sustainable growth. |
