Application of Personalized Teaching Aids Based on Artificial Intelligence in Educational Model Innovation

This paper examines the implementation of AI-based personalized teaching tools in innovating educational models. In response to the growing diversity and individualized needs of students, the paper explores how advancements in AI technology present new opportunities in education. Personalized teaching tools leverage intelligent algorithms and big data analysis to comprehensively grasp students’ learning habits, capabilities, and interests. Consequently, they offer precise and tailored educational services. This paper first summarizes the application background of AI in the field of education, and then discusses in detail how personalized teaching aids can support the innovation of educational model, including personalized learning resource recommendation, intelligent learning path planning and real-time learning feedback and evaluation. Through the analysis of specific cases, this paper shows the remarkable achievements of personalized teaching aids in improving students' learning efficiency and teaching quality, and also points out the challenges that may be faced in the implementation process, such as technical bottlenecks, data security and teacher-student acceptance, and puts forward corresponding solutions. This paper aims to bring new perspectives and thoughts to the field of education and jointly promote the progress and development of education.