Data-Driven Personalized Learning

With the continuous development of big data, artificial intelligence and other technologies, education is becoming more and more intelligent, personalized and accurate, accelerating the process of education modernization in China. On the basis of analyzing the connotation of data-driven and personalized learning, this paper sorts out the main research aspects of data-driven personalized learning at present, and proposes a data-driven personalized learning mechanism from four aspects of data-driven. Through data collection, data modeling, data analysis and data feedback, data collection of learners is completed, characteristics of learners are analyzed, and digital portraits are formed. chatGPT and other generative artificial intelligence are used to provide accurate personalized services for learners and promote the personalized development of learners. Research shows that data-driven personalized learning is more scientific, precise, intelligent and diversified.