Design and Implementation of Personalized Blended Teaching Model

Currently, online teaching resources are the popular trend and an increasing number of teachers have engaged in the research of blended teaching models. Relevant literature shows that there are several issues in blended teaching, such as low-quality personalized teaching, poor learning experiences, and significant teaching pressure on teachers. Later, with a decade of development, digital technologies have revolutionized online teaching into smart teaching. With comprehensive information provided by students, this model can offer many functions, including accurate profiles of students, customized knowledge points, graphs, and their relationships based on personalized recommendation algorithms and intelligent teaching effectiveness evaluation algorithms to satisfy the learning demands of students. In this way, students can have a better learning experience with improved learning efficiency.