Abstract: With the emergence of information technologies such as cloud computing, big data, and artificial intelligence, new ideas have emerged to solve teaching problems in colleges and universities. However, the lack of personalized teaching is the pain point of current college education, and it is imminent to build a deeply personalized hybrid teaching model in the big data environment. This paper analyzes the current situation of personalized teaching in colleges and universities through a questionnaire survey. In response to the problems that find, this paper relies on the concept of digital twin learners, and constructs a personalized blended teaching model from four aspects: model principle, resource integration, digital twin learner construction, and personalized blended teaching. This research provides a model reference for the current colleges and universities to carry out online and offline integration of personalized teaching, which helps teachers and students to improve the efficiency of teaching and learning.

Key words: Digital twin, Personalized teaching, Hybrid teaching model, Online and offline resource integration