Design and Implementation of Smart Teaching Platform Based on Big Data

In view of the drawbacks of the traditional teacher-centered teaching model, based on the massive data on the new teaching platform, this paper puts forward a solution to the smart teaching model with the big data technology as the core method. Firstly, it stores the massive data generated in the process of teachers' teaching and students' learning, uses the big data analysis and data mining technology to analyze and evaluate the learning process and makes predictions to achieve smart and efficient teaching mode. Secondly, it feeds back the basic learning process model to the teaching process, optimizes the data elements needed for analysis, improves the learning process model and establishes the final learning process. The process model and the personalized knowledge recommendation model are used to realize the student-centered teaching model, which mainly includes two aspects. According to process analysis and evaluation, personalized knowledge recommendation is provided for students via this platform and a student-centered teaching mode is realized.