Intelligent Platform for College English Blended Teaching Based on Mobile Learning

There is a large amount of heterogeneous data in the hybrid teaching platform, and the amount of data is large and various, resulting in low efficiency of database retrieval, which in turn affects the response time of platform query. Design an intelligent platform for college English blended teaching based on mobile learning. The hardware part adopts the combination of FPGA and CPU to realize data collection and processing, and the read-write control module sends data to the process control module to complete the read-write. In the software part, an intelligent platform software architecture is established according to teaching needs, a platform database is designed, and data is stored and accessed through relational databases and SQL. Based on mobile learning, the functional modules of the teaching software are implemented. The client directly faces the user. It receives and calculates and processes the user data, and then sends a request to the server. The test results show that the average response time of the English blended teaching intelligent platform designed in this paper is lower than that of the traditional teaching platform, and the overall cost acceleration is lower than that of other platforms.