Design and Implementation of Mathematical MOOC Based on BP Neural Network Algorithm

At present, the new teaching mode based on the "online + offline" combination of MOOC teaching and the interesting flipped classroom has exerted a strong influence on the adoption of traditional mathematics teaching methods in colleges and universities. The current mathematics teaching especially urgently needs to solve the difficult problem of university mathematic teaching in colleges and universities, is to design a mathematical intelligent computer assisted instruction (ICAI) MOOC platform, the platform can according to students' actual learning effect, intelligent meet the demand of the characteristics of students, can for the teachers and students interact through man-machine interaction experience, thus to manage the process of teachers' teaching to the student, to evaluate students' learning effect. To meet these requirements, based on BP neural network algorithm and using SSH framework, this topic designs a SET of MOOC platform to facilitate students to learn mathematics.