Research on the Analysis of Teaching Effect and Teaching Strategy of Higher Mathematics Based on Smart Education Platform

Taking 143 students in a university as a sample, this study uses correlation analysis, descriptive statistics and regression analysis to explore in depth the effect of the application of the smart education platform in the teaching of higher mathematics. It is found that the length and number of online practice, homework completion and knowledge mastery are significantly correlated with final grades. Based on these key indicators, this paper constructs a regression equation for final grades, and the model is able to explain about 83% of the changes in final grades, showing high reliability. On this basis, this paper further analyzes the impact of online and offline data on final grades, and proposes a series of specific teaching strategies, aiming to create a more efficient and personalized learning experience for students, and then comprehensively improve the teaching quality of higher mathematics.