Mathematics Online Teaching Quality Test System Based on Optimization Algorithm

Optimization problem has always been a difficult and hot topic. With the development of mathematical science, people have a deeper understanding of it, and the idea of optimization into various fields. Optimization theory has become an important subject in recent years and has been widely used in many important fields. With the improvement of science and technology, computer and network technology has been popularized in every corner of social life. Since the spring of 2020, in the face of the impact of the novel coronavirus epidemic, the Ministry of Education has issued a notice of “using online platforms to suspend classes without stopping school”, and large, primary and secondary schools across the country are taking part in online teaching. The implementation of online teaching has rapidly changed the teaching methods of teachers and students. The changes of learning environment, learning platform and teaching methods have also brought new challenges to teachers. Therefore, in order to solve the problems accompanying online teaching, improve the effect of online teaching of mathematics, in order to help mathematics teachers more accurate and efficient online teaching work. In this paper, an online mathematics teaching quality testing system based on optimization algorithm is proposed. The AMM algorithm is used in the numerical experiment. Thirdly, the improved algorithm proposed in this paper is compared with the classical gradient descent optimization algorithm, which proves that the algorithm is feasible and efficient. The experimental results show that the combination of optimization algorithm and big data technology can better realize the online teaching quality detection, but also help students to obtain better learning experience and effect.