Development and Application of Constructive English MOOC System Based on RBF Algorithm

With the development of information technology, networking and intelligence have become indispensable parts of people’s daily life, and learning is increasingly inseparable from the Internet. As a new discipline, RBF system development is more in line with the trend of the times. This paper analyzes the current situation of English teaching in China and the students’ ability to accept and use knowledge, and studies the principle of RBF algorithm, designs and develops an English MOOC system, and then tests the operation effect of the system. The test results show that the Constructive English MOOC system based on RBF algorithm can run smoothly, with the system running time of 3-7 seconds, and the maximum running efficiency of 98%. This shows that the constructive English MOOC system can meet the needs of users. Teachers are the disseminators of knowledge in traditional English classroom teaching, whereas students just passively receive knowledge. Owing to time constraints and a lack of instructional methodologies, teaching activities must be augmented with computer and multimedia technology. Rich instructional strategies can help students develop their abilities to conduct independent research. It is advantageous to construct this English learning platform in order to boost students’ capacity to use information technology. It can increase students’ interest and awareness of English learning by making them the major body of teaching and learning. This English learning platform performs a good and positive auxiliary role for students to learn English and acts as a superior means of English education by using the radial basis function (RBF) algorithm in conjunction with constructive English teaching methods. In a nutshell, English teaching research has both research value and positive significance.