A study on the construction of an online interactive teaching platform for English in colleges and universities based on the fusion of multi-source and multi-objective statistical information

Abstract

This paper firstly combines English teaching in colleges and universities and big data technology and proposes the information technology of English teaching in colleges and universities based on the fusion of multi-source and multi-objective statistical information and conducts research on the traditional teaching optimization algorithm and multi-task teaching optimization algorithm to promote English teaching in colleges and universities. Secondly, in the “teaching” phase, teachers and teaching assistants teach according to the difference between their average level and the class average to increase the value of each student’s factor and increase individual exploration and group diversity in the “learning” phase. Then, the English teaching platform was designed and studied regarding system structure and platform function, simulated and analyzed. The results show that the efficiency of the multitasking optimization algorithm is increased by 21.85% compared with the traditional teaching optimization algorithm for the number of concurrent users from 10 to 100 and 16.46% when the number of concurrent users is 100, which has a positive effect on students’ English learning efficiency.

Keywords

• teaching optimization algorithm
• “teaching” stage
• “learning” stage
• system structure
• platform function
• college english
• 97c50