Integration and Construction of Intelligent Learning Models for Business English Courses in Colleges and Universities under Big Data Technology

Abstract

Intelligent education is an inevitable trend in the development of teaching in colleges and universities, and this paper constructs a smart teaching mode of business English in colleges and universities based on the achievement scalar function and multi-objective optimization algorithm. In the paper, the mixed difference operator is used to improve the singularity of business English teaching objectives and to diversify the teaching objectives. The achievement scalar function is used to assess students’ business English proficiency, and teaching strategies are proposed based on the target distribution parameters. By exploring the intrinsic connection between diversified objectives and intelligent classrooms, the intelligent classroom teaching model is constructed. Analyzing the learning effect and language proficiency of students under the smart classroom teaching mode of business English, the feasibility and effectiveness of the teaching mode are demonstrated. The results show that in terms of creating a relaxed classroom learning environment, 0.7267 students agreed that the smart classroom could create a relaxing and enjoyable learning environment, and around 0.7 learners believed that the learning resources released by teachers through the smart classroom could further promote their understanding of knowledge. This study provides an effective reference guide for business English teaching, which is more conducive to the development and progress of business English education.

Keywords

• achievement scalar function
• mixed difference operator
• target distribution parameter
• goal optimization algorithm
• english smart teaching
• 97m50