Constructing a Demand-Driven College English Learning Environment in Higher Education Institutions

Abstract

ABSTRACT This paper aims to introduce a new approach to enhance college English learning through an intelligent method that constructs a learning environment from a demand analysis perspective. The proposed model utilizes a bionic algorithm to structure the algorithm and adopts a highly efficient energy generation method to calculate the interaction energy. This study aims to find the optimal solution to the constraint problem by using a process of continuous generation, expansion, and replacement of magnetosomes. The methodology employed in this research involved constructing the college English learning environment in colleges and universities from a demand analysis perspective. This was achieved by analyzing the needs and requirements of college students and designing an ecological virtual learning environment (EVLE) that meets their demands. The findings of this study indicate that the proposed EVLE for college English is effective in improving the effectiveness of college English learning. The experimental verification results support the effectiveness of the proposed model in creating an interactive and engaging learning environment that facilitates the acquisition of English language skills. It is an innovative approach to college English learning that utilizes intelligent methods to construct a demand-driven learning environment that enhances students’ learning outcomes.