Based on Evaluation of English Teaching Ability by Particle Swarm Optimization Algorithm under the Background of Smart Classroom Teaching Model

Abstract

Smart classroom is the inevitable result of the deep integration of modern information technology and education. The use of particle swarm optimization algorithm can realize the process tracking of teaching and learning in and out of class, create an intelligent learning environment, and facilitate students to break through the limitations of time and space. Based the goal of improving English teaching ability, combined with the connotation and characteristics of smart classroom. Through evaluation of English teaching ability by Particle Swarm Optimization Algorithm this paper establishes smart classroom teaching model. Smart classroom teaching model for the coordinated development of teachers from the perspective of smart classroom teaching model exploration and application, in order to explore whether the teaching model can improve students' learning efficiency, reduce teachers' repetitive work and improve teaching effect. The conclusion of this paper can be employed to reference to promote the construction of English smart classroom teaching ability in vocational and technical institutes colleges, improve the quality of English teaching and promote the reform of English Teaching in vocational and technical institutes colleges.