Situational Teaching Based Evaluation of College Students’ English Reading, Listening, and Speaking Ability

Abstract

To effectively enhance college students’ English Reading, Listening, and Speaking (RLS) ability, it is important to explore the teaching contents, teaching methods, and the factors affecting the development of college students’ English RLS ability. The existing literature has not clearly defined college students’ English RLS ability, or selected a proper method to evaluate the ability scientifically. To solve the problems, this paper tries to evaluate college students’ English RLS ability based on situational teaching. Firstly, the authors analyzed the teaching idea of college students’ English RLS courses, and established an evaluation index system (EIS) for their RLS ability. After examining the evaluation method, the backpropagation neural network (BPNN) was optimized by genetic algorithm, and used to construct an evaluation model for college students’ English RLS ability. The feasibility of the model was demonstrated through experiments