期刊名称：International Journal of Emerging Technologies in Learning (iJET)
印刷版ISSN：1863-0383
出版年度：2022
卷号：17
期号：8
页码：140-154
DOI：10.3991/ijet.v17i08.30561
语种：English
出版社：Kassel University Press
摘要：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.
关键词：situational teaching;college English learning;evaluation of reading;listening;and speaking (RLS) ability
