Abstract
Aiming at the problems existing in the traditional teaching mode, this paper intelligently optimizes English teaching courses by using multidirectional mutation genetic algorithm and its optimization neural network method. Firstly, this paper gives the framework of intelligent English course optimization system based on multidirectional mutation genetic BP neural network and analyses the local optimization problems existing in the traditional BP algorithm. A BP neural network optimization algorithm based on multidirectional mutation genetic algorithm (MMGA-BP) is presented. Then, the multidirectional mutation genetic BPNN algorithm is applied to the intelligent optimization of English teaching courses. The simulation shows that the multidirectional mutation genetic BP neural network algorithm can solve the local optimization problem of traditional BP neural network. Finally, a control group and an experimental group are set up to verify the role of multidirectional mutation genetic algorithm and its optimization neural network in the intelligent optimization system of English teaching courses through the combination of summative and formative teaching evaluations. The data show that MMGA-BP algorithm can significantly improve the scores of academic students in English courses and has better teaching performance. The effect of vocabulary teaching under the guidance of MMGA-BP optimization theory is very significant, which plays a certain role in the intelligent curriculum optimization of the experimental class.
Highlights
Traditional English teaching is a one-way “training” activity for teachers to students
The evaluation object of teaching experiment is the ordinary class of Science in grade two of senior high school. e main reasons for choosing senior two are as follows: It takes some time to be familiar with the characteristics of senior high school English teaching and find their problems and difficulties in the process of English learning; senior three students face the pressure of college entrance examination, and it is not easy for teachers to give up the traditional teaching mode to carry out teaching experiments; after a year of high school life, senior two students have highlighted various problems in English learning
Aiming at the problems existing in the traditional teaching mode, this paper intelligently optimizes English teaching courses by using multidirectional mutation genetic algorithm and its optimization neural network method
Summary
Traditional English teaching is a one-way “training” activity for teachers to students. In Chinese traditional English classroom teaching, it is mainly emphasized that students’ learning is mainly based on indirect experience. English classroom has become a “holy Church” for imparting pure book knowledge Students, such as saints in the “Church,” live a rigid and mechanical life far away from the real-life acquisition of scientific knowledge. If English curriculum reform wants to achieve essential success, teaching and research experts and front-line teachers still have a long way to go. In view of these problems, teachers still need to constantly change and adjust to meet the needs of cultivating talents in the 21st century [3]
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