English Teaching Strategy Research and Effect Evaluation Based on Deep Learning in Intelligent Environment

Authors

  • Liuxin Gao Zhengzhou University of Science and Technology

Keywords:

English teaching, deep learning, effect evaluation

Abstract

In university English teaching, the integration of deep learning and wisdom classroom is very important to improve students' English thinking ability. The article first explains the connotation and correlation of deep learning and smart classroom. Then, it puts forward how to promote students' deep participation and thinking in college English teaching through the establishment of wisdom teaching objectives, the creation of teaching situations, the design of teaching activities and the development of teaching evaluation. It aims to build an efficient college English wisdom classroom and promote the development of students' comprehensive English ability. In order to test whether intelligent teaching environment and deep learning model can effectively improve the traditional college English teaching model: Students have low sense of learning, low ability of knowledge transfer and application, and low ability to deal with practical problems, improve teaching quality and efficiency, build college English in-depth classroom teaching mode based on intelligent teaching environment, and course teaching implementation process, and take a college English course as a sample to conduct a unit teaching quasi-experiment and effect evaluation.

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Published

2024-11-30

How to Cite

Gao, L. (2024). English Teaching Strategy Research and Effect Evaluation Based on Deep Learning in Intelligent Environment. IJLAI Transactions on Science and Engineering, 2(4), 28–33. Retrieved from https://ijlaitse.com/index.php/site/article/view/52