基于大学生参与自然环境融合的英语教学模式探索

Dan Zhao, Ji Li, Yanping Wang
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引用次数: 0

摘要

在英语教学中,如何通过对学生的自然因素进行标注和分类,对学生的自然因素进行考核和评价,已成为一个关键问题。基于此,本文对基于深度学习的自然环境融入算法在英语教学中的应用进行了深入研究。首先,本文简要阐述了当前英语教学中的应用背景和发展方向,并对其进行了分类、归纳和分析,重点分析了各研究自身的特点、存在的问题,并剖析了其局限性。其次,对英语教学中的环境整合技术进行了分类,并结合英语教学模式的评价,提出了智能化的智慧教学评价方案。最后,本文还进行了实验验证。研究结果表明,对不同英语水平的学习者应用英语测评方法进行分类英语教学,可以提高英语教学质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the English Teaching Model Based on College Students' Participation in Natural Environment Integration
In ELT, how to assess and evaluate students' natural factors by labeling and classifying them has become a key issue. Based on this, this paper makes an in-depth study on the application of natural environment incorporation algorithm based on deep learning in English teaching. First, this paper briefly explains the background and development direction of the current applications in ELT, and categorizes, summarizes, and analyzes them, focusing on the characteristics, problems, and issues of each study itself, and dissecting their limitations. Secondly, the environmental integration technologies in English teaching are categorized, and an intelligent and smart teaching assessment scheme is proposed, combined with the assessment of English teaching mode. Finally, the paper also conducts an experimental validation. The results of the study show that applying English assessment methods to learners of different English levels to their categorized English teaching can improve the quality of English teaching.
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