Research on literature cognitive strategy model by big data and statistical analysis

Wang Qian, Lin Mingzu
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Abstract

In recent years, with the deepening of English teaching reform and the cultivation of English thinking ability, the application of English cross-cultural communication ability has gradually become the most important task and goal in English teaching. The purpose of this paper is to analyze the current situation of English literature by using big data combined with the current social background, and then make a targeted study on the cognitive strategies of English literature. This paper mainly through consulting the relevant literature at home and abroad and using the observation and comparison method to carry out the experiment, so as to achieve our experimental goal – to study the cognitive strategies of English literature based on the background of big data, so as to improve the cognitive strategies of English literature in Colleges and universities. The experimental results show that big data can effectively carry out the research on the thinking teaching mode of English literature reading and follow the research progress at home and abroad at any time.
基于大数据和统计分析的文献认知策略模型研究
近年来,随着英语教学改革的深入和英语思维能力的培养,英语跨文化交际能力的应用逐渐成为英语教学中最重要的任务和目标。本文的目的是利用大数据结合当前的社会背景分析英国文学的现状,进而对英国文学的认知策略进行有针对性的研究。本文主要通过查阅国内外相关文献,采用观察对比的方法进行实验,从而达到我们的实验目的——研究基于大数据背景下的英语文学认知策略,从而完善高校英语文学认知策略。实验结果表明,大数据可以有效开展英语文学阅读思维教学模式的研究,随时跟踪国内外的研究进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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