大数据框架下聚类算法在大学生英语阅读能力评价中的应用

Q2 Social Sciences
Yanhui Wang
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引用次数: 0

摘要

近年来,中国加快了国际化进程,在跨国交流与合作方面取得了越来越多的成就。英语学习对于当代大学生来说非常重要。而英语阅读是获取英语语言知识、了解外部信息、提高英语语言实践能力的重要手段。因此,培养大学生的英语阅读能力是大学英语教学中至关重要的一环。本研究将重点探讨基于大数据框架的聚类算法在大学生英语阅读能力评价中的应用,旨在探索和建立有效的评价模型,促进大学生英语阅读能力和学习成绩的提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Clustering Algorithm in the Evaluation of College Students' English Reading Ability Under the Framework of Big Data
In recent years, China has accelerated the process of internationalization and made more and more achievements in transnational communication and cooperation. English learning is very important for contemporary college students. And English reading is an important means to acquire English language knowledge, understand external information and improve English language practice ability. Therefore, cultivating college students' English reading ability is a pivotal element in college English teaching. This study will focus on the application of clustering algorithm based on big data framework in the evaluation of college students' English reading ability, aiming at exploring and establishing an effective evaluation model to promote the improvement of college students' English reading ability and academic achievement.
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CiteScore
2.40
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0.00%
发文量
68
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