Application of clustering algorithm in the evaluation of college students' English reading ability under the framework of big data

Author:

Wang Yanhui1

Affiliation:

1. Luoyang Normal University

Abstract

Abstract

In recent years, China has accelerated its internationalization process and made more and more achievements in cross-country exchanges and cooperation. This also means that China's demand for foreign language talents is increasing. Currently, there are two prominent problems in college students 'English learning: one is the personalized problem. For students with different abilities, they cannot teach students according to their aptitude. At the same time, they have made a learning plan, but in the later stage, they do not adjust the learning plan according to the growth of students' learning ability and knowledge from the adaptation. Therefore, learning English 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 content of college English teaching. With the advancement of English reform, the theory of English reading teaching has been updated all the time. English reading ability is not only the basis of English comprehensive ability. Training students' reading ability greatly promotes the improvement of College Students' Comprehensive English level. Teachers should also teach students by aptitude to improve students' English reading ability.

Publisher

Springer Science and Business Media LLC

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