Affiliations: International Exchange School, Changchun Normal University, Changchun, Jilin, China
Correspondence:
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Corresponding author. Liu Yiran, International Exchange School, Changchun Normal University, Changchun, Jilin, China. E-mail: lyran.862@163.com.
Abstract: With the increase of social development and international communication, more and more Chinese candidates take IELTS test as the basis of study and work. IELTS is more difficult than national CET-4 and CET-6, listening and reading are the process of students “entering” language, they accept it passively; words, writing and translation are students”’ exit “language process, which lays the foundation for” writing “. Writing is a second language and one of the main indicators of students’ ability to use English. It is not only an important way to communicate ideas, emotional expressions and cultural exchanges, but also reflects the language ability, communication ability and thinking level of English. Therefore, English writing ability is an important index of students’ English professional ability and an important aspect of students’ English professional training. This study identified the following research tasks: according to the established measurement and evaluation indicators, the students’ writing ability was evaluated and the students’ writing ability was evaluated.
Keywords: Machine learning, neural network algorithm, IELTS writing, evaluation index
