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Issue title: Impact of Intelligence Methodologies on Education and Training Process
Guest editors: Vijayalakshmi Saravanan
Article type: Research Article
Authors: Li, Boa | Su, Zheqianb; *
Affiliations: [a] Foreign Language Teaching and Research Institute, Jilin University of Finance and Economics, Changchun, Jilin, China | [b] Foreign Language Department, Changchun University of Chinese Medicine, Changchun, Jilin, China
Correspondence: [*] Corresponding author. Zheqian Su, Foreign Language Department, Changchun University of Chinese Medicine, Changchun, Jilin, China. E-mail: zheqiansu@tutanota.com.
Abstract: “College English teaching guide” puts in forth unique challenges and needs for College teaching skills of English. It is pressing to cultivate innovative talents with quality writing in English. Teaching in English, as a subject to check the mastery of students’ English knowledge. The successful instructional project of English writing is an assurance and support smooth growth of English writing. It can make education get double the efforts, and allow the students development.’ writing ability y, but in fact, the current situation of structural design of writing English in college is not optimistic. With the rise of “Web in addition to”, varying backgrounds have experienced emotional changes. “Web in addition to training” has become a pattern of advancement, which has brought new chances and difficulties for the educating and learning of College English composition. This research first describes the research status of data mining and College English writing at places of abroad and input the future the content of research and methods of research. Taking college English writing teaching as the research object, the association rules algorithm in data mining is applied to analyze the correlation factors of students’ writing performance and provide decision-making suggestions for teachers’ teaching.
Keywords: Data mining, English writing, teaching, association rules, internet plus
DOI: 10.3233/JIFS-189366
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3263-3269, 2021
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