Research on the Design of English Comprehensive Learning Activities Based on Deep Learning

• Published in: Mobile information systems Vol. 2022; pp. 1 - 7
• Main Authors: Wang, Tao, Gu, Yufang
• Format: Journal Article
• Language: English
• Published: Amsterdam Hindawi 21.06.2022; Hindawi Limited
• Subjects: Academic achievement; Algorithms; Artificial intelligence; Classification; Classrooms; Colleges & universities; Data mining; Deep learning; Education; Educational technology; English literature; Fuzzy logic; Interactive learning; Knowledge; Machine learning; Middle schools; Neural networks; R&D; Reading comprehension; Research & development; Secondary schools; Students; Study abroad; Teaching methods
• ISSN: 1574-017X; 1875-905X
• DOI: 10.1155/2022/4986792

To explore the application ways and effects of in-depth learning in English Teaching for Non-English Majors in Colleges and universities, 419 students are selected for the experiment, 205 students from grade 2018 were used as the reference group and 214 students from grade 2019 were used as the observation group to observe the effect of examination-oriented education and the impact of quality through in-depth learning. The performance of students of grade 2019 in examination-oriented education performance data and quality education performance data was significantly better than that of students of grade 2018, T < 10.000, P<0.01, which was statistically significant, Finally, it is found that the intelligent deep learning algorithm is applied to the analysis of the knowledge structure of non-English students’ English papers, and the application scenarios of the analysis results are widely developed, which is helpful to improve the English teaching effect of non-English students, improve students’ learning efficiency and reduce students’ pressure.