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Design of College English Teaching Model under the Background of Artificial Intelligence + Big Data

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DOI: 10.23977/aetp.2024.080202 | Downloads: 6 | Views: 148

Author(s)

Dandan Wang 1

Affiliation(s)

1 Jining Normal University, Ulanqab, Inner Mongolia, 012000, China

Corresponding Author

Dandan Wang

ABSTRACT

As economic globalization develops and the people's cultural literacy level improves, English is more and more important in work and life. However, there are some common problems in today's college English teaching model (ETM), which are not conducive to students' improvement of English proficiency. Therefore, colleges urgently need to change the existing teaching methods and models. Artificial intelligence (AI) realized a high degree of intelligence of computer functions. Anthropomorphic thinking enabled computers to play a human role in teaching, intelligently guided students in oral language teaching, and promoted personalized teaching and automated management. BD realized the analysis of students' learning behavior, helped to find problems, timely improved learning behavior and teaching behavior, and improved course teaching. This paper will study the application of AI and BD technology in college ETM, and explore the effect of college English teaching after introducing AI and BD through a series of computing processes such as neural networks. The college ETM researched and designed in this paper was applied and tested in schools, and the results were obtained: the effect of college English teaching under the action of AI and BD has increased by 7.91%, students' learning efficiency and teaching satisfaction have been improved, and the attendance rate has also been improved. Attendance has also been guaranteed, and this technology has significantly promoted college English teaching.

KEYWORDS

Artificial Intelligence, Big Data, University English, Teaching Model

CITE THIS PAPER

Dandan Wang, Design of College English Teaching Model under the Background of Artificial Intelligence + Big Data. Advances in Educational Technology and Psychology (2024) Vol. 8: 8-17. DOI: http://dx.doi.org/10.23977/aetp.2024.080202.

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