The application and challenge of big data in college English courses

With the increasing popularity of big data technology in the field of education, its application in college English courses and the corresponding challenges have become an important issue in education research. This study aims to explore the application of big data in college English teaching and assess its potential to improve teaching quality and learning outcomes. Data on teachers’ and students’ attitudes, knowledge level, and frequency of use of big data technology were collected through questionnaires. Based on these data, a predictive model was constructed to analyze the relationship between these factors and attitudes toward big data technology. The study found that the level of knowledge and the frequency of use had a significant impact on the attitudes of teachers and students. In addition, by evaluating the effectiveness of the model, we confirm its potential value in practical teaching applications. These findings are of great significance for understanding and improving the application of big data in college English education, and provide valuable insights for the development and application of educational technology in the future.

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Publication Details

Journal
Journal of Computational Methods in Sciences and Engineering
Published
2025-04-14
DOI
https://doi.org/10.1177/14727978251321630
Citations
2
Primary Topic
Educational Technology and Pedagogy
Type
article
Field-Weighted Citation Impact
4.96
Controls
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article

The application and challenge of big data in college English courses

Bing He, Xiaojing Huang, Arshad Abd Samad, Anqi Dou
2 citations
Journal of Computational Methods in Sciences and Engineering
Educational Technology and Pedagogy
4.96
article

The application and challenge of big data in college English courses

Bing He, Xiaojing Huang, Arshad Abd Samad, Anqi Dou
article en
2 citations

Abstract

With the increasing popularity of big data technology in the field of education, its application in college English courses and the corresponding challenges have become an important issue in education research. This study aims to explore the application of big data in college English teaching and assess its potential to improve teaching quality and learning outcomes. Data on teachers’ and students’ attitudes, knowledge level, and frequency of use of big data technology were collected through questionnaires. Based on these data, a predictive model was constructed to analyze the relationship between these factors and attitudes toward big data technology. The study found that the level of knowledge and the frequency of use had a significant impact on the attitudes of teachers and students. In addition, by evaluating the effectiveness of the model, we confirm its potential value in practical teaching applications. These findings are of great significance for understanding and improving the application of big data in college English education, and provide valuable insights for the development and application of educational technology in the future.

Journal of Computational Methods in Sciences and EngineeringVol. 25(3)
University of Science and Technology (YE), Yangon University of Economics (MM), Taylor's University (MY), Zhejiang Yuexiu University
Openalex Percentile: Top 6%
Educational Technology and Pedagogy
4.96
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