Design and Application of English Cloud Teaching Platform Based on Artificial Intelligence Algorithm

In order to optimize the English learning environment and improve the teaching efficiency, this paper designs an English cloud teaching platform based on artificial intelligence algorithms. The platform integrates core algorithms such as deep learning and natural language processing, and can intelligently analyze students’ learning behaviors, ability levels and interest preferences, thus providing personalized learning paths and resource recommendations. The user module focuses on user experience and provides convenient learning management and progress tracking functions. The modules are designed according to the syllabus and cover a wide range of English learning content. The experiment confirmed the study performance, study behavior and satisfaction survey results of students in the experimental group and the control group, and the feedback from teachers also showed that the platform could provide teachers with more scientific and effective teaching guidance.

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Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.05.142
Citations
2
Primary Topic
Educational Technology and Pedagogy
Type
article
Field-Weighted Citation Impact
4.96
Controls
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article

Design and Application of English Cloud Teaching Platform Based on Artificial Intelligence Algorithm

Bei Yu, Yanru Li
2 citations
Procedia Computer Science
Educational Technology and Pedagogy
4.96
article

Design and Application of English Cloud Teaching Platform Based on Artificial Intelligence Algorithm

Bei Yu, Yanru Li
article en
2 citations

Abstract

In order to optimize the English learning environment and improve the teaching efficiency, this paper designs an English cloud teaching platform based on artificial intelligence algorithms. The platform integrates core algorithms such as deep learning and natural language processing, and can intelligently analyze students’ learning behaviors, ability levels and interest preferences, thus providing personalized learning paths and resource recommendations. The user module focuses on user experience and provides convenient learning management and progress tracking functions. The modules are designed according to the syllabus and cover a wide range of English learning content. The experiment confirmed the study performance, study behavior and satisfaction survey results of students in the experimental group and the control group, and the feedback from teachers also showed that the platform could provide teachers with more scientific and effective teaching guidance.

Procedia Computer ScienceVol. 262
Taishan University (CN)
Openalex Percentile: Top 5%
Educational Technology and Pedagogy
4.96
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