Design of College Oral English Intelligent Online Course Based on Big Data Analysis

Xiaohui Zhang

2025

Abstract

The online course teaching of spoken English intelligence in colleges and universities has the characteristics of big data such as a large number of registered users, massive real data and dynamic data analysis. From the educational point of view, the convenient access to information in the era of big data brings opportunities for educational reform, especially the technological progress brought by big data is of great significance to educational model innovation. The effective introduction of big data technology not only helps to improve the construction quality and use efficiency of curriculum resources, but also helps to optimize the research and development mechanism of curriculum resources, so it has great research and promotion value. In intelligent online courses, students' dominant position, which has been neglected by traditional classrooms, has been paid attention to again. The online intelligent course emphasizes the correspondence and cooperation between teaching and learning, emphasizes the degree of transformation of students' oral English knowledge, and requires oral English teaching to serve the improvement of students' ability. Through big data technology, this paper analyzes and grasps each student's oral English learning preference and learning progress, which can stimulate students' interest in oral English learning and realize differentiated oral English teaching.

Paper Citation

in Harvard Style

Zhang X. (2025). Design of College Oral English Intelligent Online Course Based on Big Data Analysis. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 134-139. DOI: 10.5220/0013536800004664

in Bibtex Style

@conference{incoft25,
author={Xiaohui Zhang},
title={Design of College Oral English Intelligent Online Course Based on Big Data Analysis},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={134-139},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013536800004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Design of College Oral English Intelligent Online Course Based on Big Data Analysis
SN - 978-989-758-763-4
AU - Zhang X.
PY - 2025
SP - 134
EP - 139
DO - 10.5220/0013536800004664
PB - SciTePress