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Construction and Application of a College English Blended Teaching System Based on Multi-Source Data Fusion

Hongyan Xi, Dongyan Sang

Source Title: International Journal of Information and Communication Technology Education (IJICTE)20(1)

ISSN: 1550-1876|EISSN: 1550-1337|EISBN13: 9798369324592|DOI: 10.4018/IJICTE.342083

MLA

Xi, Hongyan, and Dongyan Sang. "Construction and Application of a College English Blended Teaching System Based on Multi-Source Data Fusion." IJICTE vol.20, no.1 2024: pp.1-18. http://doi.org/10.4018/IJICTE.342083

APA

Xi, H. & Sang, D. (2024). Construction and Application of a College English Blended Teaching System Based on Multi-Source Data Fusion. International Journal of Information and Communication Technology Education (IJICTE), 20(1), 1-18. http://doi.org/10.4018/IJICTE.342083

Chicago

Xi, Hongyan, and Dongyan Sang. "Construction and Application of a College English Blended Teaching System Based on Multi-Source Data Fusion," International Journal of Information and Communication Technology Education (IJICTE) 20, no.1: 1-18. http://doi.org/10.4018/IJICTE.342083

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Abstract

By using modern data analysis techniques, this study aims to construct an innovative university English teaching effectiveness evaluation model based on particle swarm algorithm and support vector machine. The model is designed to improve assessment accuracy and personalization. The research process includes the methodology of data collection, preprocessing, model construction and evaluation. The experimental results show that the model can more accurately assess students' English learning effectiveness and provide customized suggestions for personalized education. This research is important for improving the quality of university English education, promoting personalized learning, and providing support tools for educational decision makers.