Big Data-Driven English Ecological Classroom Teaching Model: Enhancing Student Performance and Engagement

Kun Wang
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Kun Wang: Shangqiu University, China

International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 2025, vol. 20, issue 1, 1-26

Abstract: This study investigates the development and implementation of a big data–driven English ecological classroom teaching model, aiming to reform university English instruction in alignment with contemporary technological advancements. The conventional teaching framework, often limited to textbooks and in-class activities, has been shown to inadequately cultivate students' practical language skills. By leveraging extensive data resources, this new model provides a richer array of learning materials and practice opportunities. The research demonstrates significant improvements in student performance and engagement; participants in the experimental program saw an average improvement of 9 points in standardized vocabulary test scores (p = 0.003), with 52% reporting increased interest in English vocabulary learning. This paper underscores the importance of integrating big data into education, not only enhancing academic achievement but also stimulating intrinsic motivation among learners.

Date: 2025
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