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

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.