Advancing an ecological framework for English language teaching in web-based environments
Abstract
As English language teaching (ELT) adapts to the digital age, web-based environments present new challenges for achieving an ecologically balanced instructional ecosystem. Applying an educational ecology framework, this study examines the structural and functional dynamics within web-based ELT, viewing the digital classroom as a biomechanical system where information flow, interaction forces, and adaptation mechanisms play crucial roles. By integrating Data Mining (DM) technology, the study evaluates ELT efficiency from an ecological standpoint, aiming to enhance both student engagement and learning outcomes through optimized instructional dynamics. Findings indicate that the applied algorithm achieves an accuracy of 95.27%, with system stability maintained above 90% under high parallel processing loads, demonstrating the robust performance of this approach. Ultimately, this paper contributes to the development of an ecologically balanced, web-based ELT model, supporting educators in creating adaptable, resilient digital learning environments.
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