Integrating Fuzzy Logic into Green Pedagogy: An Intelligent Framework for English Language Teaching and Environmental Awareness

This research presents a novel approach to English language teach-ing by developing an intelligent framework that integrates fuzzy logic systems with green pedagogy principles. The study addresses the growing need for edu-cational methodologies that simultaneously enhance language proficiency and environmental consciousness. Through the implementation of a Mamdani-type fuzzy inference system, the framework processes multiple input variables—envi-ronmental awareness levels, language proficiency, and green vocabulary knowl-edge—to generate optimized teaching strategies tailored to diverse learner profiles. The system employs triangular membership functions and a comprehensive rule base of fifteen conditional statements to model the complex relationships between language acquisition and environmental education. Empirical validation demon-strates significant improvements in both linguistic competence and ecological literacy among participants compared to traditional teaching methods. This intel-ligent framework provides educators with a systematic tool for decision-making in green language pedagogy while accommodating the inherent uncertainty in edu-cational processes. The findings contribute to the emerging field of computational intelligence in sustainability education and offer practical implications for cur-riculum designers and language instructors seeking to incorporate environmental dimensions into language teaching practices.