Adaptive assessment in English language teaching: implementing fuzzy logic for intelligent evaluation

This study explores the integration of fuzzy logic in an adaptive assessment system for English language teaching (ELT), aimed at providing personalised and dynamic evaluations of students' language proficiency. The system evaluates various linguistic components such as grammar, vocabulary, fluency, and pronunciation, by converting these inputs into fuzzy sets and applying a fuzzy inference system to assess overall proficiency. The study evaluates the system through pilot testing, accuracy comparison with traditional evaluation methods, and usability testing. The results demonstrate a high correlation (r = 0.92) between the fuzzy logic-based scores and traditional human evaluations, as well as strong test-retest reliability (r = 0.93), supporting the system's validity and consistency. This study contributes to the field of adaptive language assessment by demonstrating the potential of fuzzy logic in providing personalised, reliable, and efficient evaluation systems in ELT.