The Intelligent Communicative Language Teaching Model with Artificial Intelligence for English as a Foreign Language (EFL) Learners

This study aims to develop and evaluate an intelligent communicative language teaching model that integrates artificial intelligence for English as a Foreign Language learners. The research employed a developmental design comprising three phases: synthesizing relevant literature, designing the model, and conducting an expert evaluation. The proposed model consists of four main components: inputs, including objectives, content, learners, instructors, and artificial intelligence tools; processes, integrating communicative language teaching steps with speech recognition technology; evaluation, covering language skills, achievement, and satisfaction; and feedback for continuous improvement. Two research instruments were used: the intelligent communicative language teaching model and an expert evaluation form. Nineteen specialists in educational technology, language teaching, and artificial intelligence assessed the model using purposive sampling. The results showed that the model was rated at the highest level of appropriateness across all components, indicating strong feasibility for implementation. As this study represents a developmental stage, the evaluation focused on expert validation to ensure reliability before classroom application. Future research should extend to empirical testing with learners to confirm effectiveness.