learner-autonomy
Filtering by topic learner-autonomy(2)Clear all filters
- PaperSystemForthcoming · 1 Aug 2026
Navigating language learning choices: How Chinese students adapt out-of-school English learning choices in a constrained EFL context
Yaqing Shi, Kevin Wai Ho Yung
Chinese students adapt their out-of-school English learning choices in a constrained EFL context, revealing how learners navigate language learning options.
- PaperOpenAlex — TESOL research22 Jul 2026
ENHANCING FOREIGN LANGUAGE TEACHING METHODOLOGY THROUGH ARTIFICIAL INTELLIGENCE: A CASE STUDY OF ENGLISH LANGUAGE LEARNING
Farmonova Naimakhon Furkat kizi
AI tools like intelligent tutoring systems and adaptive learning platforms significantly improve vocabulary acquisition, communicative competence, and learner autonomy in English language teaching, though challenges such as teacher readiness and ethical concerns persist.
Original abstract
Artificial Intelligence (AI) is rapidly transforming educational practices, particularly in the field of foreign language teaching. This study explores how AI can enhance English language teaching methodology in higher education. Using a mixed-method research design, the study evaluates the impact of AI-based tools such as intelligent tutoring systems, natural language processing applications, and adaptive learning platforms on students’ language proficiency. The findings reveal that AI significantly improves vocabulary acquisition, communicative competence, and learner autonomy. However, challenges related to teacher readiness, infrastructure, and ethical considerations remain. The study contributes to the development of modern AI-based pedagogical frameworks.