Evaluating the Effectiveness of <scp>AI</scp> ‐Driven Approaches on <scp>EFL</scp> Learners' Expository Writing Skills

ABSTRACT The integration of artificial intelligence (AI) into educational settings has transformed language learning methodologies, particularly for English as a Foreign Language (EFL) learners. This study evaluates the effectiveness of AI‐driven interventions—specifically real‐time grammar enhancement, comprehensive writing analysis, and contextual language fluency—on improving EFL learners' expository writing skills. Tools such as Grammarly, ProWritingAid, and Ginger Software were employed to provide personalized feedback and adaptive learning pathways. Data were collected through a pretest‐posttest experimental design involving 291 EFL postgraduate students, who were randomly assigned to experimental and control groups. Quantitative data were analyzed using statistical methods including ANOVA and multiple comparisons to assess improvements in writing performance and cognitive load Qualitative data from participant interviews and surveys were thematically analyzed to explore perceptions of AI tool effectiveness. The results demonstrated significant improvements in writing performance and reduced cognitive load among participants using AI tools compared to traditional instructional methods. Qualitative feedback indicated enhanced learner motivation and engagement, as well as increased confidence in writing tasks. The findings underscore the transformative potential of AI in language education, suggesting its strategic integration can enhance writing proficiency and meet the evolving needs of EFL learners. The study contributes to the development of best practices for leveraging AI technologies in educational contexts and highlights areas for future research into the long‐term impacts of AI interventions on language learning.