Data Analytics in Language Education: Assessing the Effectiveness of an AI Learning Platform*

Purpose: This study investigates the effectiveness of an artificial intelligence (AI)-based language learning platform in enhancing English proficiency among undergraduate students. Research design, data and methodology: A quasi-experimental design was employed to compare the learning outcomes of students using the AI platform with those receiving traditional instruction. Quantitative data, including exam scores and platform-generated analytics, were analyzed to assess progress over a single academic semester. Results: Students who used the AI-powered platform consistently outperformed those in the control group, demonstrating significantly higher test scores and more stable progress throughout the semester. The findings suggest that integrating adaptive AI learning technologies into tertiary English education can lead to measurable improvements in student performance. The study underscores the pedagogical potential of data-driven instructional approaches and supports the incorporation of AI tools to enhance learner engagement and academic outcomes.