Published in Data Science and Engineering (DSE) Record 2025 Vol. 6 No. 1 pp. 357-364
Abstract
This research develops an English learning platform that utilizes a combination of three machine learning models for grammatical topic classification in language assessment. English serves as one of the most crucial languages in today's world, particularly in education, work, and communication. However, learning and developing English language skills remains a significant challenge for many learners, especially in countries where English is not the primary language. Firstly, this independent study aims to address these challenges by developing a comprehensive English learning platform that incorporates advanced machine learning techniques. Secondly, the platform employs three distinct machine learning approaches: facebook/bart-large-mnli, Logistic Regression, and DeBERTa for automated grammatical topic assignment to examination questions. Finally, the empirical results demonstrate that the developed platform effectively enables users to assess their English proficiency according to the CEFR (Common European Framework of Reference for Languages) standards, while providing appropriate skill evaluation across various grammatical topics.