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Although most researchers have mentioned the effects of artificial intelligence (AI) on EFL learners’ learning and test score improvement, the number of studies about using AI tools to enhance first-year English majors’ test scores in English language theory is limited, especially in Vietnam and at HUFLIT (Ho Chi Minh University of Foreign Languages - Information Technology). This study aimed at investigating AI effects on first-year English majors’ test scores of basic English linguistics. Mixed research methods were used in the study with 120 out of 200 participants, survey questionnaires, pre- and post-tests, an AI-using training course, and a semi-structured interview. SPSS and the structured interview were used to get the data. Findings indicated that the AI use training course has had a significant improvement on test scores among three levels of proficiency, especially for the poor learners. Positive attitudes about the AI training course were recognized and welcomed, which unfolds a suitable recommendation to AI use as a tool for enhancing test score achievement in the English language theory course.
Keywords: test score improvement, artificial intelligence (AI), English language theory, training to AI use, HUFLIT
