The Effect of AI-Driven Platforms on Medical Students’ Retentionof English Medical Terminology in EMP Courses

The study investigated how artificial intelligence (AI)-driven platforms affect medical students’ ability to retain medical terms in English for Medical Purposes courses at Nguyen Tat Thanh University. There were 63 students participating in the study, assigned to two groups: an experimental group with 32 members and a control group with 31 members. Employing a quasi-experimental study, the researchers used pre tests, post-tests and semi-structured interviews to collect data. The findings revealed that the experimental group demonstrated better retention rate than the control group. Moreover, the students found the artificial intelligence tools motivating, user-friendly and effective in helping them remember difficult medical terms. These research findings indicate that AI-driven platforms can be integrated into the curriculum for English for Medical Purposes courses to improve students’ learning outcomes.

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Publication Details

Journal
Journal of Science and Technology
Published
2026-10-29
DOI
https://doi.org/10.55401/4n36d111
Primary Topic
English Language Learning and Teaching
Type
article
Field-Weighted Citation Impact
0.00
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article

The Effect of AI-Driven Platforms on Medical Students’ Retentionof English Medical Terminology in EMP Courses

Huu Ngoc Nguyen, Thi Nhu Uyen Ho
Journal of Science and Technology
English Language Learning and Teaching
article

The Effect of AI-Driven Platforms on Medical Students’ Retentionof English Medical Terminology in EMP Courses

Huu Ngoc Nguyen, Thi Nhu Uyen Ho
article en

Abstract

The study investigated how artificial intelligence (AI)-driven platforms affect medical students’ ability to retain medical terms in English for Medical Purposes courses at Nguyen Tat Thanh University. There were 63 students participating in the study, assigned to two groups: an experimental group with 32 members and a control group with 31 members. Employing a quasi-experimental study, the researchers used pre tests, post-tests and semi-structured interviews to collect data. The findings revealed that the experimental group demonstrated better retention rate than the control group. Moreover, the students found the artificial intelligence tools motivating, user-friendly and effective in helping them remember difficult medical terms. These research findings indicate that AI-driven platforms can be integrated into the curriculum for English for Medical Purposes courses to improve students’ learning outcomes.

Journal of Science and TechnologyVol. 9(10)
Trường ĐH Nguyễn Tất Thành (VN)
Openalex Percentile: Top 6%
English Language Learning and Teaching
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