Speaker
Description
This article proposes an English language teaching model integrated with Artificial Intelligence (AI) for military schools, aiming to enhance language proficiency in the context of globalization and defense integration. In response to the limitations of traditional methods—such as lack of personalization and underutilization of technology—the model incorporates AI tools including language assistants, speech recognition, automated error correction systems, and adaptive learning platforms. The objective is to improve both general English and military-specific English skills through a learner-centered approach, using real-life scenarios and specialized terminology to increase practical application. The article analyzes the theoretical foundations, model structure, implementation conditions, and evaluates the benefits and challenges within modern military education. Based on this, recommendations are made regarding teacher training, technological infrastructure development, and an implementation roadmap to promote effective application of the model.
Biography
Mr. Vu Dinh Luc, Mr. Vu Van Tinh, and Mr. Ngo Van Binh are lecturers at the Faculty of Social Sciences and Humanities, Tran Dai Nghia University, located at 189 Nguyen Oanh Street, Ward 10, Go Vap District, Ho Chi Minh City. Holding Master's degrees, they actively participate in teaching and developing training programs tailored to the military education environment in Vietnam.
Their primary areas of research focus on the social sciences and humanities. With many years of teaching experience, they have contributed to various initiatives aimed at modernizing teaching methods and enhancing learner engagement through technology. The authors also regularly participate in professional development programs and academic conferences both nationally and internationally.
Currently, the team is teaching international students from Laos and Cambodia using both Vietnamese and English, integrating AI into the instruction process to suit the military school context. This approach aims to bridge the gap between traditional pedagogy and the learning demands of the digital age.
