The impact of Artificial Intelligence (AI) applications on teaching quality and learner satisfaction at foreign language centers in Ho Chi Minh City

Abstract

In the context of the strong educational digital transformation, mastering digital platforms and the application of Artificial Intelligence (AI) at foreign language centers in Vietnam, especially in Ho Chi Minh City (HCMC), is becoming an inevitable trend. Many nations globally have identified education as a top priority sector for AI application. In the United States, according to the 2024 educational technology report, 60% of teachers use AI tools in teaching management. In South Korea, since 2023, the Ministry of Education has piloted the use of AI for primary school students and recorded that 30% of students achieved effectiveness in personalization. In Vietnam, the Ministry of Education and Training is implementing two crucial projects: one involves digital transformation and AI application in teaching and learning; the second is to establish English as the second language in schools. However, quantitative studies assessing the impact of AI on teaching quality and learner satisfaction at foreign language centers in HCMC remain limited. This research will construct and propose a Structural Equation Model (SEM) to test the relationship between AI application, teaching quality, and learner satisfaction. Drawing upon the SERVQUAL theory, TAM, and international research on AI in education, the study proposes four hypotheses regarding the direct and mediating effects among the variables. The paper is expected to provide a crucial reference framework for foreign language centers in their strategy to integrate AI into teaching effectively, humanely, and sustainably.