The Impact of AI-Assisted Teaching on Students’ Comprehension and Interest in the course of “An Introduction to Economics” at HUIT

This study examines the impact of artificial intelligence (AI)-assisted teaching on student learning outcomes and engagement in an introductory economics course at Ho Chi Minh City University of Industry and Trade (HUIT). Conducted over a six-month period (January–June 2025), the research involved 50 undergraduate students participating in a blended learning model that integrated AI tools such as ChatGPT, adaptive quizzes, and AI-generated case studies. Employing a mixed-methods approach, the study combined pre- and post-instruction comprehension tests, Likert-scale surveys, and focus group interviews to evaluate the cognitive and affective outcomes of AI integration. Quantitative findings indicated a statistically significant improvement in students’ comprehension scores, particularly in topics requiring abstract reasoning and visual interpretation. Survey results demonstrated enhanced motivation and interest, with over 80% of students reporting that AI tools contributed positively to their learning experience. Qualitative data revealed that students viewed AI as a responsive and non-judgmental resource that supported self-paced learning and encouraged curiosity. The findings suggest that AI-assisted instruction, when thoughtfully implemented, can enhance both academic performance and student engagement in economics education. The study contributes to emerging research on digital transformation in Vietnam education and offers practical implications for AI integration in pedagogical design.