Các yếu tố ảnh hưởng đến hiệu quả học tập của sinh viên trong môi trường học tập có sử dụng trí tuệ nhân tạo: Nghiên cứu tại Khoa Tài chính - Ngân hàng, Trường Đại học Mở Hà Nội

Tóm tắt

The rapid development of artificial intelligence (AI), especially generative AI, is creating many opportunities but also posing numerous challenges for students engaging in higher education. This study aims to analyze the factors affecting students’ learning effectiveness in the Faculty of Finance and Banking, Hanoi Open University, in an AI-based learning environment. The study employs a quantitative method with survey data from 183 students, processed using Cronbach's Alpha, exploratory factor analysis (EFA), and multiple linear regression. The results show that all five factors namely, level of AI use, perceived usefulness of AI, AI skills, self-learning skills, and academic ethics, have a positive influence on student learning effectiveness. Particularly, AI skills have the strongest influence, followed by self-learning skills, level of AI use, perceived usefulness of AI, and academic ethics. This paper contributes to the empirical evidence regarding factors related to AI use that influence student learning outcomes in the context of higher education in Vietnam.