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ỨNG DỤNG TRÍ TUỆ NHÂN TẠO TRONG HỌC TẬP VÀ NGHIÊN CỨU KHOA HỌC TẠI CÁC TRƯỜNG ĐẠI HỌC TƯ THỤC: CƠ HỘI, THÁCH THỨC

Primary research

#407

T1digested
Topic
Higher Ed Adoption
First seen
2026-07-16 23:33:02
Last seen
2026-07-16 23:33:02

Source raw items (1)

  • Semantic Scholar2026-07-16 23:31:52
    ỨNG DỤNG TRÍ TUỆ NHÂN TẠO TRONG HỌC TẬP VÀ NGHIÊN CỨU KHOA HỌC TẠI CÁC TRƯỜNG ĐẠI HỌC TƯ THỤC: CƠ HỘI, THÁCH THỨC

    The rapid development of Artificial Intelligence (AI), particularly generative AI, is creating profound changes to learning and scientific research in higher education. Besides benefits such as supporting knowledge access, improving information processing efficiency, and increasing research productivity, the use of AI also raises many issues related to cognitive dependence, the transparency of the academic process, and the risk of violating academic integrity. In this context, private universities, with their high autonomy, rapid technological adaptability, and intense competitive pressure, become typical environments for studying the impact of AI on the academic ecosystem. This article focuses on analyzing the current state of AI application in learning and scientific research at private universities, while clarifying the factors influencing the AI usage behavior of students and faculty. Based on a theoretical overview and recent empirical studies, this paper develops an integrated analytical framework to simultaneously consider three aspects: academic effectiveness, cognitive dependence, and the risk of academic integrity violations. The analysis results show that the use of AI is dual-faceted: it contributes to improving learning and research effectiveness while also posing a potential risk of diminishing independent thinking skills if appropriate guidance and control mechanisms are lacking. The study also indicates that AI governance policies in higher education need to shift from a technology control approach to developing responsible AI usage capabilities and ensuring academic integrity. The research results contribute to supplementing empirical evidence for the field of AI in higher education in Vietnam, and provide a reference basis for developing AI governance policies in private higher education institutions in the context of digital transformation.