Hệ thống thông tin quản lí hỗ trợ người học tích hợp trí tuệ nhân tạo trong giáo dục đại học: Cơ sở lí luận và mô hình đề xuất

Tóm tắt

In the context of the digital transformation of higher education and the rapid development of artificial intelligence, the need to innovate student management and support practices has become increasingly urgent. Existing management information systems in many higher education institutions remain largely at the stage of data digitization, lacking sufficient capabilities for integration, analysis, and prediction to effectively support students and academic administrators. This paper aims to systematize the theoretical foundations of student support management information systems in higher education and to analyze the role of artificial intelligence in support personalization, learning risk prediction, and managerial decision support. Based on a comprehensive literature review and a two-round Delphi expert consultation, the study proposes an artificial intelligence-integrated student support management information system model that is appropriate for the contemporary higher education context. The findings contribute to clarifying the theoretical framework and provide a reference model for further research and practical implementation in higher education institutions.