Exploration and Practice of AI-Empowered "Four-in-One" New Paradigm for Application-Oriented Talent Cultivation: Ideology, Specialty, Innovation, and Competition

In the era of artificial intelligence, the cultivation of application-oriented talents in higher education is undergoing a fundamental transformation from the traditional knowledge-centered model to a competency-oriented one. Aiming at the prominent pain points in the training of computer majors in application-oriented universities, such as the disconnection between ideological and political education and professional education, the separation of theoretical teaching and practical application, the low efficiency of innovation and entrepreneurship education, and the lack of organic integration between disciplinary competitions and daily teaching, this study explores and constructs an AI-empowered "Ideology, Specialty, Innovation, and Competition (ISIC)" four-in-one talent cultivation paradigm. Based on the analysis of national policy guidance and the current research status of talent cultivation at home and abroad, this paper systematically expounds the core connotation and inherent advantages of the ISIC paradigm, and identifies the key problems in its implementation, including the mismatch between curriculum system and industrial demands, the shortage of practical teaching resources and interdisciplinary faculty, the homogenization of evaluation system, and the emerging risks of technological ethics. Furthermore, targeted implementation plans are proposed from four dimensions: the construction of AI-empowered integrated curriculum system, the establishment of AI-driven practice and competition incubation platform, the cultivation of interdisciplinary faculty team, and the improvement of support mechanism and resource supply system. The practical application results show that this paradigm effectively improves the precision of education and teaching, enhances the practical and innovative abilities of students, optimizes the efficiency of talent cultivation, and strengthens the professional adaptability and employment competitiveness of graduates. It provides a feasible and replicable implementation path for the reform and innovation of application-oriented talent cultivation in the digital era, and also offers a reference for the deep integration of AI technology and higher education teaching reform.