INNOVATIVE STRATEGIES AND EMPIRICAL ANALYSIS FOR THE DEEP INTEGRATION OF ARTIFICIAL INTELLIGENCE AND WEB FRONT-END COURSE TEACHING
Keywords:
Artificial intelligence, Web front-end, Curriculum integration, Teaching reform, Digital-intelligence educationAbstract
Against the backdrop of education's digital transformation and the construction of emerging engineering disciplines, this study addresses critical challenges in current Web front-end instruction, including outdated curricula, insufficient intelligent resources, lack of digital-intelligence empowerment in teaching models, and weak AI competencies among faculty. We propose a five-dimensional strategy for deep integration to achieve seamless fusion of AI throughout the entire teaching process. This approach significantly enhances the capabilities of both students and instructors, offering a replicable paradigm for the digital transformation of programming-related courses.References
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