Teaching Reform and Practice of the AI-Empowered Model in Web Front-End Development Courses

Abstract

The deep integration of artificial intelligence technology with new engineering education provides a brand-new path for the transformation of teaching models in computer-related courses in universities. In response to the problems existing in the traditional Web front-end development technology courses, we have constructed an AI-driven teaching reform model. This method first systematically reconfigures the teaching content through five dimensions (interest, problem, project, integration, and ideological education), and then designs a multi-dimensional guiding teaching system of “interest-driven, problem-driven orientation, project practice, interdisciplinary integration, ideological and political education”, integrating artificial intelligence technology throughout the entire classroom teaching and complementing it with a diversified process assessment system, aiming to improve the course quality and enhance students’ professional abilities. Teaching practice shows that this method effectively compensates for the shortcomings of traditional teaching, significantly improving students’ classroom participation, code development ability, and autonomous learning literacy, providing a replicable practical framework and theoretical reference for Web front-end and similar computer courses in the context of new engineering education.