Research on the Construction of Diversified Integration between Industry and Education Course Content Based on Information-Based Artificial Intelligence

Abstract

Facing the challenge of the deep integration of educational digitalization and industrial intelligence, the traditional curriculum system has revealed its limitations in adapting to the rapid iteration of industries and the personalized needs of learners. This study focuses on the systematic construction of diversified integration between industry and education course content empowered by information-based artificial intelligence. By clarifying the application paradigm of intelligent technology in education and the core elements of the curriculum, it explains the integration logic of their two-way empowerment. Furthermore, it constructs a construction mechanism that includes reverse design based on a capability framework, intelligent integration of multi-source knowledge streams, and a dynamic generation path. It also proposes implementation dimensions such as human-machine collaborative development, personalized recommendation, and data-driven assessment. This research aims to provide a theoretical framework and practical reference for building an adaptive and forward-looking new generation of curriculum systems that integrate industry and education.