Research on the Integration Path of Human-Machine Collaboration and Community Consciousness Education in the "Corporate Culture" Course in Universities

Abstract

As the curriculum system in universities continuously evolves towards intelligence and collaboration, how to effectively integrate human-machine collaborative teaching with community consciousness education in the "Corporate Culture" course has become an important issue for improving educational quality and deepening the function of education. This paper takes the "Corporate Culture" course in universities as the research object and explores basic issues such as the course content system and educational function, the logic of human-machine collaborative teaching, and the reshaping of learners' roles. It further analyzes the cognitive structure of community consciousness education and the course delivery path. Based on this, the study proposes a design plan for the integration path, which is based on dynamic embedding, goal alignment orientation, and structural feedback mechanisms, and constructs a course operation mechanism that integrates human-machine systems with identity education content. This paper aims to address the transformation demands of university course educational functions in the digital education environment and provides a theoretical basis and practical insights for the construction of organizational culture education and value identity under intelligent teaching platforms.