学术探讨｜生成式人工智能驱动高校网络育人体系调适研究

Core Viewpoint - Generative Artificial Intelligence (GenAI) is significantly expanding the boundaries of cultural education in universities, reshaping operational methods and educational forms in the digital age [1] Group 1: Value Guidance - The introduction of GenAI into the university cultural education system requires a firm grasp of the correct political direction and value orientation [2] - Universities should integrate socialist core values and excellent traditional Chinese culture into all aspects of network culture construction to ensure that technology applications align with the fundamental task of moral education [2] Group 2: Subject Construction - The core goal of university cultural education is to promote comprehensive development through a human-machine collaborative education model [3] - Maintaining the subjectivity of teachers and students in the application of intelligent technology is essential, guiding them to form a cognitive and action path that enhances their comprehensive abilities and innovative awareness [3] Group 3: Content Restructuring - Content construction is fundamental to the effectiveness of network cultural education, requiring the use of GenAI to creatively transform the narrative and presentation of mainstream values [4] - Data analysis and intelligent recommendation technologies should be employed to create multidimensional "student portraits" and "ideological maps" that enhance the relevance and effectiveness of network cultural education [4] Group 4: Mechanism Support - A robust institutional framework is crucial for the sustainable development of university network cultural education, necessitating a collaborative governance system that aligns with educational goals [5][6] - The integration of GenAI into the educational process should be supported by a clear regulatory framework covering content generation, dissemination management, and data usage [6]