以数为媒促进红色文化与思政教育深度耦合

Core Viewpoint - The integration of red culture into ideological and political education in universities is essential for enhancing educational quality and fostering a sense of belief among students, while also promoting the inheritance of red genes [1] Group 1: Systematic Integration of Red Culture Resources - Digital technology enables the systematic and comprehensive organization of red culture resources across different regions, transforming them from isolated storage to a structured supply model [2] - The establishment of a national-level "Red Culture Digital Resource Library" is proposed to categorize and digitize dispersed red culture resources, facilitating easy access and retrieval [3] Group 2: Innovation in Ideological Education Models - The traditional one-way teaching model is inadequate for contemporary students, who prefer interactive and immersive learning experiences; digital technologies can create engaging environments for red culture education [4] - Utilizing technologies like VR and AR can enhance the learning experience by providing interactive and immersive educational scenarios [4] Group 3: Extending Educational Scenarios - Digital dissemination allows for the sharing of red culture resources across regions and institutions, creating a multi-dimensional ideological education environment [5] - Online platforms can host various modules such as cloud lectures, exhibitions, and volunteer activities to engage students in red culture [5] Group 4: Offline Integration and Practical Applications - The integration of digital technology in campus spaces can create an immersive red culture educational atmosphere, with interactive screens and digital reading areas [6] - Local red resources can be utilized to develop digital navigation systems for field studies, enhancing the depth of learning experiences [6] Group 5: Comprehensive Coupling of Red Culture and Ideological Education - Achieving deep integration of red culture and ideological education requires a multi-faceted approach, focusing on resource reconstruction, teaching innovation, and scenario extension [7] - Future efforts should leverage AI and big data for precise interpretation and intelligent resource delivery, while fostering a collaborative educational mechanism [7]