Core Viewpoint - The rapid development of internet and artificial intelligence technologies is driving society into a "data-driven and intelligent empowerment" era, posing new challenges for ideological and political education in higher education institutions [1] Group 1: Challenges and Adaptations in Ideological Education - Youth students, as frequent users of network technology, are experiencing changes in their learning and interaction modes due to the widespread application of "data + algorithms," necessitating an expansion of educational space, optimization of content supply, and innovation in value guidance [1] - The algorithmic recommendation mechanism has led to a clear trend of information dissemination becoming more segmented, which, while improving matching efficiency, raises concerns about the coverage and value guidance of ideological education resources in the digital space [2] Group 2: Enhancing Visibility and Engagement - Higher education institutions need to increase the visibility, weight, and priority of ideological education content within algorithmic recommendation mechanisms, ensuring that mainstream values guide algorithms and enhancing the attractiveness and persuasiveness of educational content through data analysis and content optimization [3] - Collaboration with mainstream online platforms is essential to embed value weights in recommendation models and establish stable content delivery mechanisms, while also enhancing the construction and management of campus media matrices to facilitate the production and dissemination of educational content [3] Group 3: Intelligent Transformation of Educational Models - The shift towards a data-driven and interactive approach in ideological education requires a focus on student-centered strategies, utilizing real-time analysis of fragmented online behaviors to predict students' ideological dynamics and needs [4] - A balance between personalized and collective education is crucial, with the development of algorithmic models that integrate mainstream value information to guide students' cognitive processes and enhance emotional resonance [5] Group 4: Collaborative Ecosystem for Ideological Education - The innovation logic of ideological education in the digital age involves not only technological upgrades but also dynamic updates of educational concepts, promoting a systematic and ecological layout that encourages multi-party participation and resource sharing [7] - The development of an ecological approach to ideological education necessitates leveraging the advantages of different digital platforms and integrating online and offline educational activities to enhance the practical appeal and effectiveness of the education [8]