实现新时代思政教育数智化转型

Group 1 - The core viewpoint emphasizes that data-driven approaches in ideological and political education are essential for digital transformation, marking a shift towards intelligent and precise education methods [1] - Big data technology is not merely a tool but a core driving force that reconstructs the logic of ideological education in higher education, enhancing teaching effectiveness and adapting to the needs of the new era [2] - Current challenges in higher education ideological education include reliance on traditional teaching methods, low student engagement, and inadequate data collection methods, which limit the depth of data analysis and its application in decision-making [3] Group 2 - Proposed innovative practices for ideological education include establishing new data integration mechanisms, creating individual student profiles through systematic data collection, and utilizing big data and AI to predict academic and psychological needs [4] - A new paradigm for nurturing students is suggested, focusing on a data-driven systematic training system that transforms traditional content into digital resources, promoting a shift from knowledge transmission to capability development [5] - The importance of resource sharing and collaboration is highlighted, advocating for a unified data governance platform to break down silos, enhance data sharing, and improve the quality of ideological education [6]