Research Progress and Future Prospects of the Digital and Intelligent Transformation of Ideological and Political Education

随着机器学习、人工智能、大数据等数智技术的迅猛发展，为破解精准识别学生需求、个性化施教、实时互动反馈等传统思想政治教育难题提供了有力支撑，思想政治教育数智化转型成为提升育人实效、回应时代诉求的必然趋势。学界围绕思想政治教育数智化转型的动力机制、价值意蕴、推进路径等核心议题展开深入探讨，智慧思政生态营造取得显著进展。随着技术的进一步发展与深化运用，亟需在夯实基础理论体系、强化实证研究支撑、促进跨学科深度融合等维度持续发力，以高质量推进思想政治教育数智化转型走深走实。With the rapid advancement of machine learning, artificial intelligence, big data, and other digital technologies, these advancements have provided robust support for addressing traditional challenges in ideological and political education, such as accurately identifying student needs, implementing personalized teaching, and providing real-time interactive feedback. The digital and intelligent transformation of ideological and political education has become an inevitable trend to enhance educational effectiveness and meet contemporary demands. Scholars have conducted in-depth discussions on core issues such as the driving mechanisms, value implications, and implementation paths of the digital and intelligent transformation of ideological and political education, achieving significant progress in creating a smart ideological and political education ecosystem. As technology continues to develop and be more deeply applied, it is crucial to continuously strengthen foundational theoretical systems, reinforce empirical research, and promote deep interdisciplinary integration to ensure high-quality and practical progress in the digital and intelligent transformation of ideological and political education.