算法推荐赋能高校思想政治教育数字化转型:耦合逻辑、问题透视与实践路径

Digital Approach to Ideological and Political Education Empowered by Algorithm Recommendation in Colleges and Universities:Coupling Logic,Problems and Practical Path

算法推荐作为信息传播的前沿技术,与高校思想政治教育数字化在教育主体、教育介体和教育环体方面存在着主体互融共通、要素延异互构和供求精准契合的深度耦合。然而,算法推荐在赋能思想政治教育数字化转型过程中,也在要素泛在、数字鸿沟和结构失衡等方面存在数字主客体关系失调、数字能力迭代延迟、数字内容固化圈层等问题。高校要充分利用算法推荐带来的智能化、虚拟化和信息化实践范式,以数字素养统合价值理性,以算法能力融合数字生态,以内容供给优化算法推荐,推动高校思想政治教育在数字化时代背景下的人本共识、技术重构和协同优化,实现思想政治教育数字化转型的高质量发展。

Algorithm recommendation,as a cutting-edge technology for information dissemination,has a deep coupling connection with subject commonality,element extension and mutual construction,and precise matching of supply and demand in terms of education subjects,medium and environment of the digital approach to ideological and political education in colleges and universities.However,in empowering the digital approach to ideological and political education,algorithmic recommendations also face such problems as imbalanced relationships between digital subjects and objects,delayed iteration of digital capabilities,and solidified circles of digital content in terms of ubiquitous elements,digital divide,and structural imbalance.Making the most of the intelligent,virtual and information-driven paradigm of practice brought about by algorithmic recommendations,higher educational institutions should integrate value rationality with digital literacy,combine digital ecology with algorithmic capabilities,optimize algorithmic recommendations with content supply,and promote humanistic consensus,technological reconstruction and collaborative optimization of ideological and political education in the digital era for a high-quality digital approach to ideological and political education.