摘要
将算法推荐融入思想政治理论课(以下简称“思政课”)实践教学基地数智化建设,是高职院校思想政治教育适应时代发展的必然选择。针对当前思政课实践教学基地数智化建设中的数字鸿沟、场域矛盾、范式失衡等问题,应遵循数据驱动、算法赋能、价值导向的技术逻辑,通过底层整体架构、中层多维融合、顶层优化推荐,打造思政课实践教学基地数智化新模式。
Integrating algorithm recommendation into the digital-intelligent construction of ideological and political theory course(hereinafter referred to as“ideological and political course”)teaching bases is an inevitable choice for adapting ideological and political education in vocational colleges to the development of the times.Addressing issues such as the digital divide,field contradictions,and paradigm imbalance in the current digital-intelligent construction of ideological and political course teaching bases,the paper proposes following the technical logic of data-driven,algorithm-empowered,and value-oriented approaches.By building a new model of digital-intelligent ideological and political course teaching bases through underlying integrated architecture,mid-level multi-dimensional integration,and top-level optimization recommendation,this exploration aims to create a new model for digital-intelligent construction.
作者
沈强
Shen Qiang(School of Marxism,Wuhu Vocational and Technical College,Wuhu,Anhui 241003,China)
出处
《石油化工管理干部学院学报》
2024年第4期62-66,共5页
Journal of Sinopec Management Institute
关键词
算法推荐
思政课
实践教学基地
数智化
algorithm recommendation
ideological and political course
teaching base
digital-intelligent