算法推荐赋能高校网络思想政治教育的“三重逻辑”

"Triple Logic"of Algorithm Recommendation Empowering Network Ideological and Political Education in Colleges and Universities

算法推荐是一种基于大数据分析和用户行为模式的新型人工智能技术,这一机制对高校网络思政教育的核心价值在于其能够个性化地为学生定制学习内容,基于学生的学习行为和偏好,系统地提供符合个人需求的教育资源;同时该技术具有鲜明的价值导向和意识形态属性,能够建立起用户与信息之间的二元关系,体现了信息传递的个性化、精准化和中介性等特征,这种个性化学习体验对于高校网络思想政治教育具有深远影响。但同时算法推荐也给高校带来了算法黑箱解构主流价值、信息茧房导致圈层分化、资本控制推送娱乐至上等危机,因此为破解算法推荐融入高校网络思想政治教育的困境,应以高校为阵地、以教师为主导合理运用算法技术,以学生为主体开展信息素养教育,以主流价值观涵养算法逻辑,以算法技术助推高校网络思政教学方法的多重聚合。

Algorithm recommendation is a new artificial intelligence technology based on big data analysis and user behavior patterns.The core value of this mechanism for online ideological and political education in colleges and universities lies in its ability to customize learning content for students individually and systematically provide educational resources that meet individual needs based on students'learning behaviors and preferences.At the same time,this technology has distinct value orientation and ideological attributes,and can establish a binary relationship between users and information,which embodies the characteristics of personalization,accuracy and intermediation of information transmission.This personalized learning experience has a far-reaching impact on online ideological and political education in colleges and universities.At the same time,however,algorithm recommendation also brings the mainstream value of algorithm black box deconstruction,information cocoon room leads to circle differentiation,and capital control pushes entertainment to the top.Therefore,in order to solve the dilemma of algorithm recommendation's integration into network ideological and political education in colleges and universities,we should take colleges and universities as the position,teachers as the leading factor,rationally use algorithm technology,carry out information literacy education with students as the main body,conserve algorithm logic with mainstream values,and promote multiple aggregation of network ideological and political teaching methods in colleges and universities with algorithm technology.