大数据赋能高校思政课:价值旨向、结构要素及实践进路

Big Data Empowers the Value Orientation,Structural Elements and Practical Approach of Ideological and Political Courses in Colleges and Universities

大数据的加速发展深刻改变了信息与知识生产、传播和获取模式,改变了思考、学习与互动的方式,更影响了价值认可、内化与认同的机制,凸显了高校思政课在析事、说理、触情、导行等方面的转型困境,亟待借助现代信息技术的力量实现迭代。以大数据赋能,可有效助推高校思政课人本化、精准化和智慧化发展,从而有效提升课程的针对性、有效性和亲和力。大数据赋能高校思政课的结构要素包括以数析事,增强高校思政课叙述力;以数明理,增强高校思政课解释力;以数触情,增强高校思政课感染力;以数导行,增强高校思政课转化力。而实现上述目标与愿景,需要广用数言数语,按数索骥;精用数事数力,循数明理;巧用数场数景,喻数于情;潜用数测数评,以数导行。

The accelerated development of big data has profoundly innovated the mode of knowledge production,dissemination and acquisition,and changed the way of thinking,learning and interacting,college ideological and political courses faces difficulties of analyzing things,explaining the truth,touching emotions and guiding behavior.It is urgently needed to use big data to achieve human-oriented,precise and intelligent development.The structural elements of using big data in college ideological and political courses include analyzing affairs with data to enhance the narrative power of college ideological and political courses;using data to explain the truth and enhance the interpretation of courses;using data to cause emotional resonance and enhance the appeal of courses;using data to guide students behavior and enhance transformation.To achieve the above requirements,we need to use data to find clues,explain the truth,induce emotion and guide behavior.