复杂问题的主动式应对——贝叶斯方法对思想政治教育大数据实践的启示

On Handling Complex Problems Initiatively——The Inspiration of Bayesian Method to the Practice of Big Data in Ideological and Political Education

大数据时代下的思想政治教育面临着复杂多变的局面。能否在教育实践中使用好大数据,是能否主动应对复杂局面的关键所在。贝叶斯方法主张将先验信息与数据信息结合起来分析。这种思维有利于充分发挥思想政治教育主体知识的主导作用,在防止大数据技术异化的前提下和尊重大数据知识发现成果的同时,促进二者形成"以人为本"基础上的统一与融合,进一步平衡大数据思想政治教育所面临"唯数据论"与"唯经验论"之间的冲突,为思想政治教育使用大数据解决复杂问题提供了理论思路和实践借鉴。

The ideological and political education will be faced with more changeable situations under the BigData era. Therefore,making proper use of big data in practice becomes the key to handle complex situations initiatively. The Bayesian method advocates to combine the analysis of the prior information with the data information,which gives full play to the leading role of the main knowledge of the ideological and Political Education,respects the achievements of big data knowledge discovery on the premise of preventing big data technology alienation,and promotes the unity and integration of main knowledge and data knowledge on the basis of ＂ human-oriented ＂. This can not only further balance the conflicts between ＂ only data theory ＂ and ＂ only empiricism＂ in ideological and political education at the age of Big Data,but provide theoretical thinking and practical reference for ideological and political education to solve complex problems with big data.