摘要
随着人工智能、大数据和算法技术的应用推进,思想政治教育开始展现出新的实践样态,即智能思政。智能思政以数据描述、数据挖掘、数据预测和算法推荐为手段,在教育者和受教育者之间搭建新桥梁。在智能思政实践中,存在着过度依赖数据导致片面追求工具理性、忽视价值理性的风险或倾向。因此,应当树立一种边界意识,在消除数据"偏见"的同时"透过数据看见人",即解蔽受教育者的虚假"在场",从而更好地处理"数据"与"人"的关系。
With the application of artificial intelligence,big data and algorithm technology,ideological and political education has begun to show a new form of practice,namely,intelligent ideological and political education.Intelligent ideological and political education builds a new bridge between educators and students by means of data description,data mining,data prediction and algorithm recommendation.However,there are some risks or tendencies in its practical application,such as excessive reliance on data leads to the one-sided pursuit of instrumental reason and neglect of value reason.Therefore,ideological and political educators should set up boundary consciousness to"see people through the data"while eliminating the"bias"of data,which is to say,we should uncover the false"presence"of the educated,so as to better deal with"data"and"person".
作者
张灿
刘培
ZHANG Can;LIU Pei
出处
《煤炭高等教育》
2020年第4期14-18,共5页
Meitan Higher Education
基金
中国矿业大学校级教学研究项目“案例式教学法(CBT)在《马克思主义基本原理概论》中的教学模式创新探索”(2018QN28)
江苏省哲学社会科学规划课题重大项目“思想政治教育学科建设与前沿问题研究”(14ZD010)。
关键词
智能思政
大数据
算法推荐
理性回归
intelligent ideological and political education
big data
algorithm recommendation
rational return
