高校思想政治理论课教学内容与大数据技术深度融合创新路径探索

Exploration on the Innovation Path of Deep Integration of Teaching Content in Universities’Ideological and Political Theory Courses with Big Data Technology

高校思想政治理论课教学内容与大数据技术在功能和效果的高度融合上面临着时代挑战,高校思想政治理论课教学内容数字化“量”与大数据“质”之间,教学内容被动式灌输与大数据主动式输入之间,教学内容浓缩化、碎片式、拼接型与大数据传播信息广泛性、链接式、互动化之间存在着巨大的差异和距离。在大数据的时代机遇面前,高校思想政治理论课可以从大数据核心特征、大数据实用化过程以及大数据信息传播规则入手,利用大数据的内容生产与传播技术改良教学内容的编排逻辑,实现教学内容的分众共享,把控教学内容的话语权方向。为此,依托“协调、开放和共享”的创新发展理念,遵循大数据内容生产规律,运用大数据技术改变内容生产方式并借鉴大数据C2B定制模式,以优化教学内容动态格局,实现教学内容双向互动,并推进教学内容分群定制。

The teaching content of ideological and political theory course in universities is faced with the challenge of highly integrated with big data technology in terms of function and effect.There are huge differences and distances between the digitized“quantity”and the“quality”of big data between the passive indoctrination of teaching content and the active input of big data,and between the concentrated,fragmented and jointed teaching content and the extensive,linked and interactive big data transmission information.Faced with the opportunity of the era of big data,the ideological and political theory courses in universities can start from the core characteristics of big data,the practical process of big data and the rules of big data information dissemination,improve the layout logic of teaching content,realize the sharing of teaching contents and control the direction of discourse power of teaching contents.Therefore,relying on the innovative development concept of“coordination,openness and sharing”,the production rules of big data content should be followed,using big data technology to change the content production mode and learn from the big data C2B customization mode,optimizing the dynamic pattern of teaching contents,realizing two-way interaction of teaching contents,and promoting the grouping and customization of teaching contents.