Abstract
This study uses new media technology and big data technology to build a teaching impact assessment model of university ideological and political theory based on new media and big data in order to enhance the effect of ideological and political teaching in colleges and universities. Furthermore, by specifying the instance distribution interval, this work explains the probable probability distribution of all instances of the tuple, ensuring the integrity of the data information of the clustering object and therefore boosting the algorithm’s clustering accuracy. Furthermore, this research constructs an intelligent system frame structure by combining the real teaching requirements of ideology and politics. Finally, from the viewpoints of new media teaching efficiency and teaching impact assessment, this research develops experiments to validate system functionalities. The experimental research results show that the teaching effect evaluation model of university ideological and political theory constructed in this study based on new media and big data has a good teaching effect, and the effect of ideological and political teaching evaluation also meets the actual teaching needs.
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