Big Data Assisted Online Teaching Platform for Ideological and Political Theory Course in Universities

To accurately grasp the characteristics and needs of the object, and enhance the pertinence and effectiveness of evening teaching of Ideological and political theory course, this paper designs an online teaching platform assisted by big data technology. According to the actual needs of the network teaching model, we make the overall planning and design of the functional modules of the platform. Then, in the key module of user classification and location, feature sets related to learning behavior are extracted from learners' behavior data, and a personalized model of user portrait based on improved K-means algorithm is constructed. Through the big data platform based on Hadoop distributed cluster, combined with data analysis algorithm, the data set is cleaned, standardized, analyzed and processed, and the user interests and preferences are analyzed. Finally, the function of the system is tested through web development, and the results show that our scheme can depict the different characteristics of learners, which provides a scientific basis for personalized recommendation and auxiliary learning of Ideological and political education.