Abstract
At this time, ideological and political education (IAPE) on campuses of colleges and universities can benefit from using the Internet because it has become a suitable venue. Statistics and analysis of information data have become more common since the advent of the era of big data. Using these statistics to analyze students’ ideological and moral performance on the Internet, followed by the implementation of targeted education, can effectively improve students’ online moral literacy. We discussed the social and individual value dimensions of college network IAPE in the era of big data, as well as the realization methods of concepts, platforms, mechanisms, and team building. We also analyzed the challenges that college network IAPE faces in the era of big data. Not only should IAPE courses keep the academic rationality and political nature of the course itself, but they should also take into account the qualities of colleges and universities as well as the requirements for students’ personal growth and development. At the moment, ideological programs have issues such as mechanical rigidity, poor pertinence, a lack of synergy, an inability to develop personalised partnership, and exact instructional methods. These are just some of the issues. In this research, we create an accurate teaching model of IAPE courses based on the collaborative filtering (CF) algorithm. Our goal is to address challenges that are related to these issues. The efficiency of the algorithm as well as its applicability were put to the test and verified with the use of public test sets in the recommendation domain.
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Li, Y. (2022). The Value Dimension and Realization Method of Network Ideological and Political Education in Colleges and Universities in the Era of Big Data. In: Liu, Q., Liu, X., Cheng, J., Shen, T., Tian, Y. (eds) Proceedings of the 12th International Conference on Computer Engineering and Networks. CENet 2022. Lecture Notes in Electrical Engineering, vol 961. Springer, Singapore. https://doi.org/10.1007/978-981-19-6901-0_146
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