Volume 3,Issue 9
Innovative Models of Online Ideological and Political Education in Higher Education Institutions under the New Media Environment
With the rapid development of new media technology, traditional ideological and political education in universities has gradually revealed a series of problems such as weak interactivity, relatively limited coverage, and serious lack of individualization in terms of content supply, dissemination efficiency, and student participation. In order to effectively improve the precision and effectiveness of online ideological and political education, this article adopts the integration of big data analysis, algorithm recommendation technology, and new media dissemination methods to build a pilot system for online ideological and political education that integrates online behavior collection, learning portrait generation, and personalized content push. This study relies on modules such as online discussion forums, virtual communities, and cross-border live streaming to capture students' learning behavior characteristics in real-time. Through introducing cluster analysis and hybrid recommendation systems, the interests and preferences of the students are identified in a fine-grained manner and as a result, dynamic matching and accurate distribution of the educational material are reached. Based on the pilot findings, it is possible to note that the participation level, the level of interaction, and cross-cultural comprehension of ideological and political materials among students have greatly increased. Meanwhile, the satisfaction of learning experience has reached its maximum as well, and the successful reach rate and participation stickiness of educational content have been found to have a substantial growth tendency as well. This fully demonstrates that the network ideological and political education model based on new media technology and algorithm support can play a positive role in enhancing content attractiveness, strengthening learning participation, and optimizing educational dissemination effects.
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