Construction and Implementation of Ideological and Political Education Platforms Based on Artificial Intelligence Technology

Ni Li
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Ni Li: Sanya Institute of Technology, China

International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 2025, vol. 20, issue 1, 1-23

Abstract: In depth exploration of how the pandemic has reshaped the education ecosystem over the past three years, especially in the context of the surge in demand for online education courses and learning platforms, this article focuses on the field of student ideological and political education, and innovatively constructs a moral and political education platform that integrates efficiency, interactivity, and personalization. Through in-depth analysis of existing online education platforms in the market, we found that although these platforms have the potential for remote teaching in terms of technology. By introducing advanced artificial intelligence technologies, especially recursive neural networks (RNNs) and their variants in deep learning, traditional collaborative recommendation algorithms are revolutionized. This improvement not only enhances the algorithm's understanding of user behavior patterns, but also more accurately captures users' potential points of interest and changes in needs, thereby achieving more personalized content recommendations.

Date: 2025
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