Design of a Student Recommendation Platform Based on Learning Behavior and Habit Training  

作　　者：Xiaoyun Zhu 

机构地区：[1]Yunnan Open University,Kunming 650500,Yunnan Province,China

出　　处：《Journal of Electronic Research and Application》2024年第6期112-117,共6页电子研究与应用

摘　　要：This study innovatively built an intelligent analysis platform for learning behavior,which deeply integrated the cutting-edge technology of big data and Artificial Intelligence(AI),\mined and analyzed students’learning data,and realized the personalized customization of learning resources and the accurate matching of intelligent learning partners.With the help of advanced algorithms and multi-dimensional data fusion strategies,the platform not only promotes positive interaction and collaboration in the learning environment but also provides teachers with comprehensive and in-depth students’learning portraits,which provides solid support for the implementation of precision education and the personalized adjustment of teaching strategies.In this study,a recommender system based on user similarity evaluation and a collaborative filtering mechanism is carefully designed,and its technical architecture and implementation process are described in detail.

关 键 词：Big data analysis Collaborative filtering Learning behavior analysis Personalized recommendation Intelligent matching 

分 类 号：H31[语言文字—英语]