在线教育平台中个性化学习资源推荐系统设计

为了通过充分挖掘和分析用户的学习行为规律及认知特点,借助互联网和人工智能技术提升个性化教育的深度和广度,设计了一个包含用户画像的个性化学习资源推荐系统.该系统由数据层、数据分析层和推荐计算层构成.数据层由用户数据以及包含知识资料、学习资料和标签集的资源库组成;数据分析层融合了以基础信息、学习行为等为代表的静态数据和动态...

Design of Personalized Learning Resource Recommendation System for Online Education Platform

To improve the depth and breadth of personalized education by fully exploring and analyzing the learning behaviors and cognitive characteristics of users with the help of the Internet and artificial intelligence technology,a personalized learning resource recommendation system with user portrait is designed,which consists of data layer,data analysis layer and recommendation calculating layer.The data layer includes user information and a repository containing knowledge materials,learning materials and tag sets.The data analysis layer integrates static data and dynamic data represented by basic information and learning behavior,so as to generate personalized portrait and provide intuitive learning feedback for users.The recommendation calculating layer finds out the patterns of learning behavior for users by similarity analysis and cluster analysis,mines the resource preference of users by using the TF-IDF method,and gives personalized learning suggestions accordingly.This system has been used in an online platform for artificial intelligence education tested its capabilities of providing teachers and students with personalized portrait,learning feedback and resource recommendation for the second semester.