基于人工智能的个性化学习资源自适应推荐系统

Adaptive Recommendation System for Personalized Learning Resource Based on Artificial Intelligence

本文针对现阶段学生对于个性化学习的需求,以线上智能学习平台的语义重复性检测为突破口,收集了包括发展心理学、国际金融学、微观经济学、财务分析、国际商务以及国际经济合作在内的64门课程的学习者轨迹以及提问数据,并将其作为数据基础构建学生的学习者画像,设计出集大数据和人工智能为一体的个性化学习资源推荐系统。该系统不仅能够满足学生对于自适应学习资源推荐系统的需求,还有利于提高学生的学习效率。

Aiming at the needs of students for personalized learning at this stage,taking the semantic repeatability detection of online intelligent learning platform as a breakthrough,this paper collects learner tracks and question data of 64 courses,including development psychology,international finance,microeconomics,financial analysis,international business and international economic cooperation,It is used as the data base to construct the learner portrait of students,and a personalized learning resource recommendation system integrating big data and artificial intelligence is designed.The system can not only meet the needs of students for adaptive learning resource recommendation system,but also improve students’learning efficiency.