基于混合机制的个性化学习资源推荐系统研究——以国家开放大学学习网为例

Research on Personalized Learning Resource Recommendation System Based on Hybrid Mechanism——Taking the Learning Network of the Open University of China as an Example

随着信息技术的迅速发展,学习者可获得的学习资源形式更加多样,数量更加庞大。如何利用大数据、AI,向学习者推荐个性化的学习资源成为人们关注的焦点。根据学习者的特征,塑造个性化的学习路径将真正满足学习需求,从而提高学习水平。因此,本文以国家开放大学学习网为例,通过对已有的不同的算法进行研究,从而基于混合推荐机制,设计了国开学习网的个性化学习资源推荐系统。

With the rapid development of information technology,the form of learning resources available to learners is more diverse and the number is even greater. How to use big data and AI to recommend personalized learning resources to learners has become the focus of attention. According to the characteristics of learners,shaping a personalized learning path will truly meet the learning needs,thereby improving the level of learning. Therefore,this article takes the Learning Network of the Open University of China as an example,through the study of existing different algorithms,based on the hybrid recommendation mechanism,designed a personalized learning resource recommendation system of the China’s network development.