Personalized Learning Resource Recommendation Algorithm of Mobile Learning Terminal
Hui Liu, Kuanna Huang, Liping Jia · 2019
With the popularization of mobile devices such as the Internet and smart phones, people's learning styles are undergoing profound changes and mobile learning terminals are becoming more and more popular. In this paper, the model of personalized learning resource recommendation algorithm based on mobile learning terminal was studied, and a personalized learning model based on recommendation algorithm was designed. The algorithm can analyze the user's learning history data in the mobile learning terminal and make accurate learning resource recommendation according to the user's learning level and personal preference. Finally, the experimental results show that personalized learning resource recommendation model based on recommendation algorithm can effectively predict the direction of users' learning needs, and expand the new research directions in personalized learning resources recommendation.