Research On The Personalized Recommendation Mechanism Of Chinese Learning APP

This research will study the basic characteristics and development status of Chinese learning apps,and on the basis of the existing mature Chinese learning apps,try to add Chinese learning functions based on personalized recommendation learning functions.This research can not only promote the development of the personalized recommendation learning function of the Chinese learning APP,but also provide some help for the personalized learning of foreign Chinese learners.Under the guidance of personalized recommendation mechanism,mobile learning theory,constructivist learning theory and other theories,this research will use literature research method,statistical analysis method,comparative analysis method and other methods to conduct research.First,use the literature research method to analyze the current research status of Chinese learning apps to improve the scientificity and accuracy of this article;then use the statistical analysis method to collect 50 representative Chinese learning apps as the survey objects,and conduct research on these Chinese learning apps.Classification and internal feature analysis,on the one hand,found that most Chinese learning apps are relatively mature,and they have better practiced constructivist learning theory and scaffolding teaching theories,which can help Chinese learners in autonomous and mobile learning.On the other hand,they can help.Overseas Chinese learners choose their own APPs from the uneven application market;finally,using comparative analysis,select two Chinese learning programs,"M Mandarin" and "Hi Chinese" with high market share and good user reviews from the survey samples.APP conducts comparative research and analyzes its advantages and disadvantages in Chinese teaching.The study found that although the current Chinese learning APP teaching resources are extremely rich and the teaching content covers all aspects of life,based on the evaluation feedback of learners and my real experience,I find that I often cannot find what I like in the process of using it.In order to solve this problem,this research introduces a personalized recommendation mechanism and tries to design a personalized learning function that can arouse learners’ learning interest on the basis of mature Chinese learning APP,which can be based on learners’ learning situation and hobbies.Recommend personalized learning content to help learners conduct personalized learning.