With the rapid development of big data,online education can use big data technology to achieve personalized and intelligent education as well as improve learning effect and user satisfaction.In this study,the users of...With the rapid development of big data,online education can use big data technology to achieve personalized and intelligent education as well as improve learning effect and user satisfaction.In this study,the users of The Open University of China online education platform were taken as the research object,their user behavior data was collected,cleaned,and analyzed with text mining.The RFM model and the improved K-Means algorithm were used to construct the user portrait of the platform group and the needs and preferences of different types of the users were analyzded.Chinese word segmentation was used to show the key words of different types of users and the word cloud of their using frequency.The focus of different user groups was determined to facilitate for the follow-up course recommendation and precision marketing.Experimental results showed that the improved K-Means algorithm can well depict the behavior of group users.The index of silhouette score was improved to 0.811 by the improved K-Means algorithm,from random uncertainty to a fixed value,which can effectively solve the problem of inconsistent results caused by outlier sample points.展开更多
There are hot arguments on foreign language learning "the sooner the better" and it is critical to children' s foreign language education policies.This study combs series of empirical studies and models ...There are hot arguments on foreign language learning "the sooner the better" and it is critical to children' s foreign language education policies.This study combs series of empirical studies and models to analyze disadvantages of the belief of foreign language education "the sooner the better" in China.The findings are:1.Age is not the key factor to foreign language achievement,learning strategies,language distance and mother language proficiency are important factors that can not be ignored;2.The results in external foreign language studies can not be used directly to guide domestic foreign language education policies,for practical demands must be taken in consideration.展开更多
As a key component of China's educational system,vocational education is playing an increasingly important role in nowadays society. However,due to a number of challenges it encounters,it's the critical time f...As a key component of China's educational system,vocational education is playing an increasingly important role in nowadays society. However,due to a number of challenges it encounters,it's the critical time for us to carry out reform in this field. Germany is a country where vocational education is widely- respected and well- developed. This paper intends to have a close examination of the German model so as to highlight essence in this model,to be specific,its dual system and strong emphasis on improving teaching staff quality,for Chinese reformers to learn from.展开更多
文摘With the rapid development of big data,online education can use big data technology to achieve personalized and intelligent education as well as improve learning effect and user satisfaction.In this study,the users of The Open University of China online education platform were taken as the research object,their user behavior data was collected,cleaned,and analyzed with text mining.The RFM model and the improved K-Means algorithm were used to construct the user portrait of the platform group and the needs and preferences of different types of the users were analyzded.Chinese word segmentation was used to show the key words of different types of users and the word cloud of their using frequency.The focus of different user groups was determined to facilitate for the follow-up course recommendation and precision marketing.Experimental results showed that the improved K-Means algorithm can well depict the behavior of group users.The index of silhouette score was improved to 0.811 by the improved K-Means algorithm,from random uncertainty to a fixed value,which can effectively solve the problem of inconsistent results caused by outlier sample points.
基金the staged achievement of the national social science fund project--the Empirical Studies of Whether Foreign Language Learning is the Earlier the Better(CHA140176)
文摘There are hot arguments on foreign language learning "the sooner the better" and it is critical to children' s foreign language education policies.This study combs series of empirical studies and models to analyze disadvantages of the belief of foreign language education "the sooner the better" in China.The findings are:1.Age is not the key factor to foreign language achievement,learning strategies,language distance and mother language proficiency are important factors that can not be ignored;2.The results in external foreign language studies can not be used directly to guide domestic foreign language education policies,for practical demands must be taken in consideration.
文摘As a key component of China's educational system,vocational education is playing an increasingly important role in nowadays society. However,due to a number of challenges it encounters,it's the critical time for us to carry out reform in this field. Germany is a country where vocational education is widely- respected and well- developed. This paper intends to have a close examination of the German model so as to highlight essence in this model,to be specific,its dual system and strong emphasis on improving teaching staff quality,for Chinese reformers to learn from.
