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An Anlysis And Design Of M-learning Using In Chinese International Education

Posted on:2019-11-18Degree:MasterType:Thesis
Country:ChinaCandidate:Q HuFull Text:PDF
GTID:2405330596461477Subject:Chinese international education
Abstract/Summary:
In this era of rapid development of social information technology,the Internet and wireless mobile networks are maturing and mobile devices are becoming more and more popular.Mobile learning,which is a mode of interactive teaching pattern,relying on wireless network and multimedia technology and using wireless devices like mobile phones and computers,has been widely used all over the world.It has greatly promoted the change and development of educational concept and learning pattern.It will be a development trend that using modern information technology in education.At present,M-Learning technology is also used in Chinese international education.It not only satisfied the needs of multimedia in Chinese teaching,but also promoted the development of disciplinary construction.But the study of using M-Learning technology in Chinese international education is still in developing stage,and teaching resources of M-Learning are still insufficient.This study took the Chinese character learning applications as a case to analysis the application status of M-Learning in Chinese international education.Research status of Chinese characters learning applications were collocted through reading documents and literature.Resources of Chinese characters learning applications were summarized by searching the Appstore.User data were collected though a questionnaire.Four popular applications were chosen to compare in three ways which including function,content and presentation form.According to the user data and the results of comparison,an application model was designed.The model which inherted the advantages of present applications and avoided some shorts,increased the content of studing Chinese character structure,and became more individual.
Keywords/Search Tags:Mobile learning, Chinese characters learning, comparison of character learning applications, design of character learning applications model
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