With the development of modern information technology and network society,the era of digital transformation has arrived,many educational resources have been developed and utilized,and the problem of space-time separat...With the development of modern information technology and network society,the era of digital transformation has arrived,many educational resources have been developed and utilized,and the problem of space-time separation of global Chinese learners is gradually being solved.The use of mobile application learning can achieve convenient and fast learning,reduce learning costs,and flexibly adjust learning progress.After experiencing COVID-19,the demand for human-computer interaction in mobile learning is even more necessary.Therefore,to make applications achieve seamless docking with the needs of learners in the design of learning,the research investigates and analyzes the five dimensions of time,space,mode,subject,and object.The research tests the reliability and validity of the questionnaire,removes the relevant items and conducts non-parametric tests,then puts forward corresponding strategies according to the results of the questionnaire.It aims to enhance the efficiency of Chinese learners in HSK(Hanyu Shuiping Kaoshi,Chinese Proficiency Test)learning and promote Chinese learning and the spread of the Chinese language and culture.展开更多
Seamless prediction is a weather-climate integrated prediction covering multiple time scales that include days,weeks,months,seasons,years,and decades.Seamless prediction can provide different industries with informati...Seamless prediction is a weather-climate integrated prediction covering multiple time scales that include days,weeks,months,seasons,years,and decades.Seamless prediction can provide different industries with information such as weather conditions and climate variations from the next few days to years,which have important impacts on economic and social development and important reference value for short-,medium-and long-term decision-making and planning of the country.Therefore,seamless prediction has received widespread attention from the international scientific community recently.As Chinese scientists have also carried out relevant research,this paper reviews the research in China on developments and applications of seamless prediction methods and prediction systems in recent years.Among them,the main progress of seamless prediction methods studies is reviewed from four aspects:short-and medium-range weather forecasting,subseasonal-to-seasonal,seasonal-to-interannual,and decadal climate prediction.In terms of development and application of seamless prediction systems,the main achievements made by meteorological operational departments,scientific institutes,and universities in China in recent years are reviewed.Finally,some of the issues in seamless prediction that need further study are discussed.展开更多
基金2023 International Chinese Teaching Practice Innovation Project(YHJXCX23-039)2024-2025 Higher Education Fund of the Macao SAR Government(MF2342)+2 种基金National Social Science Fund of China(BBA230063)National Social Science Fund of China(BCA200090)Research on the Training Path of Innovative Thinking Ability of College Students in Guangdong(2023GXJK233)。
文摘With the development of modern information technology and network society,the era of digital transformation has arrived,many educational resources have been developed and utilized,and the problem of space-time separation of global Chinese learners is gradually being solved.The use of mobile application learning can achieve convenient and fast learning,reduce learning costs,and flexibly adjust learning progress.After experiencing COVID-19,the demand for human-computer interaction in mobile learning is even more necessary.Therefore,to make applications achieve seamless docking with the needs of learners in the design of learning,the research investigates and analyzes the five dimensions of time,space,mode,subject,and object.The research tests the reliability and validity of the questionnaire,removes the relevant items and conducts non-parametric tests,then puts forward corresponding strategies according to the results of the questionnaire.It aims to enhance the efficiency of Chinese learners in HSK(Hanyu Shuiping Kaoshi,Chinese Proficiency Test)learning and promote Chinese learning and the spread of the Chinese language and culture.
基金supported by the National Natural Science Foundation of China(Grant Nos.U2242206,42175015,and 41975094)the Basic Research and Operational Special Project of CAMS(Grant No.2021Z007).
文摘Seamless prediction is a weather-climate integrated prediction covering multiple time scales that include days,weeks,months,seasons,years,and decades.Seamless prediction can provide different industries with information such as weather conditions and climate variations from the next few days to years,which have important impacts on economic and social development and important reference value for short-,medium-and long-term decision-making and planning of the country.Therefore,seamless prediction has received widespread attention from the international scientific community recently.As Chinese scientists have also carried out relevant research,this paper reviews the research in China on developments and applications of seamless prediction methods and prediction systems in recent years.Among them,the main progress of seamless prediction methods studies is reviewed from four aspects:short-and medium-range weather forecasting,subseasonal-to-seasonal,seasonal-to-interannual,and decadal climate prediction.In terms of development and application of seamless prediction systems,the main achievements made by meteorological operational departments,scientific institutes,and universities in China in recent years are reviewed.Finally,some of the issues in seamless prediction that need further study are discussed.