scholarly journals Analysis of the Development Trend of Online Education in China

2017 ◽  
Vol 6 (5) ◽  
pp. 159
Author(s):  
Shen Zheng
Author(s):  
Lyudmila Batsenko ◽  
◽  
Shuangshan Ruan ◽  
Svitlana Dubovyk ◽  
◽  
...  

After years of development, the number of education and training institutions has decreased but the market size has continued to increase. The reason is the rise of online education. The development trend of combining online and offline education needs to innovate the personal development of teachers. This paper studies the development trend of the education and training industry, draws inspiration from the development trend for the personal development of teachers, and builds a personal development model for teachers based on the iceberg model. It is intended to provide innovative suggestions for the development of teachers in the education and training industry.


2021 ◽  
pp. 1-10
Author(s):  
Weifeng Yan ◽  
Guangming Wang

The development trend of foreign education is affected by many factors, so its future development trend is difficult to judge. Therefore, it is necessary to simulate and analyze the development trend of foreign education through artificial intelligence. According to actual needs, based on artificial intelligence algorithms, this paper builds artificial intelligence simulation analysis model to realize the simulation analysis of foreign education development. Moreover, starting from the overall design architecture of the online education platform, this paper builds functional modules, uses the machine learning constructed in this paper for data training and data prediction, and outputs prediction results. In order to study the performance reliability of the model, we predict and judge the development trend of foreign education and determine the model reliability through empirical judgment. The research results show that the model constructed in this paper has a certain effect.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Wen Li ◽  
Robyn Gillies ◽  
Mingyu He ◽  
Changhao Wu ◽  
Shenjun Liu ◽  
...  

Abstract Background The COVID-19 pandemic posed a huge challenge to the education systems worldwide, forcing many countries to provisionally close educational institutions and deliver courses fully online. The aim of this study was to explore the quality of the online education in China for international medical and nursing students from low- and middle-income countries (LMICs) as well as the factors that influenced their satisfaction with online education during the COVID-19 pandemic. Methods Questionnaires were developed and administered to 316 international medical and nursing students and 120 teachers at a university in China. The Chi-square test was used to detect the influence of participants’ personal characteristics on their satisfaction with online education. The Kruskal–Wallis rank-sum test was employed to identify the negative and positive factors influencing the online education satisfaction. A binary logistic regression model was performed for multiple-factor analysis to determine the association of the different categories of influential factors—crisis-, learner-, instructor-, and course-related categories, with the online education satisfaction. Results Overall, 230 students (response rate 72.8%) and 95 teachers (response rate 79.2%) completed the survey. It was found that 36.5% of students and 61.1% of teachers were satisfied with the online education. Teachers’ professional title, students’ year of study, continent of origin and location of current residence significantly influenced the online education satisfaction. The most influential barrier for students was the severity of the COVID-19 situation and for teachers it was the sense of distance. The most influential facilitating factor for students was a well-accomplished course assignment and for teachers it was the successful administration of the online courses. Conclusions Several key factors have been identified that affected the attitudes of international health science students from LMICs and their teachers towards online education in China during the COVID-19 pandemic. To improve the online education outcome, medical schools are advised to promote the facilitating factors and cope with the barriers, by providing support for students and teaching faculties to deal with the anxiety caused by the pandemic, caring for the state of mind of in-China students away from home, maintaining the engagement of out-China students studying from afar and enhancing collaborations with overseas institutions to create practice opportunities at students’ local places.


1998 ◽  
Vol 82 (Appendix) ◽  
pp. 311-311
Author(s):  
Tetsuji Okajima ◽  
Chizuka Tani

2020 ◽  
Vol 12 (6) ◽  
pp. 2467 ◽  
Author(s):  
Fei Zhao ◽  
Yihan Gao ◽  
Tengyuan Wang ◽  
Jinsha Yuan ◽  
Xiaoxia Gao

To study the wake development characteristics of wind farms in complex terrains, two different types of Light Detection and Ranging (LiDAR) were used to conduct the field measurements in a mountain wind farm in Hebei Province, China. Under two different incoming wake conditions, the influence of wind shear, terrain and incoming wind characteristics on the development trend of wake was analyzed. The results showed that the existence of wind shear effect causes asymmetric distribution of wind speed in the wake region. The relief of the terrain behind the turbine indicated a subsidence of the wake centerline, which had a linear relationship with the topography altitudes. The wake recovery rates were calculated, which comprehensively validated the conclusion that the wake recovery rate is determined by both the incoming wind turbulence intensity in the wake and the magnitude of the wind speed.


2010 ◽  
Vol 455 ◽  
pp. 621-624
Author(s):  
X. Li ◽  
Y.Y. Yu

Because of the practical requirement of real-time collection and analysis of CNC machine tool processing status information, we discuss the necessity and feasibility of applying ubiquitous sensor network(USN) in CNC machine tools by analyzing the characteristics of ubiquitous sensor network and the development trend of CNC machine tools, and application of machine tool thermal error compensation based on USN is presented.


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