scholarly journals Strategies, methods and problems of online education in China during the epidemic*

2020 ◽  
Author(s):  
Yu Bai ◽  
Zhe Li ◽  
Fuzheng Zhao ◽  
Yan Jiang
Keyword(s):  
Online Education ◽  
Education In China

scholarly journals Barriers and facilitators to online medical and nursing education during the COVID-19 pandemic: perspectives from international students from low- and middle-income countries and their teaching staff

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Wen Li ◽  
Robyn Gillies ◽  
Mingyu He ◽  
Changhao Wu ◽  
Shenjun Liu ◽  
...  
Keyword(s):  
Nursing Students ◽  
Online Education ◽  
Response Rate ◽  
International Medical ◽  
Teaching Staff ◽  
Middle Income ◽  
Middle Income Countries ◽  
Education Satisfaction ◽  
Education In China ◽  
Low And Middle Income

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.

scholarly journals Regression Analysis on the Influencing Factors of the Acceptance of Online Education Platform among College Students

2020 ◽  
Vol 25 (5) ◽  
pp. 595-600
Author(s):  
Jia Wen ◽  
Xiaochong Wei ◽  
Tao He ◽  
Shangshang Zhang
Keyword(s):  
College Students ◽  
Online Education ◽  
Communication Technology ◽  
Descriptive Analysis ◽  
Course Satisfaction ◽  
Traditional Learning ◽  
Factors Affecting ◽  
Fifth Generation ◽  
Education Platform ◽  
Education In China

With the proliferation of the fifth generation (5G) communication technology, another boom of online education will come, and reshape our traditional learning model. Inspired by the literature on online education platform, this paper establishes a model for the factors affecting the acceptance of online education platform among college students based on the theory of planned behavior (TPB), and put forward several hypotheses on the influence of multiple factors over the acceptance. Then, a scientific questionnaire was designed and distributed online to college students. The survey data were subject to descriptive analysis and correlation analysis. The results show that college students have considered online education platforms an important learning tool; the acceptance of online education platform among college students is positively affected by such factors as personal value, course satisfaction, teacher quality, social influence, and self-efficacy. The research results provide a good reference for the development of online education in China.

scholarly journals Utilisation Status and User Satisfaction of Online Education Platforms

2020 ◽  
Vol 15 (19) ◽  
pp. 154
Author(s):  
Xi Chen ◽  
Erya Xia ◽  
Wen Jia
Keyword(s):  
Online Education ◽  
User Experience ◽  
User Satisfaction ◽  
Questionnaire Survey ◽  
Credit Rating ◽  
Information Age ◽  
Current State ◽  
Platform Development ◽  
Education Platform ◽  
Education In China

In the information age, the proliferation of online education platforms is accompanied by various problems. This paper aims to solve the problems of online education platforms, making them more useful and adaptable. Targeting at a key online education platform (SmartStudy) in China, the authors conducted a questionnaire survey among users on their utilization and perception of online education platforms. Based on the survey data, the current state of the platform was summarized, followed by an analysis on the degree of impact from each factor on the selection between platforms. Next, the platform development and user satisfaction were discussed in the light of platform security, credit rating and user experience. Finally, several suggestions were put forward to improve the online education platform. The research results are of great importance to the development of online education in China.

The COVID-19 Pandemic, Massive Online Education, and Teacher Learning

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Shuhua Chen
Keyword(s):  
Online Education ◽  
Teacher Learning ◽  
Ministry Of Education ◽  
Personal Reflection ◽  
Chinese Teachers ◽  
Central Concern ◽  
Short Period ◽  
Tools And Techniques ◽  
Education In China

I am one of 16.7 million Chinese teachers (Ministry of Education, 2019b) who were asked to grasp online education tools and techniques within a short period of time (in my case, two weeks). All of a sudden, preparing teachers for online education became a central concern for all school administrations in China. The following is a very personal reflection of mine on teacher learning in the background of the COVID-19 pandemic and massive online education in China.

scholarly journals Online Education Optimization Based on Edge Computing under the COVID-19 Pandemic

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Huiling Wang ◽  
Jiasheng Wang
Keyword(s):  
Teacher Training ◽  
Online Education ◽  
Edge Computing ◽  
Learning Condition ◽  
Learning Methods ◽  
The Real ◽  
Learning Platform ◽  
Teachers And Students ◽  
Education In China ◽  
Task Offloading

The COVID-19 pandemic has strongly affected education in China, even if education departments and corresponding schools took a series of measures to manage online education of the school’s new semester in China, including maneuver, learning platform allocation, and teacher training. In this paper, edge computing is used to optimize online education, and a task offloading algorithm is designed to minimize the computing delay of terminal tasks. Through preparation, practice, and reflection of this online education, this study aims to comprehensively demonstrate the learning condition of online education in China and present the real adjustment impact based on the problems encountered during the process. Although several schools gradually reopened to students in 3 months, several improvements are warranted in various ways. This study proposes the construction of education infrastructure, the adjustment of teaching organization, and the learning methods of teachers and students, providing a clear guiding significance for the development and enhancement of online education in the future.

scholarly journals Analysis on Current Situation and Forecast of Chinese Online Education Industry

2020 ◽  
Vol 218 ◽  
pp. 04005
Author(s):  
Huawei Huang
Keyword(s):  
Online Education ◽  
Current Status ◽  
Educational Institutions ◽  
Gray Model ◽  
School Students ◽  
Education Community ◽  
Education Industry ◽  
Consumer Intentions ◽  
The Hours ◽  
Education In China

Affected by the epidemic of the COVID-19, classroom teaching has been suspended and demand of online education is increasing, which has a far-reaching impact on educational industry. The competition of online education companies is becoming fiercer. It is necessary to discuss the feasibility of online education and a future development. Therefore, finding potential of online education and analyzing encounter problems is the main purposes. Aiming at middle school students, this article uses questionnaire survey and statistic to summarize the current status of online education in China from three aspects: geographical distribution of usage, the hours and pricing issues of online education companies, consumer intentions and consumer concerns. The gray model will be applied to predict the development potential of online education and provide effective suggestions to the education community. The selected institutions are mainly educational institutions of well-known domestic brands.

scholarly journals Innovative Research on the Development of Online Education Mode of Internet Thinking Based on the Discrimination of Learning Attention under the Analysis of Head Posture

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Su Song ◽  
Fangzheng Wang
Keyword(s):  
Online Education ◽  
Online Teaching ◽  
Large Scale ◽  
Rapid Development ◽  
Internet Technology ◽  
Scale Model ◽  
Current Frame ◽  
Posture Analysis ◽  
Head Posture ◽  
Education In China

With the rapid development of Internet technology and the popularity of 5G and broadband, online education in China, especially mobile online education, is in full swing. Based on the development status of online education in China, this paper analyzes the innovative application of learning attention discrimination based on head posture analysis in the development of online education mode of Internet thinking. Learning attention is an important factor of students’ learning efficiency, which directly affects students’ learning effect. In order to effectively monitor students’ learning attention in online teaching, a method of distinguishing students’ learning attention based on head posture recognition is proposed. In the tracking process, as long as the head angle of the current frame is close to the head angle of the key frame in a certain scale model, the visual angle apparent model can reduce the error accumulation in large-scale tracking. A Dynamic Bayesian Network (DBN) model is used to reason students’ Learning Attention Goal (LAG), which combines the relationships among multiple LAGs, multiple students’ positions, multicamera face images, and so on. We measure the head posture through the similarity vector between the face image and multiple face categories without explicitly calculating the specific head posture value. The test results show that the proposed model can effectively detect students’ learning attention and has a good application prospect.

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