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.

scholarly journals Evaluation of Factors Affecting Student Participation in Peer-Assisted English Learning Based on Online Education Platform

2021 ◽  
Vol 16 (11) ◽  
pp. 72
Author(s):  
Hong Hu ◽  
Xiuli Wang ◽  
Yuhui Zhai ◽  
Jian Hu
Keyword(s):  
Online Education ◽  
Influencing Factors ◽  
Questionnaire Survey ◽  
Student Participation ◽  
Knowledge Structure ◽  
English Learning ◽  
Factors Affecting ◽  
Weak Intensity ◽  
Teaching Design ◽  
Education Platform

Through a questionnaire survey, this study explored the factors affecting student participation in peer-assisted English learning (PAEL) based on online education platforms. Specifically, the authors constructed the system of PAEL contents, analyzed the online PAEL behaviors of students, and evaluated the student participation in online PAEL from both surface participation and deep participation. On this basis, the influencing factors of student participation in online PAEL were evaluated thoroughly. In the end, several countermeasures were presented to solve the problems with student participation in online PAEL. The results show that: the online PAEL face such problems like low-level knowledge structure and poor interaction quality, weak intensity of interaction, and inactive atmosphere of collaboration; In general, the students are not actively participating in online PAEL; the student participation in online PAEL is greatly affected by teachers, students, teaching contents, and online education platforms; the low participation in online PAEL mainly arises from the weak motives of students for online PAEL, the inadequate teaching design and supervision of teachers, and the imperfect functions of online education platform. The research enriches the theoretical and practical results on the factors affecting student participation in online PAEL.

scholarly journals Factors Affecting E-shopping Behaviour of College Students in Gujarat

2020 ◽  
pp. 175-185
Keyword(s):  
College Students ◽  
Credit Card ◽  
Online Shopping ◽  
Personal Information ◽  
Descriptive Analysis ◽  
Shopping Behavior ◽  
Local Market ◽  
Motivating Factors ◽  
Factors Affecting ◽  
Online Business

Promotion of digital India and due to uphold benefits of e-shopping; online market is observing constant growth in India. End of 2019 has faced global disease of COVIND 19 which has highly affected world economy. The lockdown period observed closing of traditional i.e. local market as the only solution to avoid spreading of COVIND 19 was to follow social distancing. Although online business exists the then period taught every firm big or small to do business through e-market. Thus online shopping rate increased during lockdown period as per reports given by periodicals and news channel. Therefore this study will give input for factors that affect E-shopping behavior especially for college students in Gujarat. The study was based on opinion of respondents collected through structured questionnaire which were filled by students of Gujarat University and Hemchandracharya North Gujarat University. Both descriptive analysis and inferential analysis were considered for the study. The findings of the study identified personal examination of products, worried of fraud while giving debit card/credit card information and also have fear of misuse for personal information shared on e-shopping sites as major barriers for e-shopping. Motivating factors identified were that e-shopping saves time, is convenient and it provides very attractive festival offers. The study concluded that motivating factors for online shopping have significant effect on e-shopping behavior. Satisfaction for eshopping also moderately affects e-shopping decision.

scholarly journals Deep Integration of Physical Health Education Based on Intelligent Communication Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Min Liu ◽  
Jianjun Bu
Keyword(s):  
Artificial Intelligence ◽  
Physical Education ◽  
Online Education ◽  
Communication Technology ◽  
Current Trend ◽  
Scientific Data ◽  
Survey Method ◽  
Intelligent Communication ◽  
Deep Integration ◽  
Education Platform

In recent years, intelligent medical communication technology has developed rapidly, and the advancement of hardware technology has accelerated the development of software technology. Physical exercise breaks the limits of all aspects of the human body and requires scientific and reliable information. Industrial cameras realize collection and high-resolution image processing functions and use artificial intelligence to create conditions for collecting scientific data. With the powerful driving force of artificial intelligence, it is believed that physical education will develop to a new height. The intellectualization of physical education makes people expect that it will also bring some inevitable problems, but as long as we continue to overcome and improve, we believe that artificial intelligence will better serve physical education and benefit mankind. Artificial intelligence is the current trend of social development. This paper takes physical education as a breakthrough point to discuss the application of artificial intelligence in physical education. This paper uses the grey GM prediction model and questionnaire survey method to build an online education platform and develop an effective education model, which can integrate the country’s best educational resources and reduce time and space constraints. Providing a relaxing learning environment for education, one can learn anytime, anywhere. In a typical physical education system, the average self-efficacy score is converted from 20.48 points to 68.37 points, and the average self-score of physical education in the integrated artificial intelligence environment is converted from 30.25 points to 75.54 points. The data show that the quality of education has greatly improved.

Differential factors affecting testing and career choices of Black college students

1972 ◽  
Author(s):  
Ronald G. Taylor ◽  
Richard D. Grosz ◽  
Robert Whetstone ◽  
Catherine Joseph ◽  
Leon Willis
Keyword(s):  
College Students ◽  
Career Choices ◽  
Black College ◽  
Black College Students ◽  
Factors Affecting

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.

Sign in / Sign up

Export Citation Format

Share Document