Abstract
The ravages of COVID-19 have forced schools in countries around the world to make a temporary shift from traditional, face-to-face teaching to online teaching. Are teachers in schools prepared to deal with this change? We conducted a survey in which we distributed questionnaires to primary and secondary school teachers in Guangdong Province, China, asking them about their views on various aspects of online education. We received 498,481 questionnaires back, and over 80% of teachers were satisfied with the online resources, and over 68% of teachers were satisfied with the online platform and software. Immediately afterward, we analyzed the differences between urban and rural teachers on specific issues using cross-sectional analysis and chi-square tests and built a neural network model to achieve predictions of teacher satisfaction with an accuracy of nearly 90%. Finally, we analyzed the features that influence the decisions of the neural network. This epidemic has prompted the widespread use of online learning, and the insights we gain today will be helpful in the future.
Highlights
In December 2019, a new coronavirus causes acute infectious pneumonia all across the world [1]
Kardan et al [20] developed a neural network model for student satisfaction and course selection, and the results show that the model is superior to three famous machine learning algorithms and two previous naive algorithms
The study results show some differences between urban teachers and rural teachers in their participation in online education
Summary
In December 2019, a new coronavirus causes acute infectious pneumonia all across the world [1]. Many institutions have eliminated face-to-face classes and use online platforms for distance learning [2]. Schools across the country’s provinces are gradually launching online teaching through software such as Dingding, Tencent Meetings, and Zoom, and online education is seeing good growth opportunities
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
