Research on Influencing Factors of Online Education under Epidemic Situation Based on Regression Analysis

Liyang Qu

doi:10.54097/ehss.v5i.2906

Authors

Liyang Qu

DOI:

https://doi.org/10.54097/ehss.v5i.2906

Keywords:

Covid-19, Online class, Regression, Visualization, Influencing factors

Abstract

Since the COVID-19 pandemic, large-scale online teaching has officially kicked off around the world. Carrying out online teaching is not only an emergency measure in the context of epidemic prevention and control but also an important opportunity to transform teaching thinking and promote teaching innovation. The study looked at students' responses to online classes in the Indian capital, Delhi. This study used regression analysis and some data visualization methods to conduct statistical analysis of the data. The results showed that students were basically satisfied with the effect of online learning during the pandemic, and the study found that “Time spent on Online class” and “Smartphone” are the main factors to evaluate students' learning effects. According to the influencing factors obtained from the results, the “Government - School - Student” model is proposed to promote the learning efficiency and quality of students, hoping to become an effective strategy to improve students' home learning.

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References

Xu Jinjie the response of the global education system and the challenge of online education under the COVID-19 epidemic -- findings and Reflections Based on the OECD global survey results. Comparative education research, 2020,42 (06): 3-10.

Wang Zhuli. How should education be transformed in the post epidemic era? Research on audio visual education, 2020,41 (04): 13-20.

Xie youru, Qiu Yi, Huang Yuling, Wang qinlei. Characteristics, problems and innovation of the online teaching method of “no class, no school” during the epidemic prevention and control. Research on audiovisual education, 2020,41 (03): 20-28.

Dai Hong, Yang Xuefei. Analysis of influencing factors of large-scale online learning behavior intention during the epidemic period. Journal of higher education, 2022,8 (21): 65-69.

Song Lingqing, Xu Lin, Li Yayu. Precise online teaching + Home Learning Mode: a way to improve students' learning quality during the epidemic period. China audio visual education, 2020 (03): 114-122

Chen Xiang, Cheng Dehua, Chen Zufen. Epidemic prevention and control during the student online learning effect and its influencing factors to explore the. Journal of Chinese modern education equipment, 2020 (11): 14-17 + 21.

Marčec Robert, Majta Matea,Likić Robert. Satisfaction and attitudes of Zagreb medical students towards online education during the COVID-19 pandemic. Liječnički vjesnik, 2020, 142(S5).

Luo Changyuan, Si Chunxiao Will online education widen the gap between students with different family conditions --Quasi natural experiment based on COVID-19. Financial research, 2020,46 (11): 4-18.

Xiong Yong, Ling Que, Li Xiaoli. Ubiquitous e-Teaching and e-Learning: China's Massive Adoption of Online Education and Launching MOOCs Internationally during the COVID-19 Outbreak[J]. Hindawi Limited, 2021.

Wang Yunwu, Wang Yuru, Li Yanxin, Li Dan. Countermeasures and suggestions for improving the quality of online education during epidemic prevention and control. China medical education technology, 2020,34 (02): 119-124 + 128.