Assessment of Online Learning Outcomes During Covid-19 Pandemic Among Medical Students at a University in Kunming

Yunfang WEI; Shan WANG; Lijuan TAI; Yinghong JIANG; Mingjun RUAN; Yanjing CHAI

doi:10.12259/j.issn.2095-610X.S20220328

Volume 43 Issue 3

Mar. 2022

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Article Navigation > Journal of Kunming Medical University > 2022 > 43(3): 154-159

Yunfang WEI, Shan WANG, Lijuan TAI, Yinghong JIANG, Mingjun RUAN, Yanjing CHAI. Assessment of Online Learning Outcomes During Covid-19 Pandemic Among Medical Students at a University in Kunming[J]. Journal of Kunming Medical University, 2022, 43(3): 154-159. doi: 10.12259/j.issn.2095-610X.S20220328

Citation:

Yunfang WEI, Shan WANG, Lijuan TAI, Yinghong JIANG, Mingjun RUAN, Yanjing CHAI. Assessment of Online Learning Outcomes During Covid-19 Pandemic Among Medical Students at a University in Kunming[J]. Journal of Kunming Medical University, 2022, 43(3): 154-159. doi: 10.12259/j.issn.2095-610X.S20220328

Citation:

Yunfang WEI, Shan WANG, Lijuan TAI, Yinghong JIANG, Mingjun RUAN, Yanjing CHAI. Assessment of Online Learning Outcomes During Covid-19 Pandemic Among Medical Students at a University in Kunming[J]. Journal of Kunming Medical University, 2022, 43(3): 154-159. doi: 10.12259/j.issn.2095-610X.S20220328

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Assessment of Online Learning Outcomes During Covid-19 Pandemic Among Medical Students at a University in Kunming

doi: 10.12259/j.issn.2095-610X.S20220328

1.
Medical College of Kunming University，Kunming Yunnan 650214
2.
Job Selection Management Consulting （Shanghai） Co.，Ltd，Shanghai 200082，China

Received Date: 2022-01-26
Publish Date: 2022-03-25

Abstract

Abstract

Objective To explore outcome of online learning during the period of Covid-19 pandemic, and provide the theoretical basis for blended teaching methods of online and offline. Methods A total number of 917 undergraduates at a University in Kunming, were randomly selected to the survey. The survey was conducted by “Questionnaire Star”, and utilized multistage stratified cluster sampling method. Moreover, the survey was designed to investigate the factors that may influence the outcome of remote learning, including learning resources, teaching methods, and learning process. Results We found that participants preferred to use mobile phones for remote learning than any other electronic devices. Meanwhile, there was a significant difference between network connection status and learning efficiency （P < 0.05）. However, learning efficiency was considered as “average” regardless of teaching methods. The degree of teacher’ s supervision was significantly correlated with learning status （ P < 0.05）. Therefore, students’ self discipline, teaching methods, subjective interest, and teacher’ s degree of supervision were the four main factors which may influence virtual learning efficiency. Yet, comparing with the average scores of students on spring semester of 2019 and 2020, there was no significant difference （ P > 0.05）. Conclusion It is necessary to consider multiple factors that may affect remote learning efficiency, which may imply that instructors would integrate various of online resources and strengthen the supervision of online teaching in order to improve learning outcomes. Since there was no significant difference between pre-and post pandemic period, it may suggest that intensive learning could help online learning efficiency.
- Covid-19 Pandemic,
- Online learning,
- Assessment of learning outcomes

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References(13)

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