Evaluation of Students’ Feedbacks on Online Education during COVID-19
Page: 90-94
2020
- 92Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage92
- Downloads58
- Abstract Views34
Artifact Description
Covid-19 started affecting the whole world enormously within a few weeks and is continuing to do so. The primary action taken in order to limit the spread of the virus is social isolation. This process has caused difficulties in all areas, especially in education. Universities were obliged to switch to online education as all institutions closed down without stating an expected opening date. Online education has started to become the new normal in academia, but this new normal may be imposing difficulty to some. Compulsory online education during the pandemic is perceived in different ways by students. In this study students' technology usage, feedbacks about online education were analyzed and evaluated by using descriptive statistics.
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