| Literature DB >> 33681698 |
Saleh Bajaba1, Khider Mandurah1, Mohammad Yamin1.
Abstract
Even after 13 months, our world is still battling with global pandemic COVID-19. The pandemic has already infected more than one hundred and three million people, killing about two and a quarter million of them. Recently, several vaccines to inoculate people against the ongoing pandemic have been approved. People in most of the countries are being injected with these vaccines. While the world awaits for the outcome of the ongoing vaccinations, a more aggressive strain of coronavirus is killing many people in several countries, including the UK, the USA, Netherland, South Africa, and Australia. The ongoing pandemic has severely affected almost all aspects of our lives; education being one of them. As a result, majority of students in the world have completely lost access to the traditional way of institutional learning, while others have suffered in different ways and to a lesser degree. Many universities, colleges, and schools were closed during the initial pandemic lockdown during March-May, 2020. Luckily, some higher education institutions were better equipped to switch over to online teaching, either using a Learning Management System (LMS) or use some other online tools to connect with their students. With the help of surveys of students and teachers from several countries, this article aims to analyze the damage caused to the education sector by the pandemic at the global level. Guided by our literature review, and analysis of responses to our two surveys, we also provide a framework for a national education system, which could withstand future global crises like the one created by the COVID-19, and ensure continuity of education to all, especially the poor sections of the society. © Bharati Vidyapeeth's Institute of Computer Applications and Management 2021.Entities:
Keywords: COVID-19; Coronavirus vaccine; Higher education; New strain of coronavirus; Online teaching; Survey; Universal education model
Year: 2021 PMID: 33681698 PMCID: PMC7917168 DOI: 10.1007/s41870-021-00629-7
Source DB: PubMed Journal: Int J Inf Technol ISSN: 2511-2104
Means, standard deviations, correlations, and reliabilities
| Variables | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1. Impact of COVID-19 on learning | 3.52 | 1.07 | |||||||||
| 2. Online learning issues | 3.20 | 0.99 | 0.37** | ||||||||
| 3. Teacher—students Interaction during online classes | 3.01 | 0.96 | 0.36** | 0.46** | |||||||
| 4. Benefits of online classes | 3.45 | 0.70 | − | − 0.08 | − 0.17 | ||||||
| 5. Need for national system for learning | 3.97 | 0.66 | − 0.002 | 0.33** | 0.24* | 0.17 | |||||
| 6. Face-to-face classes | 4.12 | 0.99 | 0.25* | 0.34** | 0.54* | − 0.21 | 0.47** | ||||
| 7. Hybrid classes | 3.74 | 1.11 | − 0.07 | 0.14 | 0.20 | 0.14 | 0.21 | 0.07 | |||
| 8. Online classes | 2.54 | 1.01 | − 0.004 | − 0.004 | 0.06 | 0.2* | 0.16 | − 0.17 | 0.16 | ||
| 9. Virtual classes in emergencies | 3.31 | 1.32 | 0.03 | 0.12 | − 0.26* | 0.25* | 0.56** | − 0.20 | − 0.20 |
The Boldfaced diagonal elements are Reliability, Instructors Survey
n = 74, M mean, SD standard deviation
*p < 0.05
**p < 0.01
Means, standard deviations, correlations, and reliabilities
| Variables | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | |
|---|---|---|---|---|---|---|---|---|---|---|
| 1. Impact of COVID-19 on learning | 3.55 | 1.09 | 0.85 | |||||||
| 2. Online learning issues | 3.60 | 0.97 | 0.78 | |||||||
| 3. Teacher—students interaction during online classes | 2.70 | 0.75 | 0.74 | |||||||
| 4. Benefits of online classes | 3.43 | 0.90 | − | − | − | 0.82 | ||||
| 5. Need for national system for learning | 3.95 | 0.73 | 0.07 | − 0.05* | 0.22** | 0.75 | ||||
| 6. Face-to-face classes | 3.96 | 1.00 | − | − 0.12* | — | |||||
| 7. Hybrid classes | 3.82 | 1.07 | − 0.01 | − | − | 0.26** | − 0.90 | — | ||
| 8. Online classes | 2.97 | 1.25 | − | − | − | 0.41** | − | — |
n = 298, M mean, SD standard deviation
The boldfaced diagonal elements are Reliability, Students Survey
*p < 0.05
**p < 0.01
Sample student’s characteristics
| Freq ( | % | |
|---|---|---|
| Gender | ||
| Male | 216 | 72.5 |
| Female | 82 | 27.5 |
| Education | ||
| Undergraduate | 198 | 66.4 |
| Graduate | 100 | 33.6 |
| Nationality | ||
| Saudi | 63 | 21.1 |
| Indian | 219 | 73.5 |
| Others | 16 | 5.4 |
| Field of study | ||
| Social science | 59 | 19.8 |
| Computing | 106 | 35.6 |
| Engineering | 127 | 43.6 |
| Age | ||
| 18–24 years | 258 | 86.6 |
| Over 25 year | 40 | 13.4 |
| Computer skills | ||
| Basic | 172 | 57.7 |
| Advance | 126 | 42.3 |
| Study courses nature | ||
| Theoretical | 68 | 22.8 |
| Laboratory intensive | 10 | 3.4 |
| Both | 220 | 73.8 |
| LMS access | ||
| Yes | 67 | 22.5 |
| No | 231 | 77.5 |
| LMS | ||
| Blackboard | 133 | 44.6 |
| Open source | 43 | 14.4 |
| Other | 122 | 40.9 |
| Comfort with online | ||
| No | 67 | 22.5 |
| Yes | 231 | 77.5 |
Sample questions from Questionnaires
| From Teachers’ Questionnaire |
|---|
| COVID-19 has affected my teaching during March–June, 2020 |
| My institution organised online classes for teaching of my courses |
| Often, I had difficulty in understanding some of my students’ questions due to technical issues |
| By designing smart assessments, cheating in online assessments can be contained |
| As far as possible, the examinations should be conducted in a supervised manner |
| Each country should have centres to train instructors and students to effectively use online tools |
Sample questions from Questionnaires
| From Students’ Questionnaire |
|---|
| COVID-19 has affected my learning during March–June, 2020 |
| My institution organised online classes of my courses |
| Instructors of my instructor with me during virtual classes was poor |
| Often, I had difficulty in understanding instructor’s response to my questions |
| Open book assessments are better way of testing knowledge |
| Each country should facilitate all educational institutions with unified online educational tools |