| Literature DB >> 35083378 |
Mosharrof Hosen1, Mohammad Nazim Uddin1, Shahadat Hossain2, Md Asadul Islam3, Afzal Ahmad1.
Abstract
The COVID-19 forced to transform face-to-face mode of teaching to virtual in educational institutions around the globe that not only impact institutional stakeholders, but also posed as a threat to entire humanity because, all parties related to education had to change their activities. The intentions of this study therefore firstly, to determine the content analysis by interviewing tertiary students and secondly, to determine the frequency distribution by questionnaire developed from results of the content analysis. To better understand the consequences of this outbreak, we took an interview from forty respondents, including undergraduate and postgraduate students across Bangladesh. Results of Content analysis revealed that stakeholders of tertiary education are encountering severe problems in mental health, financial, technical, and study. A questionnaire was designed based on results were obtained through content analysis and distributed using email, WhatsApp, LinkedIn, Telegram, Facebook, and Instagram from May 20 to May 30, 2021. A total number of 505 valid questionnaires were received from respondents. Frequency distribution analysis disclosed that 60% respondents have no separate reading rooms. Laptops and desktops are commonly used for online classes, but unfortunately, 21% respondents have no personal electronic gadgets. Moreover, 55% reported spending less time to study during the coronavirus outbreak. Furthermore, 88% respondents reported experiencing mental health-related stress, anxiety, and depression problems. The proportion that suffered financial crisis, family disruptions, internet and technology related problems were 79%, 83% and 72% respectively. Since coronavirus pandemic is a totally new phenomenon in the world, not much empirical literature exist. So we fill the gap, investigating the issue empirically using content and frequency distribution analysis. Policy implications and recommendations are discussed accordingly.Entities:
Keywords: Bangladesh; COVID-19; Coronavirus; Online learning; Tertiary education
Year: 2022 PMID: 35083378 PMCID: PMC8776340 DOI: 10.1016/j.heliyon.2022.e08806
Source DB: PubMed Journal: Heliyon ISSN: 2405-8440
Summary of related study's findings.
| Contributors | Covered area | Methodology | Key findings |
|---|---|---|---|
| United States | Conceptual article | The findings emphasised more on improving Telecommuting systems with students, patience and school authorities. The counselling system should be convenient, and the school authorities should create a new avenue on their website for responding to frequently asked questions. | |
| American Universities | Conceptual article | The author posits that in order to accelerate E-learning system in American universities, securitization could be taken into consideration. | |
| Philippines | Conceptual article | The author suggested revising the curriculum of study and syllabus. | |
| Nigeria | Conceptual article | The authors recommended increasing research funding by the government. | |
| Ghana | Survey analysis | COVID-19 has a negative effect on higher education institutions and recommended to authorities to provide offline E-learning system. | |
| General perspective | Conceptual article | The author found mental health would be the utmost important to handle the COVID-19 situation. The university should update all the health-related information to students daily and take good care of international students. | |
| Spain | Generalized Linear Models (GLM) | Around 20%–35% students were impacted by mental disorder due to the COVID-19 pandemic. | |
| West Bengal, India | Percentage distribution analysis | COVID-19 has a significantly negative impact on students' study and mental health in India. In West Bengal, around 70% students continue their education through online. | |
| General perspective | Conceptual article | In order to mitigate the risk of COVID-19 the government should put in place appropriate plans in the short term and long-term basis. Thus, students and academics should cooperate properly to execute government roles. | |
| Global perspective | Meta-analysis | The findings indicated that university authorities should provide more staff training and encourage students to participate in online classes. | |
| Global perspective | Conceptual article | The findings posit that due to the closing down of all educational institutions, heavy socio-economic problems around the globe arose. | |
| Bangladesh | Conceptual article | The results reveal that education system negatively impacted the economy compared to other sectors such as banks, and readymade garments. | |
| General perspective | Conceptual article | The findings outlined that COVID-19 increased the digital inequality that drastically impacts on education and the economy. | |
| United Kingdom | Conceptual article | The authors report that COVID-19 has different impacts on different households. The higher and middle-income group have a different effects. Thus, tertiary level and school level students have a different impact from COVID. | |
| General perspective | Conceptual article | As most countries cannot sustain economic pressure to combat COVID-19, the authors argued that they should adopt the Adult Learning and Education model. This model emphasises that if people are aware of the virus and know what should be done and should not be done, the level of impact would be decreased sharply, and economic activities can be resumed. | |
Figure 1The procedure of data collection to analysis.
Content analysis result.
| Respondents | Theme | Code | Categories | Frequency | Percentage |
|---|---|---|---|---|---|
| Undergraduate students | Difficult to understand during online classes (6) Wasting a lot of time on online gaming rather than studying (3) We cannot interact with lecturers (5) My lecturers are not cooperative (3) I cannot do my final year project (3) I cannot do my internship (2) | Study descriptors | Difficult to perform online study | 22 | 26.19 |
I have anxiety all the time when studying online (6) I have headaches after working a long time on Laptop (7) I feel depressed when undertaking E-Learning (7) | Health descriptors | Having mental stress and anxiety | 20 | 23.81 | |
Staying home during the lockdown is quite boring (7) Cannot get help from friends (3) Cannot mingle with friends (2) My study environment at home is not favourable (5) | Personal descriptors | Difficult to stay home | 17 | 20.24 | |
Internet connectivity is not stable all the time (7) Mobile data is not affordable (2) | Technical descriptors | Internet connection is not stable, and the rate is high | 9 | 10.71 | |
I am having financial crisis. (6) My father has no savings (2) Sometimes my parents cannot afford internet bill (2) My family suffers a lot (1) My family has problem to pay tuition fees (2) The government and institution should support (3) | Financial descriptors | Financial condition is not good enough | 16 | 19.05 | |
| Total | 84 | 100 | |||
| Postgraduate students | Study at home is not convenient (4) I cannot do my lab activities (5) I cannot collect my research data (5) We cannot interact with lecturers (5) | Study descriptors | Difficult to continue study and research | 19 | 27.94 |
Feel disappointed while doing my research (6) I feel stress on online activities (4) | Health descriptors | Having mental stress and anxiety | 10 | 14.71 | |
Wasting time (5) Need to give more time to family (7) Usually, get disruption from family members (5) | Personal descriptors | Difficult to stay home | 17 | 25.00 | |
Internet connectivity is not stable all the time (5) Mobile data is not affordable (3) | Technical descriptors | Internet connection is not stable, and the rate is high | 8 | 11.76 | |
I am having financial crisis (7) My family has problem to pay tuition fees (5) The government and institution should support (2) | Financial descriptors | Financial condition is not well enough | 14 | 20.59 | |
| Total | 68 | 100 | |||
Demographic profile of respondents.
| Characteristics | Counts | Percentage | |
|---|---|---|---|
| Respondents | Undergraduate | 310 | 61.39 |
| Postgraduate | 195 | 38.61 | |
| Sex | Male | 272 | 53.86 |
| Female | 233 | 46.14 | |
| Program | Science | 237 | 46.93 |
| Business studies | 178 | 35.25 | |
| Art and humanities | 90 | 17.82 | |
| Age | 25-above | 325 | 64.36 |
| 25-bellow | 180 | 35.64 | |
| Residential Area | Urban | 218 | 43.17 |
| Rural | 287 | 56.83 | |
Respondents knowledge and conditions during lockdown.
| Particulars | Frequency | Percentage |
|---|---|---|
| Personal interaction | 115 | 22.77 |
| Newspaper | 75 | 14.85 |
| Television | 98 | 19.41 |
| Social Media | 217 | 42.97 |
| Near to university area or rented house | 119 | 23.56 |
| Went back to hometown (if applicable) | 386 | 76.44 |
| Yes | 203 | 40.20 |
| No | 302 | 59.80 |
| Mobile phone | 176 | 34.85 |
| Laptop or desktop computer | 238 | 47.13 |
| Others | 91 | 18.02 |
| Borrowed from friends or relatives | 16 | 3.17 |
| Borrowed from family members | 91 | 18.02 |
| Personal | 398 | 78.81 |
Online class-related information.
| Items | Count | Percentage |
|---|---|---|
| Yes | 78 | 20.58 |
| No | 301 | 79.42 |
| Everyday | 35 | 8.88 |
| Above three days | 126 | 31.98 |
| Less than three days | 233 | 59.14 |
| Zoom App | 158 | 43.17 |
| Microsoft Team | 139 | 37.98 |
| YouTube Live | 17 | 4.64 |
| Google classroom | 34 | 9.29 |
| Others | 18 | 4.92 |
| University online portal | 69 | 15.58 |
| 126 | 28.44 | |
| Zoom App | 91 | 20.54 |
| Microsoft Team | 112 | 25.28 |
| Others | 45 | 10.16 |
| >50% | 158 | 44.63 |
| <50% | 196 | 55.37 |
| Same as a normal situation | 48 | 13.04 |
| More than a normal situation | 119 | 32.34 |
| Less than normal situation | 201 | 54.62 |
Problems and economic condition.
| Particulars | Frequency | Percentage |
|---|---|---|
| Yes | 422 | 87.92 |
| No | 58 | 12.08 |
| Yes | 331 | 71.96 |
| No | 129 | 28.04 |
| Yes | 309 | 70.87 |
| No | 127 | 29.13 |
| Yes | 326 | 75.12 |
| No | 108 | 24.88 |
| Yes | 380 | 79.00 |
| No | 101 | 21.00 |
| Yes | 405 | 82.99 |
| No | 83 | 17.01 |