| Literature DB >> 35791317 |
Mahdi Sofi-Karim1, Ahmed Omar Bali1, Kardo Rached1.
Abstract
Online teaching has globally become a part of the learning process and has been more well-established in developed countries. In developing countries, online teaching or e-Learning is not practiced or recognized officially by educational organizations and policymakers. On the other hand, it is well-known that computers and technology are the future; in such a case, the advancement of distance-learning or online learning is immensely remarkable. It has reduced teachers' and students' introversion concerning e-learning and technology and has provided a platform for learning new technologies and developing new skills. The recent COVID-19 lockdown impelled governments to start implementing E-learning in schools, which resulted in several challenges. This study attempts to analyze and interpret the challenges and potentials of implementing online learning by surveying through an online questionnaire using 'Google Forms' (N = 968) with responses from high school and primary school English teachers during the first week of March through the last week of April. The findings revealed that most teachers had negative perceptions of implementing e-learning for several reasons, including lack of essential facilities such as electricity, electronic devices, and the absence of required skills. The actual contributions of students and educators are also among the major obstacles. This research suggests introducing Information Communication Technology modules across media platforms and applications in the education departments, opening intensive courses for teachers, and developing educational facilities in the education departments and schools to overcome these limitations and challenges.Entities:
Keywords: COVID-19 lockdown; Challenges; Developing countries; E-learning; Information Communication Technology modules; Online teaching; Teachers
Year: 2022 PMID: 35791317 PMCID: PMC9247945 DOI: 10.1007/s10639-022-11188-0
Source DB: PubMed Journal: Educ Inf Technol (Dordr) ISSN: 1360-2357
Participants’ demographic information
| Male | Female | |||||
| 53.3 | 47.3 | |||||
| 20–35 | 36–50 | 51 or above | ||||
| 43.7 | 53.9 | 2.4 | ||||
| City | Large Town | Small Town | Village | |||
| 56 | 16.7 | 12.5 | 14.9 | |||
| Government Basic School | Government High School | Private Basic School | Private High School | International School | Private Centers | |
| 59.5 | 32.1 | 2 | 1.2 | 1.4 | 3.6 |
Teachers’ attitudes towards implementing fully and partially online teaching of English language
| Statements | Yes | No | I Do Not Know |
|---|---|---|---|
| % | % | % | |
| Implementing online teaching of English language fully | 11.3 | 85.1 | 3.6 |
| Implementing online teaching of English language partially | 48.2 | 45.2 | 6.5 |
Using online teaching for English language skills
| Skills | |
|---|---|
| Listening | 54.7 |
| Speaking | 42.2 |
| Reading | 45.3 |
| Writing | 24.2 |
| Grammar | 43.5 |
| Vocabulary | 1.6 |
| None of them | 20.2 |
Obstacles of implementing online teaching from teachers’ perspectives
| Statements representing the obstacles | % |
|---|---|
| lack of teachers’ expertise in using ICT in teaching | 53.6 |
| Lack of students’ expertise in using ICT for learning | 69.9 |
| Poor internet service quality | 84.9 |
| Teachers do not have laptops | 49.4 |
| Students do not have laptops or smartphones | 72.9 |
| Lack of trust in online learning by students | 43.4 |
| Lack of trust in online learning by the majority of teachers | 38 |
| Ministry of Eduction’s lack of trust in teachers competencies in the implementation of online teaching | 23.5 |
| Lack of Electricity | 1.2 |
| Cost of the internet for students | 1.2 |
The respondents were allowed to choose more than one choice
The t-Test Model and the One-Way ANOVA Model reports teachers’ perceptions of fully and partially implementing online teaching based on their gender and age backgrounds
| Variables | Gender differences are tested using the t-test | ||||
| M | SD | t-test | Sig | ||
| Implementing online teaching of the English language fully | .98 | ||||
| Male | 1.19 | .499 | .124 | ||
| Female | 1.18 | .506 | .123 | ||
| Implementing online teaching of the English language partially | .02 | ||||
| Male | 1.67 | .560 | 1.36 | ||
| Female | 1.55 | .660 | 1.34 | ||
| Using ANOVA for teasing Age differences | |||||
| Implementing online teaching of English language fully | M | df | f | Sig | |
| Between groups | 1.30 | 2 | 2.94 | 0.056 | |
| Young teachers (20-35) | |||||
| Middle age teachers (36-50) | Within groups | 35.8 | 162 | ||
| Teachers aged 51 or above | |||||
| Implementing online teaching of the English language partially | M | df | f | Sig | |
| Young teachers (20-35) | Between groups | .79 | 2 | 1.075 | .34 |
| Middle age teachers (36-50) | |||||
| Teachers aged 51 or above | Within groups | 60.1 | 162 | ||
Values’ sig are referred to t-test of Sex and ANOVA for Age for the remaining categories, and sig value is significant at p ≤ 0.05
Correlation between job locations and geographical residence of teachers and Implementing online teaching of English language fully
| Variable | Mean | SD | Sig. (2-tailed) |
|---|---|---|---|
| Teachers’ job locations (cities, large towns, small towns, and villages) | 1.06 | 0.23 | 0.044 |
| Implementing online teaching of English language fully | 1.13 | 0.43 | |
| Teachers’ job locations (cities, large towns, small towns, and villages) | 1.06 | 0.23 | 0.59 |
| Implementing online teaching of the English language partially | 1.54 | 0.61 | |
| Teachers’ geographical residence (cities, large towns, small towns, and villages) | 3.15 | 1.21 | 0.22 |
| Implementing online teaching of English language fully | 1.13 | 0.43 | |
| Teachers’ geographical residence (cities, large towns, small towns, and villages) | 3.15 | 1.12 | .021 |
| Implementing online teaching of English language partially | 1.54 | 0.61 |
Correlation is significant at the 0.5 level(2-tailed)