Figure - uploaded by Ranjit Kumar Behera
Content may be subject to copyright.
Level of Attitude
Source publication
One of the unique contributions of technology in the field of Education is E-learning. The easy accessibility, flexible learning environment, and cost-effectiveness have made e-learning popular among students. Despite its many benefits, several problems have been faced by students, such as a lack of technical knowledge, computer experience, and int...
Contexts in source publication
Context 1
... of the objectives of the present study was to determine the attitude of undergraduate students toward E-learning. Table 1 and Figure 2 show the level of attitude. Table 1 shows that out of 120 students 5 (4.16%) students have extremely favourable attitude, 7 (5.83%) ...Context 2
... 1 and Figure 2 show the level of attitude. Table 1 shows that out of 120 students 5 (4.16%) students have extremely favourable attitude, 7 (5.83%) students have highly favourable attitude, 10 (8.33%) students have above average level attitude, 20 (16.66%) students have average level attitude, 25 (20.83%) ...Citations
... These perspectives are heavily influenced by local and cultural norms in certain settings (Hussain & Ali, 2022). Students' overall views on e-learning give light on their views on online English language learning in particular (Behera & Kumar, 2023). ...
... Important factors that predicted happiness, according to the regression analysis, were access to the internet, the ability to study at one's own pace, and the presence of supportive classmates. Consistent with the recommendations of Hussain and Ali (2022) and Behera and Kumar (2023), this highlights the significance of a reliable internet connection, adaptable learning alternatives, and chances for students to engage with one another in virtual classrooms. ...
The purpose of this research is to examine how first-year undergraduates at Al-Balqa Applied University feel about taking English classes online. The study collects data on 215 students' views on online learning's efficacy, technical tools, difficulties, learning modes, and general satisfaction using a standardized questionnaire. The data was analyzed using statistical tools such as t-tests, ANOVA, chi-square tests, and regression analysis. The results show that people are usually happy with online education, which is great because of all the benefits it offers, such ease and adaptability. Problems with internet access and being motivated were, however, major obstacles. There are notable gender disparities in the study's findings on preferred learning styles and a preference for mixed learning modalities. A high level of happiness with online learning was predicted by factors such as having access to the internet, the ability to choose when and how to study, and the opportunity to collaborate with classmates. According to the study's conclusions, online education programs should have a strong technical foundation, interactive learning resources, and individualized assistance. Despite its useful insights, the study notes its small sample size and lack of generalizability, pointing the way toward potential future studies.
