Related Experiment Video
Updated: Oct 15, 2025

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
Published on: June 16, 2018
Perceived e-learning stress as an independent predictor of e-learning readiness: Results from a nationwide survey in
Humayun Kabir1,2,3, Sarker Mohammad Nasrullah1, Md Kamrul Hasan1,4
1Department of Public Health, North South University, Dhaka, Bangladesh.
Background:
E-learning is a relatively trending system of education that has been placed over conventional campus-based learning worldwide, especially since the emergence of the COVID-19 pandemic. This study aimed to assess e-learning readiness among university students of a developing country like Bangladesh and identify the independent predictors of e-learning readiness.
Methods:
From 26 December 2020 to 11 January 2021, a total of 1162 university students who had enrolled for e-learning completed a semi-structured questionnaire. Data were collected online via "Google Form" following the principles of snowball sampling through available social media platforms in Bangladesh. A multivariable linear regression model was fitted to investigate the association of e-learning readiness with perceived e-learning stress and other independent predictor variables.
Results:
A total of 1162 university students participated in this study. The results indicated that with the increase of students' perceived e-learning stress score, the average e-learning readiness score was significantly decreased (β = -0.43, 95% CI: -0.66, -0.20). The students did not seem ready, and none of the e-learning readiness scale items reached the highest mean score (5.0). The age, gender, divisional residence, preference of students and their parents, devices used, and having any eye problems were significantly associated with the students' e-learning readiness.
Conclusion:
During the prolonged period of the COVID-19 pandemic, e-learning implication strategies are needed to be assessed systematically with the level of readiness and its' impacts among students for the continuation of sound e-learning systems. The study findings recommend evaluating the e-learning readiness of university students and the mental health outcomes during the COVID-19 catastrophe in Bangladesh.
More Related Videos
13:44Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
08:33A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
Published on: September 4, 2019
Related Concept Videos
Introduction to Stress and Lifestyle
Psychological Responses to Stress
Other Stress Responses in Bacteria
Lazarus's Cognitive Appraisal Theory
Primary Appraisal:...
Stress: General Loading Conditions
The shearing force, possessing potential directionality within the plane of the section, is simplified into two component forces running parallel to the x and y axes....
Types of Stressors
Catastrophes
Catastrophes refer to large-scale, unpredictable events that create overwhelming stress and a sense of threat. Examples include natural disasters like...