Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Asynchronous Communication | 3 |
Foreign Countries | 3 |
Online Courses | 3 |
Student Attitudes | 3 |
COVID-19 | 2 |
College Students | 2 |
Educational Technology | 2 |
Pandemics | 2 |
Synchronous Communication | 2 |
Access to Computers | 1 |
Accuracy | 1 |
More ▼ |
Source
International Journal of… | 3 |
Author
Bhattacharya, Samit | 1 |
Kumar, Rajeev | 1 |
Sengupta, Souvik | 1 |
Sharma, Kulwant Kumar | 1 |
Sood, Pallavi | 1 |
Wakjira, Abdalganiy | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Education Level
Higher Education | 3 |
Postsecondary Education | 3 |
Audience
Location
India | 3 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Sood, Pallavi; Sharma, Kulwant Kumar; Kumar, Rajeev – International Journal of Web-Based Learning and Teaching Technologies, 2022
As the novel coronavirus (COVID-19) spread rapidly across the globe, most educational institutions tried to address major challenges of engaging students in a productive way and disseminating knowledge through online learning. Given this consideration, the present study qualitatively explores the observations and experiences of a private…
Descriptors: Online Courses, COVID-19, Pandemics, College Students
Sengupta, Souvik – International Journal of Web-Based Learning and Teaching Technologies, 2022
The undergraduate and postgraduate studies of colleges and universities in India have been affected badly amidst the lockdowns for COVID-19 pandemic. The Government has insisted to start the academic activity through online platforms. The biggest concern for the academic institutions now is to select an appropriate e-learning platform. This paper…
Descriptors: Foreign Countries, COVID-19, Pandemics, Higher Education
Wakjira, Abdalganiy; Bhattacharya, Samit – International Journal of Web-Based Learning and Teaching Technologies, 2021
Students in the online learning who have other responsibilities of life such as work and family face attrition. Constructing a model of engagement with smallest granule of time has not been implemented widely, but implementing it is important as it allows to uncover more subtle patterns. We built a student engagement prediction model using 9…
Descriptors: Learner Engagement, Online Courses, Prediction, Models