Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Computer Mediated… | 3 |
| Foreign Countries | 3 |
| Individual Differences | 3 |
| Predictor Variables | 3 |
| COVID-19 | 2 |
| Electronic Learning | 2 |
| Internet | 2 |
| Pandemics | 2 |
| Academic Achievement | 1 |
| Church Programs | 1 |
| Churches | 1 |
| More ▼ | |
Author
| Francis, Leslie J. | 1 |
| Ibili, Emin | 1 |
| Smolinski, Pawel Robert | 1 |
| Szostakowski, Marcin | 1 |
| Village, Andrew | 1 |
| Winiarski, Jacek | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Audience
Location
| Poland | 1 |
| Turkey | 1 |
| United Kingdom (England) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Village, Andrew; Francis, Leslie J. – Journal of Beliefs & Values, 2023
This study draws on data provided to the Covid-19 & Church-21 Survey by 2,017 Anglicans (clergy and laity) living in England to explore the experiences of those leading and those accessing online (pre-recorded and live-streamed) and in-church services within the Church of England between January and July 2021. The data demonstrated that for…
Descriptors: Foreign Countries, COVID-19, Pandemics, Churches
Smolinski, Pawel Robert; Szostakowski, Marcin; Winiarski, Jacek – Electronic Journal of e-Learning, 2023
The COVID-19 pandemic has caused an increase in the use of e-learning software. From the perspective of the decision-makers (school/university administration), it is crucial to understand what characteristics of the software are perceived by the users (teachers) as necessary for a task (e-learning). A popular method of determining these…
Descriptors: Electronic Learning, Computer Software, Use Studies, Teacher Behavior
Ibili, Emin – International Online Journal of Education and Teaching, 2020
In this study, the e-readiness levels of university students studying in the field of health sciences were examined in terms of different variables. In this context, whether the level of e-readiness differs according to gender, department, class level, type of education, device ownership, working status and economic level has been examined. In…
Descriptors: Health Education, College Students, Learning Readiness, Electronic Learning

Peer reviewed
Direct link
