Open Access
| Issue |
E3S Web Conf.
Volume 258, 2021
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2021)
|
|
|---|---|---|
| Article Number | 07071 | |
| Number of page(s) | 9 | |
| Section | Psychology of Environmentally Responsible Behavior | |
| DOI | https://doi.org/10.1051/e3sconf/202125807071 | |
| Published online | 20 May 2021 | |
- S. Alkhalaf, S. Drew, R. AlGhamdi, O. Alfarraj, E-Learning System on Higher Education Institutions in KSA: Attitudes and Perceptions of Faculty Members. Procedia - Social and Behavioral Sciences, 47, 1199–1205 (2012) https://doi.org/10.1016/j.sbspro.2012.06.800 [Google Scholar]
- S.I. Bauk, Assessing student’s perception of e-learning in blended environment: an experimental study. Procedia – social and behavioral sciences, 191, 323–329 (2015) Doi: 10.1016/j.sbspro.2015.04.393 [Google Scholar]
- A. Draghici, A. Popescu, G. Fistis, C. Borca, Behaviour Attributes that Nurture the Sense of E-learning Community Perception. Procedia Technology, 16, 745–754 (2014) https://doi.org/10.1016/j.protcy.2014.10.024 [Google Scholar]
- F. Han, R. Ellis, Predicting Students’ Academic Performance by Their Online Learning Patterns in a Blended Course: To What Extent Is a Theory driven Approach and a Data driven Approach Consistent? Educational Technology & Society, 24(1), 191–204 (2021) doi:10.2307/26977867 [Google Scholar]
- M. Hung, C. Chou, C. Chen, A. Own, Learner readiness for online learning: Scale development and student perceptions. Computers & Education, 55(3), 1080–1090 (2010) https://doi.org/10.1016/j.compedu.2010.05.004. [Google Scholar]
- N.K. Ibrahim, et all., Medical students’ acceptance and perceptions of e-learning during the Covid-19 closure time in King Abdulaziz University, Jeddah. Journal of Infection and Public Health, 14(1), 17–23 (2021) [CrossRef] [PubMed] [Google Scholar]
- H. Kimiloglu, M. Ozturan, B. Kutlu, Perceptions about and attitude toward the usage of e-learning in corporate training. Computers in Human Behavior, 72, 339–449 (2017) https://doi.org/10.1016/j.chb.2017.02.062 [Google Scholar]
- V.V. Kovalev, A.V. Dyatlov, K.V. Vodenko, Evaluating the quality of online education (based on the materials of focused interviews in student groups). Bulletin of the South Russian state technical university. Series: Socio-economic sciences, 13(3), 6–14 (2020) [Google Scholar]
- J. Lee, W. Lee, The relationship of e-Learner’s self-regulatory efficacy and perception of e-Learning environmental quality. Computers in Human Behavior, 24(1), 32–47 (2008) https://doi.org/10.1016/j.chb.2006.12.001 [Google Scholar]
- K. Lister, V.K. Pearson, D. Collins, G.J. Davies, valuating inclusion in distance learning: a survey of university staff attitudes, practices and training needs, Innovation. The European Journal of Social Science Research (2020). Doi: 10.1080/13511610.2020.1828048 [Google Scholar]
- A.V. Lubsky, V.V. Kovalev, From online high school to online education. Humanitarian of the South of Russia, 9(2), 33–50 (2020) [Google Scholar]
- R. Petty, J. Cacioppo, Communication and persuasion: central and peripheral routes to attitude change. Springer series in social psychology (1986) ISBN: 978-0387963440 [Google Scholar]
- S.V. Sergeev, Cognitive Pedagogy: Peculiarities of Adult Learning and Education. Pedagogy. Psychology, Philosophy, 3(03), 30–35 (2016) [Google Scholar]
- Y. Tao, Typology of college student perception on institutional e-learning issues – An extension study of a teacher’s typology in Taiwan. Computers & Education, 50(4), 1495–1508 (2008) https://doi.org/10.1016/j.compedu.2007.02.002 [Google Scholar]
- Y. Wang, Integrating Games, e-Books and AR Techniques to Support Project-based Science Learning. Educational Technology & Society, 23(3), 53–67 (2020) doi:10.2307/26926426 [Google Scholar]
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