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Berestova, Anna; Burdina, Gulnara; Lobuteva, Liudmila; Lobuteva, Alisa – Electronic Journal of e-Learning, 2022
One of the most important factors in successful e- learning is the motivation of the student. This article examines the very essence of student motivation in the context of e-learning and identifies the factors that influence it. The investigation involved 123 five-year students of the Elabuga Institute of Kazan Federal University and the I.M.…
Descriptors: Student Motivation, College Students, Electronic Learning, Educational Environment
Robert Whannell; Mitchell Parkes; Tim Bartlett-Taylor; Ingrid Harrington – Electronic Journal of e-Learning, 2024
This study reports on two key aspects relating to the use of the Online Learning Readiness Self-Check (OLRSC) survey, which has been proposed as identifying non-traditional students' readiness for online learning, and their strengths and weaknesses in six key areas. The first aspect validates the use of the instrument based on data from 199…
Descriptors: Learning Readiness, Electronic Learning, Surveys, Measures (Individuals)
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
Wolverton, Colleen Carraher; Guidry Hollier, Brandi N.; Lanier, Patricia A. – Electronic Journal of e-Learning, 2020
As countless regional, national, and international accrediting bodies continue to employ student engagement measures as mechanisms for quality assurance, universities become more intent on achieving this important gauge of student success. Specifically, the growth in enrollment in distance learning programs adds a unique level of complexity…
Descriptors: Self Efficacy, Computer Literacy, Learner Engagement, Group Experience
Olugbara, Cecilia Temilola; Letseka, Moeketsi – Electronic Journal of e-Learning, 2020
This study investigated the possible factors that predict e-learning integration into the teaching and learning of science subjects among preservice science teachers. A unified e-learning integration model was developed in which factors such as attitude, intention, skill and flow experience served as precursors of e-learning integration. This was…
Descriptors: Electronic Learning, Technology Integration, Predictor Variables, Preservice Teachers
Foung, Dennis; Chen, Julia – Electronic Journal of e-Learning, 2019
In recent years, research using learning analytics to predict learning outcomes has begun to increase. This emerging field of research advocates the use of readily-available data to inform teaching and learning. The current case study adopts a learning analytics approach to evaluate the online learning package of an academic English course in a…
Descriptors: Foreign Countries, Blended Learning, Electronic Learning, English for Academic Purposes
Kushnir, Lena Paulo – Electronic Journal of e-Learning, 2009
Students often report feeling more overloaded in courses that use e-learning environments compared to traditional face-to-face courses that do not use such environments. Discussions here consider online design and organizational factors that might contribute to students' reports of information overload. It was predicted that certain online factors…
Descriptors: Online Courses, Internet, Electronic Learning, Outcomes of Education