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Tal Samuel-Azran; Shira Goldberg; Tsahi Hayat; Yair Amichai-Hamburger – SAGE Open, 2025
Social factors, including social ties (the extent to which students form social ties with other students in the course) and social capital (the resources which are accessed through our social networks), have been acknowledged as important predictors of learning outcomes. Furthermore, they may be particularly important in online distance learning…
Descriptors: Social Capital, Electronic Learning, Online Courses, Student Satisfaction
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Zui Cheng; Zhuo Zhang; Qian Xu; Yukiko Maeda; Peidi Gu – Journal of Computing in Higher Education, 2025
Research on academic performance in online education proliferated in the last decade; however, our current understanding of the relationship between self-regulated learning and academic performance in online learning environments remains scattered. This meta-analysis provides a holistic view of the relationship between learners' use of…
Descriptors: Meta Analysis, Independent Study, Learning Strategies, Academic Achievement
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Andrew Walker; Naomi R. Aguiar; Raechel N. Soicher; Yu-Chun Kuo; Jessica Resig – Online Learning, 2024
In higher education, motivational factors are considered one of "the strongest predictors of academic performance" (Honike et al., 2020, p. 1). A meta-analysis of face-to-face (f2f) courses (Richardson et al., 2012) supports these claims, finding a strong correlation between performance self-efficacy and academic performance (r = 0.59),…
Descriptors: Student Motivation, Performance, Correlation, Electronic Learning
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Changqin Huang; Yaxin Tu; Tao He; Zhongmei Han; Xuemei Wu – European Journal of Psychology of Education, 2024
Students always suffer from burnout during online learning. Although social support and cognitive engagement are associated with learning burnout, limited information is available on whether and how these relationships change over time in an online learning setting. This study investigated the longitudinal relationships between social support,…
Descriptors: Electronic Learning, Burnout, Learner Engagement, Cognitive Ability
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Shipra Pathak; Navjit Singh – Journal of Educators Online, 2024
The purpose of this study is to explore the mediating role of satisfaction on attitude and usage continuity of higher education students in National Assessment and Accreditation Council accrediated institutes in India in the context of an elearning environment. To investigate the issue, we collected data from 634 students in the elearning…
Descriptors: Electronic Learning, Foreign Countries, Developing Nations, Higher Education
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Ismail; Syukri; Sukmawati, Ati – Pegem Journal of Education and Instruction, 2022
This study aims to determine the level of student online learning readiness (OLR) and scrutinize its correlation with students' learning achievement (LA). To achieve this goal, a quantitative correlational design study was conducted. The participants of this study were fifty-six students joining Islamic Philosophy course (IPC) in a first semester…
Descriptors: College Students, Electronic Learning, Readiness, Academic Achievement
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Sönmez, Selami; Korucuk, Murat – Shanlax International Journal of Education, 2023
In this study, students' e-learning styles (ELS) and attitudes towards online learning were examined. Besides, it was also aimed to reveal the relationship between students' ELS and their attitudes towards online learning. Another of the main aims of the study is; the aim of this study is to explain the effect of university students' e-learning…
Descriptors: Educational Technology, Electronic Learning, Student Attitudes, Cognitive Style
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Sevim-Cirak, Nese; Erol, Osman; Baser-Gulsoy, Vesile Gul – Journal of Educational Technology and Online Learning, 2023
Students' readiness for e-learning is necessary in order to make the e-learning process more effective. Readiness for e-learning refers to the degree of having pre-knowledge and skills, and affective characteristics such as the necessary attitude and motivation to experience this process most effectively. Academic orientations of the students also…
Descriptors: College Students, Electronic Learning, Readiness, Goal Orientation
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Yuyu Dai; Xuebu Hu – Education and Information Technologies, 2025
Online learning as an emerging learning method has a significant impact on education, which cannot be ignored. This article explores the relationship between engagement (including cognition, behavior and emotion), motivation, environment, and college students' concentration in online learning during the COVID-19 pandemic. A total of 889 college…
Descriptors: Foreign Countries, College Students, Attention, Electronic Learning
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Tseng, Chun-Hsiung; Lin, Hao-Chiang Koong; Chen, Yung-Hui; Lin, Jia-Rou; Huang, Andrew Chih-Wei – Cogent Education, 2022
Past researches show that personality trait is a strong predictor for one's academic performance. Today, mature and verified marker systems for assessing personality traits already exist. However, marker systems-based assessing methods have their own limitations. For example, dishonest responses cannot be avoided. In this research, the goal is to…
Descriptors: Student Characteristics, Personality Traits, Correlation, Physiology
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Salimon, Maruf Gbadebo; Mokhtar, Sany Sanuri Mohd; Aliyu, Olayemi Abdullateef; Yusr, Maha Mohammed; Perumal, Selvan – Journal of Applied Research in Higher Education, 2023
Purpose: E-learning system has been widely acknowledged to have positive impacts on the learning process. Nevertheless, the intention to use it is globally low, thereby constituting puzzles to be solved. This study aims to proffer some insights to solve the puzzles. Design/methodology/approach: The data of the study were collected through an…
Descriptors: Foreign Countries, Electronic Learning, Educational Technology, Intention
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Li Zhao; Yue Liu; Yu-Sheng Su – Educational Technology & Society, 2023
The digital skills divide has been raised as a serious issue during the COVID-19. However, few studies explored the predictive influence of personality traits on college students' digital skills in online learning. To address this gap, this study took the second-level digital divide as the focus to conduct a two-round survey of college students…
Descriptors: Personality Traits, Rural Urban Differences, College Students, Electronic Learning
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Kian Yeik Koay; Wai Ching Poon – Journal of Applied Research in Higher Education, 2023
Purpose: Online learning has become more popular than ever in higher education owing to the COVID-19 pandemic. However, this has also intensified students' propensity to engage in cyberslacking behaviour during online classes without the physical presence of instructors to monitor their behaviour. Hence, this research aims to investigate the…
Descriptors: Electronic Learning, Student Participation, Student Behavior, Educational Environment
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El-Sabagh, Hassan A. – International Journal of Educational Technology in Higher Education, 2021
Adaptive e-learning is viewed as stimulation to support learning and improve student engagement, so designing appropriate adaptive e-learning environments contributes to personalizing instruction to reinforce learning outcomes. The purpose of this paper is to design an adaptive e-learning environment based on students' learning styles and study…
Descriptors: Electronic Learning, Educational Environment, Cognitive Style, Correlation
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Muhammad Ayub Buzdar; Hamid Ikram – Online Learning, 2024
The effects of COVID-19 remained significant on university students' social and academic well-being. The pandemic raised various mental and psychological challenges for the students, and had the potential to deteriorate their academic engagement and performance in online learning environments. The emotion regulation theory hypothesizes that…
Descriptors: COVID-19, Pandemics, Stress Variables, Cognitive Processes
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