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Ouyang, Fan; Zheng, Luyi; Jiao, Pengcheng – Education and Information Technologies, 2022
As online learning has been widely adopted in higher education in recent years, artificial intelligence (AI) has brought new ways for improving instruction and learning in online higher education. However, there is a lack of literature reviews that focuses on the functions, effects, and implications of applying AI in the online higher education…
Descriptors: Artificial Intelligence, Electronic Learning, Higher Education, Literature Reviews
Astatke, Melese; Weng, Cathy; Chen, Sufen – Interactive Learning Environments, 2023
Due to COVID-19 pandemic, schools all over the world have gone from full face-to-face to online lessons. This paper analyzed the influences of social networking sites (SNS) on secondary school students' academic achievement. The original studies were extracted from the Web of Science database, and the review of the 27 selected journal articles…
Descriptors: Literature Reviews, Social Networks, Secondary School Students, Academic Achievement
Irena M. Ilic; Milena D. Ilic – Scandinavian Journal of Educational Research, 2025
The goal of this narrative review was to summarize the literature findings regarding the occurrence and predictors of burnout syndrome in medical students in the online learning period during the COVID-19 pandemic. This review of identified relevant studies showed that their results were highly heterogeneous, primarily due to the important…
Descriptors: Electronic Learning, COVID-19, Pandemics, Medical Education
Granic, Andrina – Education and Information Technologies, 2022
During the past decades a respectable number and variety of theoretical perspectives and practical approaches have been advanced for studying determinants for prediction and explanation of user's behavior towards acceptance and adoption of educational technology. Aiming to identify the most prominent factors affecting and reliably predicting…
Descriptors: Educational Technology, Technology Integration, Predictor Variables, Electronic Learning
Hui-Tzu Hsu; Chih-Cheng Lin – Journal of Computer Assisted Learning, 2024
Background: Behavioural intention (BI) has been predicted using other variables by adopting the technology acceptance model (TAM). However, few studies have examined whether BI can predict learning performance. Objectives: The present study used an extended TAM to investigate whether students' BI is a predictor of their listening learning…
Descriptors: Intention, Vocabulary Development, Handheld Devices, College Students
Yunusa, Abdullahi Abubakar; Umar, Irfan Naufal – Education and Information Technologies, 2021
Over the past few decades, e-Learning has been implemented to account for the challenges of twenty-first-century learning propelled by the spread of the internet and the use of internet-based technologies. These dynamic changes informed research interests in the academia, from awareness and adoption studies, researchers are now focused on…
Descriptors: Predictor Variables, Electronic Learning, Student Satisfaction, Outcomes of Education
Hachey, Alyse C.; Conway, Katherine M.; Wladis, Claire; Karim, Shirsti – Journal of Computing in Higher Education, 2022
Even prior to the COVID-19 pandemic, online learning had become a fundamental part of post-secondary education. At the same time, empirical evidence from the last decade documents higher dropout online in comparison to face-to-face courses for some students. Thus, while online learning may provide students access to post-secondary education,…
Descriptors: Undergraduate Students, Student Characteristics, Demography, Online Courses
Arulkadacham, Lilani; McKenzie, Stephen; Aziz, Zahra; Chung, Jennifer; Dyer, Kyle; Holt, Christopher; Garivaldis, Filia; Mundy, Matthew – Journal of University Teaching and Learning Practice, 2021
Despite the increase in the availability and popularity of online educational programs, there is a lack of understanding of non-academic as well as academic predictors of online student success. In this study, we have investigated predictors of tertiary level student success via the Psychology discipline, a popular online subject. A systematic…
Descriptors: Predictor Variables, Online Courses, Literature Reviews, Focus Groups
James, Phillip C. – Higher Education Studies, 2021
COVID-19 has significantly changed the teaching-learning process and it may indeed be a permanent change. Schools, colleges and universities have had to switch to remote/e-learning in an attempt to continue their operations during the pandemic. Institutions have struggled to identify the key success factors necessary for effective e-learning.…
Descriptors: Student Satisfaction, College Students, Electronic Learning, Distance Education
Xie, Jingrong; Basham, James D.; Marino, Matthew T.; Rice, Mary F. – Journal of Special Education Technology, 2018
Mobile technologies have shown great potential in various educational settings. Moreover, there is an emerging research base demonstrating how students view and interact with mobile devices to learn. As more of these technologies enter inclusive educational settings, an understanding of the extant research base for mobile learning (M-learning) and…
Descriptors: Electronic Learning, Elementary Secondary Education, Disabilities, Special Needs Students
Snyder, Jennifer; Cudney, Elizabeth A. – Journal of STEM Education: Innovations and Research, 2017
During the last decade, there have been numerous reports detailing the importance of increasing science, technology, engineering, and math (STEM) majors in the United States. Simultaneously, an increasing number of studies are being developed to predict a student's success and completion of a STEM degree, recognizing that retention is a…
Descriptors: Community Colleges, Two Year College Students, Majors (Students), STEM Education
Faulconer, Emily K.; Gruss, Amy B. – International Review of Research in Open and Distributed Learning, 2018
The effectiveness of traditional face-to-face labs versus non-traditional online, remote, or distance labs is difficult to assess due to the lack of continuity in the literature between terminology, standard evaluation metrics, and the use of a wide variety non-traditional laboratory experience for online courses. This narrative review presents a…
Descriptors: Distance Education, Science Laboratories, Science Experiments, Laboratory Experiments
Chipere, Ngoni – International Journal on E-Learning, 2015
The objectives of the study were to identify best practices in online doctoral programming and to synthesise these practices into a framework for developing online doctoral programmes. The field of online doctoral studies is nascent and presents challenges for conventional forms of literature review. The literature was therefore reviewed using a…
Descriptors: Foreign Countries, Best Practices, Online Courses, Electronic Learning
Cheok, Mei Lick; Wong, Su Luan – International Journal of Instruction, 2015
This paper develops a theoretical model of the determinants of e-learning satisfaction in teaching and learning among secondary school teachers. It is based on reviews of past studies on satisfaction in using information technology systems. Three potential groups of determinants of satisfaction among secondary school teachers were identified;…
Descriptors: Electronic Learning, Secondary School Teachers, Information Technology, Satisfaction
McGee, Patricia; Valdes, Erin; Bullis, Danica – International Journal on E-Learning, 2016
While online course offerings have steadily risen over the last decade and it is estimated that 32% of college students have taken an online course (Allen & Seaman, 2013), the process of preparing students for blended and online courses has varied and is inconsistent across institutions. Attrition rates for online courses have been…
Descriptors: Blended Learning, Electronic Learning, Online Courses, College Students
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