NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 29 results Save | Export
Lakshmi, Y. Vijaya; Jadeja, Minalba – Online Submission, 2021
The COVID-19 pandemic is redefining the practices of higher education in an unprecedented way. E-learning can guarantee the right to higher education during the pandemic to the students of higher education and hence its adoption in teaching learning is now inevitable. The readiness of higher education faculty members towards E-learning is explored…
Descriptors: COVID-19, Pandemics, Electronic Learning, Readiness
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Bright Samohembo; Som Pal Baliyan – Journal of Education and e-Learning Research, 2024
This quantitative study identified challenges undergraduates faced in Botswana and predicted their readiness for online learning during COVID-19. A descriptive and correlational survey research design was adopted using the Technology Acceptance Model (TAM). A questionnaire was constructed for data collection from a randomly sampled 75 agriculture…
Descriptors: Foreign Countries, Undergraduate Students, Predictor Variables, Readiness
Oliver Wang – ProQuest LLC, 2023
Online education has grown rapidly in the United States and has accelerated since COVID-19. The prior history of online learning through online charter schools and online learning during COVID-19 failed to meet the needs of disadvantaged student populations, especially students of color and students with lower socioeconomic status. This study…
Descriptors: Electronic Learning, In Person Learning, Elementary School Students, Public Schools
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Fernández-Leyva, Christian; Tomé-Fernández, María; Ortiz-Marcos, José Manuel – Education Sciences, 2021
This study aims to expand the existing scientific, theoretical and empirical knowledge about the influence of the variables age, gender, nationality and place of residence on the probability of developing social skills that generate social wellbeing, and, in addition, to identify the relationship between the most influential variable and the…
Descriptors: Citizenship, Place of Residence, Age Differences, Gender Differences
Coleman, Shannon L. – ProQuest LLC, 2019
Online education has been experiencing steadily increasing enrollment rates and it is therefore vital to study student and institutional factors related to dropout risk for online students. Currently, prior research examining this rapidly developing field is limited. With online graduate programs experiencing continuous growth in enrollment rates,…
Descriptors: Graduate Students, Predictor Variables, Potential Dropouts, Online Courses
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Alshaboul, Yousef; Hamaidi, Diala; Arouri, Yousef; Alshaboul, Asia – Journal of Education and e-Learning Research, 2021
The COVID-19 pandemic has forced a worldwide revolution in our understanding of how to conduct education. International lockdowns were the catalyst for a global shift from traditional face-to-face learning to distance learning. This comparative study utilized a mixed method approach to investigate the readiness of Higher Education instructors and…
Descriptors: COVID-19, Pandemics, Distance Education, Online Courses
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ngabiyanto; Nurkhin, Ahmad; Mukhibad, Hasan; Harsono – European Journal of Educational Research, 2021
The purpose of this research is to provide empirical evidence of the influence of perceived usefulness, convenience, experience, gender, and age on the intention to use e-learning after the government's school closure policy due to the Coronavirus disease (COVID-19) pandemic. Our sample is junior high school teachers in Indonesia and the data are…
Descriptors: Electronic Learning, Technology Integration, COVID-19, Pandemics
Merritt, Andrea C. – ProQuest LLC, 2019
This mixed-methods case study examined the predictors of student satisfaction in an online learning environment. With the growth of online education in recent years, there is a desire to have quality programs with high student satisfaction. Through the use of surveys and interviews, the researcher analyzed whether learning styles, age, computer…
Descriptors: Cognitive Style, Predictor Variables, Student Satisfaction, Electronic Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Ssemugenyi, Fred; Nuru Seje, Tindi – Cogent Education, 2021
This study examined the question of whether the "emergency remote teaching" that was accidentally adopted during the pandemic will eventually lead to an acceleration of digitalizing the teaching and learning processes at PNGUoT. Utilizing a mixed-method explanatory sequential design, quantitative data were collected first and followed by…
Descriptors: Foreign Countries, COVID-19, Pandemics, Distance Education
Peer reviewed Peer reviewed
Direct linkDirect link
Firat, Mehmet; Bozkurt, Aras – Educational Media International, 2020
Online learning practices have gained momentum as a result of the developments in network technologies and an increase in the capacity of current technological devices that are used to deliver learning. While up-to-date studies have examined the online learning readiness of traditional higher education learners, there remains a need to examine it…
Descriptors: Electronic Learning, Distance Education, Learning Readiness, College Students
Peer reviewed Peer reviewed
Direct linkDirect link
Alasmari, Talal; Zhang, Ke – Education and Information Technologies, 2019
This article reports a two-phase study with (1) an extended framework on mobile learning technology acceptance, and (2) a mixed-method research investigating college students on the use and embracement of mobile learning technology acceptance in Saudi Arabia. The research extended the Unified Theory of Acceptance and Use of Technology (UTAUT)…
Descriptors: Foreign Countries, Handheld Devices, Telecommunications, Teaching Methods
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Davidovitch, Nitza; Yossel-Eisenbach, Yael – Journal of Education and e-Learning Research, 2019
This study examines undergraduate students' perceptions of academic teaching and factors that affect these perceptions, whether social background, secondary education, academic background, or learning habits. The study is based on the findings of a previous study conducted by the authors, which indicated two patterns of learning habits among…
Descriptors: Undergraduate Students, Student Attitudes, Resistance (Psychology), Technology Integration
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Gloria, Adedoja; Oluwadara, Abimbade – Journal of Education and Practice, 2016
Current instructional deliveries favour the use of mobile technology because of its inherent potentials and benefits such as portability, ease of use cost and others. Despite these benefits, many teachers especially in Sub-Saharan Africa still prefer the conventional method and use mobile phones for social engagements such as texting, chatting,…
Descriptors: Electronic Learning, Preservice Teachers, Social Studies, Technological Literacy
Peer reviewed Peer reviewed
Direct linkDirect link
Jeske, Debora; Roßnagell, Christian Stamov; Backhaus, Joy – Journal of Interactive Learning Research, 2014
We examined the role of learner characteristics as predictors of four aspects of e-learning performance, including knowledge test performance, learning confidence, learning efficiency, and navigational effectiveness. We used both self reports and log file records to compute the relevant statistics. Regression analyses showed that both need for…
Descriptors: Student Characteristics, Electronic Learning, Performance, Self Esteem
Peer reviewed Peer reviewed
Direct linkDirect link
Du, Jianxia; Xu, Jianzhong; Fan, Xitao – Technology, Pedagogy and Education, 2015
This study examined predictive models for students' help seeking in the context of online collaborative groupwork. Results from multilevel analysis revealed that most of the variance in help seeking was at the individual student level, and multiple variables at the individual level were predictive of help-seeking behaviour. Help seeking was…
Descriptors: Help Seeking, Cooperative Learning, Electronic Learning, Group Activities
Previous Page | Next Page »
Pages: 1  |  2