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Christopher L. Thomas; Kristie Allen – Journal of College Student Retention: Research, Theory & Practice, 2024
The current study was designed to investigate the influence of COVID-19-related worry and online learning attitudes on enrollment behavior using the Reasoned Action Model. Participants (N = 246) completed measures of other-focused COVID-19 worry, self-focused COVID-19 worry, attitudes, perceived normative pressure, perceived behavioral control,…
Descriptors: COVID-19, Pandemics, College Students, Anxiety
Ramasamy, Siva Prakash; Shahzad, Arfan; Hassan, Rohail – Journal of Education, 2023
In the emergence of pandemic Coronavirus Disease (COVID-19), the delivery of education service becomes a global issue, and many traditional higher education institutes are shifting toward digital alternatives methods. E-learning is considered the most appropriate effective method of knowledge delivery to meet the current academic requirements.…
Descriptors: Foreign Countries, Electronic Learning, COVID-19, Pandemics
Smriti Mathur; Alok Tewari; Sushant Vishnoi; Vaishali Agarwal – Journal of International Education in Business, 2025
Purpose: The online learning environment is a function of dynamic market forces constantly restructuring the e-learning landscape's complete ecosystemcape. This study aims to propose an e-learning framework by integrating the Technology Acceptance Model (TAM) and Theory of Planned Behaviour (TPB) to predict students' Online Learning Readiness and…
Descriptors: Electronic Learning, Student Behavior, Developing Nations, Usability
Hanif, Aamer; Imran, Muhammad – Turkish Online Journal of Distance Education, 2022
During unusual times involving discontinued face to face sessions in formal education settings, mobile learning (m-learning) involving social networking sites has become a popular alternative since students are always in possession of handheld electronic devices. When connection through technology was the only option due to social distancing in…
Descriptors: Social Media, Electronic Learning, Handheld Devices, Student Behavior
Asadullah Khaskheli; Yushi Jiang; Syed Ali Raza; Sara Qamar Yousufi – Interactive Learning Environments, 2024
The global COVID-19 pandemic has led educational institutions to shut down and adopt e-learning practices through computer-mediated communication. An unanticipated switch of online classes from face-to-face classes isolates students from social groups and teachers, causing online disinhibition. Therefore, this paper investigates factors…
Descriptors: Social Isolation, Student Behavior, Electronic Learning, COVID-19
Seo, Kyoungwon; Tang, Joice; Roll, Ido; Fels, Sidney; Yoon, Dongwook – International Journal of Educational Technology in Higher Education, 2021
Artificial intelligence (AI) systems offer effective support for online learning and teaching, including personalizing learning for students, automating instructors' routine tasks, and powering adaptive assessments. However, while the opportunities for AI are promising, the impact of AI systems on the culture of, norms in, and expectations about…
Descriptors: Artificial Intelligence, Electronic Learning, Teacher Student Relationship, Interaction
Eraslan Yalcin, Muyesser; Kutlu, Birgul – British Journal of Educational Technology, 2019
The aim of this study is to examine students' acceptance of and intention to use Learning Management Systems (LMSs) for university education in Turkey using extended Technology Acceptance Model (e-TAM). TAM has been widely used in various fields of technology acceptance in the last years and is found to be highly useful for the determination of…
Descriptors: Foreign Countries, College Students, Student Attitudes, Computer Attitudes
Revythi, Anastasia; Tselios, Nikolaos – Education and Information Technologies, 2019
This study examines the acceptance of technology and behavioral intention to use learning management systems (LMS). In specific, the aim of the research reported in this paper is to examine whether students ultimately accept LMSs such as eClass and the impact of behavioral intention on their decision to use them. An extended version of technology…
Descriptors: Integrated Learning Systems, Computer Attitudes, Educational Technology, Models
Plotts, Courtney – International Journal of Educational Technology, 2018
Many Latino/a students select online learning as a viable option for completing a college degree. Yet, Latino/a perspectives regarding online social presence is unknown. This study explored Latino/a students' perceptions of social presence in online courses as related to their culture perspectives of interpersonal communication, values, norms and…
Descriptors: Hispanic American Students, Case Studies, Hispanic American Culture, Online Courses
altawallbeh, Manal; Thiam, Wun; alshourah, Sultan; Fong, Soon Fook – Journal of Education and Practice, 2015
The purpose of this study is to examine the moderating factors that effect on adaption e-learning among students in Jordanian universities. Two models of e-learning that are observed among adopting institutions are: E-learning as a supplement to traditional classroom model have been introduced by the respondents in this research. The paper takes a…
Descriptors: Foreign Countries, Age Differences, Gender Differences, Electronic Learning
Cheung, Ronnie; Vogel, Doug – Computers & Education, 2013
Collaborative technologies support group work in project-based environments. In this study, we enhance the technology acceptance model to explain the factors that influence the acceptance of Google Applications for collaborative learning. The enhanced model was empirically evaluated using survey data collected from 136 students enrolled in a…
Descriptors: Computer Attitudes, Adoption (Ideas), Models, Electronic Learning
Park, Sung Youl – Educational Technology & Society, 2009
Many universities implement e-learning for various reasons. It is obvious that the number of e-learning opportunities provided by higher educational institutes continues to grow in Korea. Yet little research has been done to verify the process of how university students adopt and use e-learning. A sample of 628 university students took part in the…
Descriptors: Electronic Learning, Structural Equation Models, Self Efficacy, Intention

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