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Showing 1 to 15 of 67 results Save | Export
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Miftah Arifin; Anas Ma'ruf Annizar; Moh. Khusnuridlo; Abd. Halim Soebahar; Agus Yudiawan – Journal of Education and e-Learning Research, 2025
This study examines a level and model for technology acceptability and use in online learning inside universities. The unified theory of UTAUT is used as an analysis tool. An associative quantitative method is used with a sample of 392 students. Data were collected by distributing questionnaires through a specially designed Google Form. The data…
Descriptors: Educational Technology, Electronic Learning, Technology Uses in Education, College Students
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Humida, Thasnim; Al Mamun, Md Habib; Keikhosrokiani, Pantea – Education and Information Technologies, 2022
Digital transformation and emerging technologies open a horizon to a new method of teaching and learning and revolutionizes the e-learning industry. The goal of this study is to scrutinize a proposed research model for predicting factors that influence student's behavioral intention to use e-learning system at Begum Rokeya University, Bangladesh.…
Descriptors: Student Behavior, Intention, Electronic Learning, College Students
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Al Amin, Md; Razib Alam, Md; Alam, Mohammad Zahedul – E-Learning and Digital Media, 2023
This study aims at exploring the underlying determinants influencing students' continuance intention to use an e-Learning platform during the COVID-19 pandemic. Based on the technology acceptance model and expectation-confirmation model, the study investigated the role of contextual (i.e., social isolation), psychological (academic year loss and…
Descriptors: Electronic Learning, Intention, COVID-19, Pandemics
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Duggal, Sanya – Asian Association of Open Universities Journal, 2022
Purpose: This study aims to identify the most significant factors that influence acceptance of e-learning in India. As e-learning has gained popularity in the wake of the COVID-19 pandemic and continues to be one of the most sustainable methods of education, it is pertinent to examine learners' perception towards its acceptance. There is limited…
Descriptors: Electronic Learning, Foreign Countries, Student Attitudes, Adult Students
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Ahmet Murat Uzun; Erhan Üna; Selcan Kilis – Educational Process: International Journal, 2024
Background/purpose: Widespread adoption of e-learning was triggered worldwide during the COVID-19 pandemic and modern higher education institutions dedicated significant resources to the use of diverse e-learning systems. However, to maximize the benefits of these investments, it is crucial that the degree to which end-users accept and continue…
Descriptors: Electronic Learning, COVID-19, Pandemics, Learning Management Systems
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Jovanka, Della Raymena; Habibi, Akhmad; Mailizar, Mailizar; Yaqin, Lalu Nurul; Kusmawan, Udan; Yaakob, Mohd Faiz Mohd; Tanu Wijaya, Tommy – Cogent Education, 2023
The Internet has been massively utilized for educational purposes during the last ten years with many platforms, including e-Learning Services (e-LS). This survey study aimed to report factors affecting the intention to use e-LS in the Indonesian Open University (OU) context. The original technology acceptance model (TAM) was extended, involving…
Descriptors: Foreign Countries, Electronic Learning, College Students, Student Attitudes
Ottenad, Autumn H. – ProQuest LLC, 2023
This research endeavors to investigate the factors that influence satisfaction with online learning among secondary students in hybrid or blended environments in the United States. With a focus on social-emotional learning and digital citizenship, the study begins the exploration and the impact of teacher interactions, teaching presence,…
Descriptors: Predictor Variables, Secondary School Students, Student Satisfaction, Electronic Learning
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Mehdi Haseli Songhori; Ida Fatimawati Adi Badiozaman; Reza Ahmadi – Journal of Further and Higher Education, 2024
This study used the Unified Theory of Acceptance and Use of Technology (UTAUT2) model to (i) predict factors influencing HE faculty members' acceptance of hybrid instruction and (ii) identify factors influencing the faculty members' behavioural intention to use hybrid instruction. Data were analysed using SPSS 22 and AMOS 23 software. Structural…
Descriptors: Blended Learning, Intention, College Faculty, COVID-19
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Elissa Dwi Lestari; Riatun Riatun – Cogent Education, 2024
Indonesian higher education rarely employed e-learning until COVID-19. Many students tried online learning for the first time during the pandemic. After the pandemic ended in 2022, universities switched to blended learning, but student adaptation, system integration, and learning effectiveness remain challenges. This study examines these…
Descriptors: Foreign Countries, Higher Education, Electronic Learning, Blended Learning
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Bervell, Brandford; Kumar, Jeya Amantha; Arkorful, Valentina; Agyapong, Emmanuel Manu; Osman, Sharifah – Australasian Journal of Educational Technology, 2022
Online learning environments have become a contemporary component of global tertiary education due to their affordances. These environments are hinged on internet-based learning management systems and one such tool is Google Classroom. However, empirical studies have indicated that gaps exist in determining how Google Classroom influences…
Descriptors: Virtual Classrooms, Educational Technology, Electronic Learning, Intention
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Liu, Na; Pu, Quanlin – Interactive Learning Environments, 2023
One-to-one online learning has become pervasive in distance education. However, factors affecting learners' continuance intention toward one-to-one online learning are not well known. This study proposed a model to explain learners' continuance intention toward one-to-one online learning. The model extends previous technology acceptance models and…
Descriptors: Intention, Individualized Instruction, Electronic Learning, Distance Education
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Ikhsan, Ridho Bramulya; Prabowo, Hartiwi; Yuniart; Simamora, Bachtiar; Ruan, Ximing; Kumar, Vikas – Journal of Educators Online, 2023
A mobile learning management system (mobile LMS) facilitates the interaction between lecturers and students to transfer knowledge flexibly. With the high possibility of universities adopting a mobile LMS into their learning systems, predicting student acceptance of mobile LMS is critical. Based on an extension of the unified theory of acceptance…
Descriptors: Foreign Countries, Electronic Learning, Distance Education, College Students
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Clemente Rodríguez-Sabiote; Ana T. Valerio-Peña; Roberto A. Batista-Almonte; Álvaro M. Úbeda-Sánchez – International Review of Research in Open and Distributed Learning, 2024
The global pandemic caused by the SARS-CoV-2 virus brought about a true revolution in the predominant teaching-learning processes (i.e., face-to-face environment) that had been implemented up to that point. In this regard, virtual teaching-learning environments (VTLEs) have gained unprecedented significance. The main objectives of our research…
Descriptors: Electronic Learning, College Students, Online Courses, Models
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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
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Nadia A. Abdelmegeed Abdelwahed; Bahadur Ali Soomro – Education & Training, 2023
Purpose: Mobile learning has emerged as one of the main methods for training and academic activities in the present era. It is, also, highly relevant in the wake of the COVID-19 pandemic whereupon digitization of mobile learning has made it possible for many students to continue with their education. This study investigated attitudes and…
Descriptors: Handheld Devices, Electronic Learning, COVID-19, Pandemics
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