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Ayça Fidan; Yasemin Koçak Usluel – Education and Information Technologies, 2024
It is pointed out that one of the main problems of online learning environments is determining whether students engage or not. As engagement is a complex and multifaceted concept, researchers have stated that engagement is effected by many factors (environmental conditions and learner characteristics) and changes according to the context. Among…
Descriptors: Online Courses, Electronic Learning, Metacognition, Emotional Response
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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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Shixin Fang; Yi Lu; Guijun Zhang – Online Learning, 2023
Building and testing a framework of interactive and indirect predictors of student satisfaction would help us understand how to improve student online learning experience. The current study proposed that external predictors such as poor technological, environmental, and pedagogical factors would be internalized as negative psychological traits and…
Descriptors: Student Satisfaction, Electronic Learning, Educational Technology, Predictor Variables
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Engin Demir; Huseyin Cevik – Turkish Online Journal of Distance Education, 2025
Students' attitudes towards distance education can be shaped by the compatibility of their learning styles with this new educational environment. The study aimed to investigate whether various variables and e-learning styles predict student's attitudes towards distance education. The present research was conducted on 387 students enrolled in the…
Descriptors: Student Attitudes, Electronic Learning, Educational Technology, Predictor Variables
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Szymkowiak, Andrzej; Jeganathan, Kishokanth – British Journal of Educational Technology, 2022
With COVID-19 compelling some countries to close their schools, e-learning has now become the primary mode of learning. Researchers have renewed their interest in users' acceptance of e-learning via different platforms, given the possibility of different results relative to what was known pre-pandemic. However, e-learning still poses issues such…
Descriptors: Foreign Countries, Electronic Learning, Peer Teaching, Student Attitudes
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Zhengze Li; Hui Chen; Xin Gao – Education and Information Technologies, 2024
Online supplementary education has been prevalent in recent years due to the advent of technology (e.g., live streaming) and the COVID-19 pandemic. However, the performance of students in this mode of education varies greatly, and the underlying reasons are yet to be investigated. This study aims to understand the impact of various factors and…
Descriptors: Predictor Variables, Elementary School Students, Electronic Learning, Supplementary Education
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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
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Cazan, Ana-Maria; Maican, Catalin-Ioan – Comunicar: Media Education Research Journal, 2023
Even though in 2021 many universities have decided to resume teaching activities face to face, we believe that the use of online applications will remain a feature of the educational system due to the flexibility offered and the learning possibilities. We aim to analyze the predictive role of personal factors, such as self-efficacy, technostress…
Descriptors: Educational Technology, Electronic Learning, Predictor Variables, Individual Characteristics
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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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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
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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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Villena-Taranilla, Rafael; Cózar-Gutiérrez, Ramón; González-Calero, José Antonio; Diago, Pascual D. – Technology, Pedagogy and Education, 2023
Virtual Reality (VR) is an emerging technology with an increasing number of studies assessing its benefits in educational settings. However, there is a shortage of empirical studies aimed at evaluating the acceptance of this technology in primary education. The authors propose an extended version of the Technological Acceptance Model to examine…
Descriptors: Educational Technology, Computer Simulation, Electronic Learning, Elementary School 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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Djordje M. Kadijevich; Nikoleta Gutvajn; Danijela Ljubojevic – Interactive Learning Environments, 2024
The outbreak of COVID-19 pandemic in March 2020 influenced all aspects of school life. Teaching and learning moved only online, with different software solutions emerging for teachers to make the most of them. These educational platforms provided more than just a traditional teaching which is focused on the transmission and access to information.…
Descriptors: 21st Century Skills, COVID-19, Pandemics, Educational Change
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Zacharis, Georgios; Nikolopoulou, Kleopatra – Education and Information Technologies, 2022
The use of eLearning platforms has made it possible to continue the learning process in universities, and other educational institutions, during the COVID pandemic. Students' acceptance of eLearning is important because it is associated with their engagement in the online teaching--learning environment. This study used the Unified Theory of…
Descriptors: Predictor Variables, College Students, Student Attitudes, Intention
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