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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
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
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
Al-Harthi, Aisha Salim Ali; Ani, Wajeha Thabit Al – Education and Information Technologies, 2023
This study investigates the level of readiness for massive open online courses (MOOCs) of students in Oman. It compares the readiness of ordinary students in the Omani higher education institutions (HEIs) and those outside HEIs who took a MOOC from the larger Omani society and tests for the differences between their levels of readiness.…
Descriptors: Foreign Countries, MOOCs, Readiness, College Students
Phan, Nga Thi Tuyet – Knowledge Management & E-Learning, 2023
Most previous studies have focused on learners' self-efficacy in face-to-face learning environments, while few have delved into that of MOOC learners. No research has touched upon the MOOC self-efficacy of engineering students in developed and developing countries. This research compared the self-efficacy levels of engineering students in Taiwan…
Descriptors: Self Efficacy, MOOCs, Comparative Analysis, Foreign Countries
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
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
Vezne, Rabia; Yildiz Durak, Hatice; Atman Uslu, Nilüfer – Education and Information Technologies, 2023
In this study, the effects of remote learning attitude, extrinsic and intrinsic goal orientation on the dimensions of online engagement were examined. 293 teacher candidates at a state university in Turkey participated in the research. PLS-SEM was used to analyze the data. In all models, relationships related to online collaboration with peers,…
Descriptors: Electronic Learning, Predictor Variables, Learner Engagement, Student Attitudes
Lamees Abdulrahman Alaulamie – Journal of Education and e-Learning Research, 2024
The transition to online learning during the COVID-19 pandemic was a new experience for parents of young children who were obliged to deal with various factors that had an impact on their level of satisfaction. It was essential to address these issues if their children were to continue receiving an education. This research investigates the factors…
Descriptors: Parent Attitudes, Online Courses, Electronic Learning, COVID-19
LiuJie Xu; Ling Chen; Yiran Chen – Education and Urban Society, 2024
The Expert-based Collective Advising Mechanism (ECAM) was embedded in the open online tutoring project to provide free tutoring for rural students and to help them improve their academic performance, and thus, to solve education inequity. Taking urban and rural students in Tongzhou District of Beijing as the objects, this study gathered data on…
Descriptors: Foreign Countries, Rural Education, Tutoring, Academic Advising
Kuadey, Noble Arden; Mahama, Francois; Ankora, Carlos; Bensah, Lily; Maale, Gerald Tietaa; Agbesi, Victor Kwaku; Kuadey, Anthony Mawuena; Adjei, Laurene – Interactive Technology and Smart Education, 2023
Purpose: This study aims to investigate factors that could predict the continued usage of e-learning systems, such as the learning management systems (LMS) at a Technical University in Ghana using machine learning algorithms. Design/methodology/approach: The proposed model for this study adopted a unified theory of acceptance and use of technology…
Descriptors: Foreign Countries, College Students, Learning Management Systems, Student Behavior
Sevim-Cirak, Nese; Erol, Osman; Baser-Gulsoy, Vesile Gul – Journal of Educational Technology and Online Learning, 2023
Students' readiness for e-learning is necessary in order to make the e-learning process more effective. Readiness for e-learning refers to the degree of having pre-knowledge and skills, and affective characteristics such as the necessary attitude and motivation to experience this process most effectively. Academic orientations of the students also…
Descriptors: College Students, Electronic Learning, Readiness, Goal Orientation
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
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
Corina Milagro Mosqueira Taipe; Larissa Cristina Mazer; Nayara Paula Fernandes Martins Molina; Caíque Rossi Baldassarini; Gabriela Di Donato; Assis Do Carmo Pereira Júnior; Adriana Inocenti Miasso; Patricia Leila dos Santos – Journal of Latinos and Education, 2025
The COVID-19 pandemic has brought the challenge of online teaching to graduate courses, without prior preparation for students and teachers. In this context, the aim of the study was to identify sociodemographic predictors of difficulty in carrying out online academic activities by graduate students, by region of Brazil, during the COVID-19…
Descriptors: Social Class, Demography, Predictor Variables, Difficulty Level