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Senad Becirovic; Mersad Dervic; Boris Mattoš – SAGE Open, 2025
This research seeks to investigate the variables that might affect university-level students' internet habits, their e-learning self-efficacy and academic achievement in a technology-enhanced teaching and learning environment. To attain the aforementioned objective the Information System Success (ISS) and Technology Acceptance Model (TAM) were…
Descriptors: College Students, Behavior Patterns, Internet, Self Efficacy
Sarah Alturkustani; Ashley Durfee; Olivia F. O'Leary; Siobhain M. O'Mahony; Conor O'Mahony; Mutahira Lone; Andreea Factor – Anatomical Sciences Education, 2025
Anatomy is fundamental to medical disciplines. However, its complexity can be challenging to learners, and traditional anatomy teaching may not be easily accessible. Virtual Reality has the potential to supplement anatomy education, but its effectiveness depends on students' willingness to accept it. This study aimed to measure students'…
Descriptors: Student Attitudes, Computer Simulation, Anatomy, Electronic Learning
Shanshan Qi; Ning Chen – International Journal of Education and Development using Information and Communication Technology, 2025
The use of e-learning methods in higher education is rapidly increasing worldwide. However, the relationship between students' acceptance of e-learning methods and their psychological adaptation remains uncertain. Events such as a global pandemic have brought significant changes to higher education while accelerating the popularity of e-learning.…
Descriptors: Higher Education, College Students, Electronic Learning, Computer Uses in Education
Gutierrez-Aguilar, Olger; Talavera-Mendoza, Fabiola; Chicaña-Huanca, Sandra; Cano-Villafuerte, Sharmila; Sotillo-Velásquez, José Antonio – Journal of Technology and Science Education, 2023
The aim of this research has enabled us to establish the influential relationship between factors associated with e-learning, such as individual impact and depression, and the mediating role in psychological distress and computer anxiety related to the fear of failing an academic year in times of COVID-19 in university students at two universities…
Descriptors: Electronic Learning, Academic Failure, Fear, COVID-19
Kashive, Neerja; Mohite, Sayali – Interactive Technology and Smart Education, 2023
Purpose: This study aims to look at the integration of gamification in an e-learning model based on the technology acceptance model. The data was collected from respondents residing in India and elements of gamification (achievement, immersion and social) and personal characteristics of learners (self-efficacy, computer anxiety and enjoyment) and…
Descriptors: Gamification, Electronic Learning, Learning Experience, Foreign Countries
Norah Basheer Alotaibi – Education and Information Technologies, 2025
Information and Communication Technology (ICT) has profoundly impacted social, psychological, and physical well-being, presenting positive and negative effects. This study primarily explores the negative aspects, specifically technostress, and its influence on mobile learning (m-learning) among university students, a crucial area with limited…
Descriptors: Electronic Learning, Academic Achievement, Undergraduate Students, Foreign Countries
Nuryatin, Agus; Mukhibad, Hasan; Tusyanah, Tusyanah – European Journal of Educational Research, 2022
This study aims to explain the success factors of e-learning. The participants were 427 students in public universities in Indonesia. To demonstrate the success of this e-learning, we developed a more comprehensive e-learning evaluation model that considers the system's characteristics, students, and instructors. The results show that higher…
Descriptors: Instructional Effectiveness, Electronic Learning, College Students, Social Differences
Kaya, Suat – Research in Pedagogy, 2021
This research was conducted in an attempt to examine online learning satisfaction (OLS) level of the pre-service teachers and the influence of antecedents including computer anxiety (CA), internet anxiety (IA), online course anxiety (OCA), internet self-efficacy (ISE) and transactions including learner-instructor interaction (LII), learner-content…
Descriptors: Predictor Variables, Electronic Learning, Student Satisfaction, Preservice Teachers
Barrett, Beverly Pyle – ProQuest LLC, 2018
The study was designed to examine the relationship among computer anxiety, computer self-efficacy, computer experience, performance, and engagement. Previous research has demonstrated that these topics are related; however, few studies have included all of these variables. Specifically, this study was designed to answer the following research…
Descriptors: Experience, Anxiety, Computer Attitudes, Self Efficacy
Stiller, Klaus D.; Bachmaier, Regine – Turkish Online Journal of Distance Education, 2019
One focus of distance learning research is to explore the extent that learner characteristics and skills determine learning outcomes and to elaborate predictive models of performance. Modern approaches can benefit from objective data, such as various time indices and frequencies of learner actions, provided by log systems catching online traces to…
Descriptors: Foreign Countries, Preservice Teachers, Preservice Teacher Education, Study Habits
Katsarou, Eirene – Journal of Education and e-Learning Research, 2021
Low computer anxiety (CA) and high computer self-efficacy (CSE) levels are important affective factors that promote students' academic success in the current digital era. In an effort to understand their role in successful and effective participation in online learning environments for language learning purposes, the study investigated their…
Descriptors: Anxiety, Computer Attitudes, Computer Literacy, Second Language Learning
Awofala, Adeneye O. A.; Olabiyi, Oladiran S.; Awofala, Awoyemi A.; Arigbabu, Abayomi A.; Fatade, Alfred O.; Udeani, Uchenna N. – Digital Education Review, 2019
For Nigeria to attain her Vision 20: 2020, the school curricula must change in line with the development in technology. Teachers should be able to adapt technology into the teaching and learning process. Three non-intellectual elements that affect the degree of integration of technology into teaching and learning are attitude toward computer,…
Descriptors: Computer Attitudes, Anxiety, Gender Differences, Correlation
Khamparia, Aditya; Pandey, Babita – International Journal of Web-Based Learning and Teaching Technologies, 2018
E-learning and online education has made great improvements in the recent past. It has shifted the teaching paradigm from conventional classroom learning to dynamic web based learning. Due to this, a dynamic learning material has been delivered to learners, instead ofstatic content, according to their skills, needs and preferences. In this…
Descriptors: Classification, Electronic Learning, Online Courses, Anxiety
El-Zayaty, Nady – International Journal on E-Learning, 2018
Open and Distance Learning (ODL) has become an increasingly popular platform for delivering education the world over. The acceptance of ODL as a viable alternative to traditional brick and mortar educational institutes has been a topic of debate however. Furthermore, many questions have been raised about the different levels of interest…
Descriptors: Student Attitudes, Foreign Countries, Electronic Learning, Online Courses
Adetimirin, Airen – Journal of Information Technology Education: Research, 2015
E-learning is an important trend globally that is believed to enhance the acquisition of knowledge by students within and outside the classroom to improve their academic pursuit. The Online Discussion Forum (ODF) is one of the tools that are used for e-learning in Nigerian universities. It facilitates interaction among postgraduate students as…
Descriptors: Electronic Learning, Discussion Groups, Graduate Students, Library Education
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