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Izida I. Ishmuradova; Alexey A. Chistyakov; Tatyana A. Brodskaya; Nikolay N. Kosarenko; Natalia V. Savchenko; Natalya N. Shindryaeva – Contemporary Educational Technology, 2025
This investigation aimed to ascertain latent profiles of university students predicated on fundamental factors influencing their intentions to acquire knowledge in artificial intelligence (AI). The study scrutinized four dimensions: supportive social norms, facilitating conditions, selfefficacy in AI learning, and perceived utility of AI. Through…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Electronic Learning
Hebah Alquran – ProQuest LLC, 2023
The rapid growth of electronic learning (e-learning) platforms has raised concerns about cybersecurity risks. The vulnerability of university students to cyberattacks and privacy concerns within e-learning platforms presents a pressing issue. Students' frequent and intense internet presence, coupled with their extensive computer usage, puts them…
Descriptors: Electronic Learning, Computer Security, Internet, Safety
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
Fatih Balaman; Muhammet Bas – Interactive Learning Environments, 2023
This study is aimed to develop a scale that measures university students' perception of using e-learning platforms by using the Technology Acceptance Model (TAM). The sample consisted of 636 university students. The Exploratory Factor Analysis (EFA) results revealed 5-factors on a 6-items scale. The five factors that were revealed on the EFA…
Descriptors: Electronic Learning, Computer Attitudes, College Students, Usability
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
Al-Rahmi, Ali Mugahed; Al-Rahmi, Waleed Mugahed; Alturki, Uthman; Aldraiweesh, Ahmed; Almutairy, Sultan; Al-Adwan, Ahmad Samed – Education and Information Technologies, 2022
Mobile-learning (M-learning) apps have grown in popularity and demand in recent years and have become a typical occurrence in modern educational systems, particularly with the deployment of M-learning initiatives. The key objective of this study was to reveal the key factors that impact university students' behavioural intention and actual use of…
Descriptors: Electronic Learning, Computer Oriented Programs, College Students, Intention
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
Kampa, Raj Kishor – Asian Association of Open Universities Journal, 2023
Purpose: The study aims to validate a mobile learning readiness scale through the technology readiness and acceptance model (TRAM), thereby assessing students' readiness to adopt m-learning in teaching and learning, including its acceptance. Design/methodology/approach: A structured questionnaire was administered to open and distance learning…
Descriptors: Foreign Countries, Electronic Learning, Readiness, Open Education
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
Mohamad Arief Rafsanjani; Albrian Fiky Prakoso; Eka Indah Nurlaili; Riza Yonisa Kurniawan; Wida Wulandari – Journal on Efficiency and Responsibility in Education and Science, 2023
As a developing country, Indonesia faces many obstacles in implementing online learning due to the lack of infrastructure and technical skills. The mandated online learning policy during the spread of the COVID-19 virus became a turning point and made massive use. However, the online learning policy raised unforeseen issues such as stress,…
Descriptors: COVID-19, Pandemics, Foreign Countries, Developing Nations
Al-Jumaili, Ali Azeez; Ahmed, Kawther K.; Al-Jalehawi, Ahmed Kadhim; Al-Fatlawi, Bashar G.; Al-Rekabi, Mohammed D.; Al-Sawad, Oday Sajjad; Shari, Falah Hasan; Sorofman, Bernard – Education and Information Technologies, 2021
This study aimed to assess the extent to which healthcare students use five informational technologies for daily academic purposes and to examine the changes in student perceptions toward these technologies over five years. This was a cross-sectional descriptive study in 10 different colleges in seven governorates. We conducted a survey using the…
Descriptors: Computer Uses in Education, Student Attitudes, Computer Attitudes, Pharmaceutical Education
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
Ogemdi Uchenna, Eze; Uzoma Oluchukwu, Nwabunze – Education and Information Technologies, 2022
This paper examined the adoption and usage of e-learning communication tools by Mass Communication students of selected privately-owned Nigerian universities. The unified theory of acceptance and use of technology (UTAUT) was the theoretical lens that guided the study. The online survey was used to gather data from 358 students. Data analysis was…
Descriptors: Mass Media, Student Attitudes, Computer Attitudes, Adoption (Ideas)
Chahal, Jyoti; Rani, Neha – Journal of Computing in Higher Education, 2022
The concept of e-learning has now become fundamental in student learning process. This concept becomes even more relevant in situations of global crisis such as that arising from COVID-19. Since this pandemic there have been tectonic shifts in the education sector. Effective implementation of e-learning in higher education depends on students'…
Descriptors: Foreign Countries, Electronic Learning, COVID-19, Pandemics