AR-supported instruction has been verified to improve students' problem-solving skills. This study investigated 1041 university students and developed an empirical research model that combined technology acceptance, self-regulation, and AR-supported learning effectiveness with the structural equation model (SEM). At the same time, content analysis…

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…

This study advances an e-learning adoption model by exploring the link between Performance Expectancy (PE) and Behavioural Intention (BI) to adopt e-learning among undergraduate students in Kenya's public universities. Using the Unified Theory of Acceptance and Use of Technology (UTAUT), data were collected from a sample of 388 respondents through…

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…

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…

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…

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'…

The introduction of artificial intelligence (AI) in people's lives, including in educational settings, is happening rapidly and on a massive scale. However, AI represents a complicated and abstract concept for laypeople and is, in its entirety, still quite unfamiliar to many, including students in higher education. Metaphors may facilitate the…

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.…

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…

This study examined the relationship between College of Education students' attitudes, behavioral intentions, and actual use of online learning resources in North Central Nigeria. A structured questionnaire was used to collect data, which was then analyzed quantitatively. The findings show no significant relationship between students' perceptions…

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…

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…

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…

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…