With the increasing use of mobile applications for educational purposes among university students, enhancing the efficiency of mobile instruction and learning is a key concern in higher education. It is, therefore, necessary to explore students' mobile learning habits and to identify the factors that influence their mobile learning to further…

Online learning technologies have turned into an essential part of education, particularly in this cutting-edge era of ICT. These technologies are becoming more and more popular in increasing educational access in impoverished nations. The ongoing investigation looks into the variables impacting students' use of online learning technologies in…

The widespread use of e-learning systems in higher education highlights the necessity to understand the determinants of students' intention to utilize e-learning systems. This study builds upon the Expectation--Confirmation Model (ECM) by incorporating self-regulated learning (SRL) as a pivotal construct to underpin students' intention to utilize…

Purpose: This study examines higher education students' technology readiness level in explaining adoption intention toward educational Internet of Things (IoT) needed for online learning. Design/methodology/approach: Quantitative deductive research approach is used to check the theory of technology readiness index toward IoT in education. An…

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…

Background Study: The combination of artificial intelligence (AI) and foreign language learning is emerging as a significant trend in language education. Objectives: This study aimed to investigate the impact of technology acceptance, attitude and motivation on behavioural intentions regarding the use of AI in language learning. Methods:…

Background/purpose: The present study utilizes an integrated theoretical framework that integrates the Theory of Planned Behaviour, Technology Acceptance Model, and Value-Based Adoption Model to explore the effects of Digital Literacy (DL) on the behavioral intention of the Saudi Generation Z students toward adopting Fintech (FAI). It emphasizes…

This research explores adoption of the Deepseek, an artificial intelligence (AI) platform among higher education students in India by integrating the Technology Acceptance Model (TAM) with learning motivation factors. Given the rapid rise of AI-based platforms in educational sector, understanding their adoption is not only timely but also…

E-learning has revolutionized the educational landscape, changing how knowledge is imparted to students and enhancing the learning process. Despite the growing popularity of e-learning worldwide, a lingering question remains regarding the behavioral intentions of Physical Education students toward its use. This study endeavors to address this…

Digital teachers represent an innovative fusion of media and artificial intelligence (AI) within online educational environments. However, the specific ways in which the appearance anthropomorphism of digital teachers influences the delivery of different knowledge types remain insufficiently understood. Drawing on Embodied Learning Theory and…

Smart classrooms which are facilitated by advanced technology have become a digital learning platform for all university students. Despite their significance in higher education, the number of students adopting the current technology has remained significantly low; thus, universities have to find new solutions to convince their students to quickly…

The purpose of this study was to evaluate the factors that influence behavioural intention (BI) to use the Online Summary-with Automated Feedback (OSAF) in a MOOCs platform. Task-Technology Fit (TTF) was the main framework used to analyse the match between task requirements and technology characteristics, predictng the utilisation of the…

The impact of technology on educational domains has been a subject of research for many years. Therefore, understanding how students perceive and utilize technologies for educational purposes is crucial. Especially in a critical subject like anatomy education, it is essential to employ various models to determine students' technology acceptance…

Studies have been conducted on university students' acceptance of e-learning systems during COVID-19. However, less attention has been paid to students' use of e-learning post-pandemic. This research provides a more comprehensive framework to investigate the effects of e-learning students' various quality perceptions on attitude, learning…

The purpose of this study was to explore the factors of college students' learning intention when they use online learning platforms by using structural equation model (SEM), integration technology acceptance model (TAM) and planned behavior theory (TPB). With the help of this study, the development of distance online learning for college students…