Based on different educational policies around the world, pre-service teachers are expected to use digital technology in their future teaching in school. However, to do this successfully, they need knowledge, skills and appropriate beliefs regarding utilising digital technology in learning scenarios. Thus, this study explores pre-service teachers'…

The Technology Acceptance Model (TAM), proposed by Fred Davis in 1986, is a foundational framework for understanding technology adoption, emphasizing Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) as key determinants of Intention to Use (ITU). While Attitude Toward Using (ATU) was initially central to TAM, it was later omitted in…

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…

This study investigates the impact of GeoGebra, a dynamic, accessible, and easy-to-use mathematics software, on student confidence and perceptions of its helpfulness in the context of Calculus III courses. A quasi-experimental design was employed to compare four sections of Calculus III, with two sections integrating GeoGebra for in-class…

The arrival of Generative Artificial Intelligence (henceforth GenAI) has prompted the academic world to debate its benefits and risks for academic writing in ESL and EFL contexts. This study aims to explore the perceived usefulness and use of GenAI-assisted dissertation writing to engage in nuanced reasoning. Using non-probability sampling…

Contribution: This study has proposed a hybrid framework of acceptance and self-determination for the use of digital textbooks in higher education programming courses. The intertwined relationships between acceptance and self-determination factors, and their joint effects on student's engagement and learning performance are all examined.…

The extant research on the factors influencing online education platform learners' continuance intention has yielded inconsistent results, which necessitates a thorough review and reanalysis of relevant literature. Therefore, this study combines different theoretical models and conducts a meta-analysis on 219 articles obtained from Web of Science,…

COVID-19 caused a worldwide education crisis. Schools were forced to close, teachers and parents had little time to prepare, and students were required to learn from home. The purpose of this study was to explore teachers' perceptions of usefulness and ease of use in adopting technology in response to the COVID-19 pandemic and what support or…

In many Global South countries, including South Africa, the adoption of Virtual Lab (VL) remains largely conceptual. This paper emphasizes the necessity of understanding teachers' perceptions of VL before implementation to mitigate risks of abandonment or underutilization post deployment. Guided by the Technology Acceptance Model (Davis, 1989),…

This study examines the relationship between student perceptions and their intention to use generative artificial intelligence (GenAI) in higher education. With a sample of 405 students participating in the study, their knowledge, perceived value, and perceived cost of using the technology were measured by an Expectancy-Value Theory (EVT)…

Background/purpose: The crisis caused by the COVID-19 pandemic has altered the direction of education worldwide, emphasizing the prospects and problems of using online learning platforms. This study aims to investigate the dual aspects of COVID-19 (positive and negative) on facilitating conditions for learning quality that affect students'…

This study, rooted in the Technology Acceptance Model (TAM), investigates the multifaceted factors that influence teacher education students in Information-Based Teaching to embrace artificial intelligence technologies. To enrich the TAM framework, we have incorporated elements such as Artificial Intelligence Literacy (AIL), Subjective Norms (SN),…

A crucial need for a comprehensive understanding and assessment of mobile learning readiness exists in light of most adult learners' lack of preparedness for mobile learning. This study developed a seven-factor mobile learning readiness construct and crafted a 26-item scale integrating the Technology Acceptance Model, Unified Theory of Acceptance…

With the release of Generative AI systems such as ChatGPT, an increasing interest in using Artificial Intelligence (AI) has been observed across domains, including higher education. While emerging statistics show the popularity of using AI amongst undergraduate students, little is yet known about students' perceptions regarding AI including…

This study explores the factors influencing student engagement and behavioral intention towards mobile learning platforms, with a focus on widely used platforms in Indonesia, such as Ruangguru, Zenius, and Quipper. A total of 375 questionnaires were distributed, out of which 363 were deemed valid and used for analysis. The research employed…