ChatGPT, an advanced generative AI language model, has rapidly emerged as a transformative tool in education. This study explores the key determinants influencing the continuance intention of digitally native Gen Z students in higher education to engage with ChatGPT 4o. Employing the Expectation-Confirmation Model (ECM), the study examines the…

Background: Smart classroom environment has drawn worldwide attention, however, there is still a lack of studies that can explore and analyse potential factors, which affect students' satisfaction with smart classrooms in higher education. Objectives: To assess students' satisfaction with smart classrooms in higher education, this study proposed…

Drawing on the technology acceptance model (TAM), self-determination theory (SDT), expectation-confirmation model (ECM), and massive open online courses (MOOCs) design effects, the present work introduced a conceptual model for understanding the fine-grained mechanism underlying learner satisfaction and continuance intention. A structural equation…

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,…

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)…

This study examines survey data from 2127 undergraduate women at the 2015 and 2019 American Physical Society Conference for Undergraduate Women in Physics (CUWiP) in order to classify what led them to study physics. We use expectancy-value and self-efficacy theory to create a coding framework based on different types of value and efficacy…

The multiple benefits of virtual experiments applied to science education depend heavily on science teachers' intentions to use them. The inducing mechanism is a process that combines different conditions of multiple factors. From the perspective of overall configuration, this study used the fuzzy-set qualitative comparative analysis (fsQCA)…

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…

Educational and psychological research often involves comparing motivation across groups. It is critical to ensure that observed differences in motivation are true variations by group, not due to measurement biases. With a diverse sample of undergraduate students (N = 2200), this study measured internal consistency and gathered validity evidence…

Aim/Purpose: This study investigates the key factors influencing preschool teachers' sustained use of Artificial Intelligence-Generated Content (AIGC) technology in educational settings. While prior research has extensively examined initial adoption, little attention has been given to understanding the continuous intention of preschool teachers…

To address the demand for engineers and computer scientists in the workforce, and the fact that some engineering students dropout or change majors, we explored how the motivational climate in an undergraduate computer science (CS) course was related to students' motivational beliefs and academic and career goals. Participants included 310 students…

The existing literature mainly examines the impact of academic self-efficacy on academic achievement in educational psychology. Much less is known about the relationship between outcome expectations and adolescent academic achievement. This article applies the random intercept model to investigate the association between Chinese adolescent…

Despite the importance of artificial intelligence (AI) for university students to thrive in the future workplace, few studies have been conducted to assess and foster their intentions to learn AI. Guided by the situated expectancy-value theory, this study adopted both variable- and person-centered approaches to explore the role of supportive…

Learning experiences are widely recognized as crucial in developing students' attitudes towards science, technology, engineering and mathematics. Vocationally-oriented polytechnics and universities provide distinct learning experiences that may significantly influence students' STEM self-efficacy, expectancy-value and career interest. The study…

This study examined academic self-efficacy, achievement motivation, and academic success among international graduate students at a large university in the southeastern United States. Specifically, the research focused on three dimensions of academic self-efficacy (i.e., English language self-efficacy, coursework self-efficacy, and social…