The current study examined how participation in an undergraduate research experience (URE) that provides a counterspace affects sociocognitive factors (science self-efficacy, science identity, and academic self-concept) and how they, in turn, may shape science career intention in a sample of STEM undergraduate students. STEM majors from a public…

As AI increasingly permeates education, understanding teachers' perceptions and interactions with these technologies is essential. The Technological Pedagogical Content Knowledge (TPACK) framework provides a comprehensive lens to examine these interactions with educational AI tools (EAITs). This study explored the factors influencing teachers'…

Artificial Intelligence (AI) has garnered attention as an innovative technology, revolutionizing various components of society, including education. The new technology can potentially improve efficiency and reduce burdens placed on teachers, but AI in educational settings may also have negative consequences. This quantitative survey research study…

This study examines educators' perceptions of adopting Generative Artificial Intelligence (GenAI) tools in education through the lens of the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model. Using structural equation modeling (SEM) on data collected from 490 participants, the research investigates: (a) the extent to which…

Following the COVID-19 pandemic, higher education teachers, having transitioned to new teaching methodologies, including online learning and modified assessment strategies, face the question: Do they intend to revert to pre-pandemic ways of operating or retain their new practices? A university-wide invitation with an incentive resulted in 63…

This study based on the Hedonic Motivation System Adoption Model (HMSAM), the Expectation Confirmation Model (ECM), and Task Technology Fit (TTF), explores the factors influencing users' continuance intention in gamified learning within metaversity. A total of 286 valid questionnaires were collected using random sampling. The data were analyzed…

The rapid advancement of generative artificial intelligence (GAI) has transformed academic research, especially for graduate students, who are progressively depending on GAI for diverse research activities. However, despite its potential to revolutionize research practices, a critical gap remains in understanding the factors that influence…

Background/purpose: The study addresses the lack of clear policies and ethical concerns surrounding AI use in Vietnamese universities, where debates continue over balancing AI's benefits with risks of academic misconduct. This study seeks to investigate determinants of students' use of AI-powered study tools, by applying the Theory of Planned…

Online education has experienced substantial growth, driven by technological advancements and expanded internet accessibility. Many private academic institutions have transitioned to online platforms, offering diverse educational services tailored to meet varying student needs. Despite this shift, research on online education has largely…

Purpose: This study investigates how entrepreneurship education influences e-entrepreneurial intention through e-entrepreneurial self-efficacy, with generative artificial intelligence incorporation as a moderating factor. The study uses the stimulus-organism-response (SOR) framework to comprehensively understand the relationship between…

Academic careers come with many joys but are frequently accompanied by frustration. In the present study, we provide a multi-dimensional measure of academic frustration. Using a sample of 312 differently frustrated academics across the globe, our study develops a new perspective on academic frustration and academics' intention to stay or leave…

By merging the theory of planned behavior and social cognitive theory, in this study an attempt is made to identify the cognitive and environmental factors that influence the entrepreneurial intentions of female university science, technology, engineering and mathematics (STEM) students in Andalusia, Spain. The data were obtained from a…

The emergence of ChatGPT and other AI-based tools has revolutionized the professional and educational world. This paper aims to analyze the factors that may lead university teachers to consider adopting ChatGPT in their work. This study examines how some relevant Unified Theory of Acceptance and Use of Technology (UTAUT) model variables (effort…

This study explores (1) whether and to what extent community college students' engagement has changed and (2) whether the relationship between student engagement and students' intent to re-enroll in college has changed since the pandemic. Using data from the Community College Survey of Student Engagement (CCSSE), we use t-test and logistic…

Objective: The transition to college is marked by poorer eating behaviors, making emerging adulthood a particularly salient intervention point for improving lifelong health. The present study aims to better understand what psychosocial factors predict eating behaviors of college students using the Theory of Planned Behavior (TPB). Participants…