This study addresses the need for inclusive AI education by focusing on marginalized female students who historically lack access to learning opportunities in computing. It applies the theoretical framework of intersectionality to understand how gender, race and ethnicity intersect to shape these students' learning experiences and outcomes.…

This Dissertation addresses findings from a qualitative case study. The researcher provided a) training and b) analysis of the follow-up performance of a Peer Mentor from the Student Success Center at an Hispanic Serving Institution (HSI), at The University of Texas at San Antonio. Following the training, prepared by Charles Ernest Wright, the…

Flipped learning has become an ally in education. However, although the literature has identified multiple benefits of using this strategy to improve student learning outcomes, its adoption and implementation by teachers in science education remain scarce. This study examines antecedents of science teachers' flipped teaching readiness to act,…

The purpose of this study is to examine the relationship between engineering faculties' perception of the diversity climate and their turnover intentions at R1 (Research 1) universities across the U.S. We sampled 1,101 tenure-track engineering faculty for this purpose. Data analysis showed that an engineering faculty's demographic characteristics…

This research examines the influence of integrating generative artificial intelligence (GAI) in education, focusing on its acceptance and utilization among elementary education students. Grounded in the Task-Technology Fit (TTF) Theory and an expanded iteration of the Unified Theory of Acceptance and Use of Technology (UTAUT) model, the study…

The aim of this study is to explore and identify the factors influencing the intentions of vocational high school teachers in Indonesia to utilize web-based e-learning platforms. Utilizing the Technology Acceptance Model (TAM) as the theoretical framework, this research expands to include three additional external variables: motivation to use,…

Artificial Intelligence (AI) influences many activities and aspects of daily life including the higher education environment. AI in education has become vital for educators and researchers. There is a rising debate regarding the positive advantages and how higher education institutions adapt to changes in the learning perspectives of students.…

Grounded in the expectation-confirmation theory and the D&M Information Success Model, this study investigates the factors influencing college students' continuance intention to use mobile learning from three perspectives: educational institutions, instructors, and learners. About 421 college students were randomly selected to participate in a…

The framework known as Transparency in Learning and Teaching, often called TILT, advocates small enhancements in teaching, encouraging faculty to build on the existing strengths of their courses. When the COVID-19 pandemic emerged in spring 2020, TILT quickly became a method that college and university teaching centers introduced to faculty to…

Teachers' psychological condition is important to both their professional well-being and their students' learning. Among various psychological factors, turnover intention is a major concern for school leaders and policymakers. While some effects of burnout and job satisfaction on turnover intention have been reported, little is known about the…

This study examines the effectiveness of a game-based metaverse platform in enhancing learning outcomes in economics education. Students were virtually transported back to the Great Depression within the metaverse. System data and self-assessment surveys assessed aspects such as ease of use and perceived usefulness for learning, evaluating their…

The purpose of this paper is to analyze factors that affect the behavioral intentions of undergraduate students to use blended learning methods. The research uses the three-tier use model (3-TUM) to explore the influencing behavioral factors of students at the undergraduate level to use LMSs. "The research was carried out at a university and…

With the large number of online courses currently available, learners may have difficulty choosing the appropriate course, so online education institutions have launched a free trial marketing approach. The factors influencing learners' continuous usage of online courses in the mode of course trial have become a prominent and meaningful topic.…

Learning to respond to a computer program that is not working as intended is often characterized as finding a singular bug causing a singular problem. This framing underemphasizes the wide range of ways that students and teachers could notice discrepancies from their intention, propose causes of those discrepancies, and implement interventions.…

Using the pull-and-push model as a main theoretical framework, this qualitative interview-based study explores the changes in STEM students' intentions to pursue international mobility in the context of the Russia-Ukraine war and the factors related to students' mobility decisions in the context of geopolitical tensions. The findings suggest that…