The rapid emergence of generative artificial intelligence (GenAI) in academic settings has led to growing concerns about its impact on writing and assessment practices. This paper reviews the latest literature on detecting GenAI-generated content and explores the challenges and potential solutions faced by educators. This study identifies various…

This study aimed to design an integrative instructional model to enhance Islamic legal literacy, ma?la?ah reasoning, and the character of religious moderation character through digital technology. Employing a Research and Development (R&D) approach tailored for Islamic higher education, the research involved needs analysis, model development,…

With the global rise of digital education, fragmented academic reading has attracted increasing attention, as an emerging learning mode among university students in various countries. This study explores the factors influencing university students' acceptance and use of fragmented academic reading through a comprehensive framework that integrates…

Background/purpose: This study aimed to develop and validate a causal model of factors influencing the mathematical reasoning ability of Grade 6 students in Thailand. Materials/methods: The sample consisted of 530 students selected through multi-stage random sampling. Research instruments included a basic mathematics knowledge test, a mathematical…

This study explores the role of perceived utility, social influence, and ethical concerns in the adoption of AI-based data analysis tools among academic researchers in China, focusing on differences between public and private universities. The research aims to identify key drivers and barriers influencing the integration of AI technology in…

Mentoring can have an equalizing impact on educational outcomes by critically taking on the deeper issues around oppression and marginalization while bringing to light the cultural and institutional roots of intrapsychic (e.g. implicit bias) and interpersonal racism (e.g. microaggressions). Educators of teacher candidates have two openings for…

Assessment of student learning at the United States Military Academy (USMA) is a relatively new process. The USMA faces an additional challenge, as many of its instructors and professors are active-duty military officers who rotate through two- to three-year teaching assignments before transitioning back to the Army. To address this challenge, the…

This study looks at the relevance of Holland's Hexagonal Model of vocational interests within a collectivistic cultural context by examining the alignment between RIASEC personality types and occupational daydreams among Indonesian high school students. Informed by a mixed-methods approach, 649 students completed the Self-Directed Search (SDS),…

This study examined the relationship between trust in AI-powered educational technology (AI-EdTech) and school burnout among Turkish high school students and the mediating role of perceived usefulness and academic stress in this relationship. A total of 619 students (M[subscript age] = 15.95, SD = 0.94) participated in the study, and structural…

With the rapid advancement of artificial intelligence technology, the artificial intelligence literacy, creativity, self-efficacy, and academic achievement of college students have increasingly garnered attention from the global educational community. This study, based on cognitive behavioral theory, employs Partial Least Squares Structural…

Purpose: Information problem-solving skills (IPS) are essential for university students, as they are required for various academic tasks. While existing research shows immediate post-test improvements with IPS training, its impact on learning remains uncertain. This study examines the effect of a four-component instructional design (4C/ID)…

This study aims to (1) investigate the current and expected levels of intercultural communication competence (ICC) of foreign language teachers at Guangxi University of Foreign Languages (GUFL); and (2) develop an appropriate model for enhancing their ICC. The results revealed significant gaps between current and expected ICC levels of GUFL…

Supporting academically at-risk students has attracted much attention in the field of learning analytics. However, much of the research in this area has focused on developing advanced machine learning models to predict students' academic performance, which alone is insufficient to improve student learning without the implementation of timely…

Covariational reasoning has emerged as a productive construct to characterize students' mathematical development. Researchers have illustrated its importance for major middle, secondary, and undergraduate mathematical concepts, including rate of change, accumulation, and modeling. Within this line of work, several researchers have indicated…

Background/purpose: Depressive symptoms are prevalent in student-athletes. Evidence for the factorial validity of measures assessing depressive symptoms in student-athletes is presently absent from the literature. This study examined the best fitting factorial structure and invariance across sexes of the PHQ-9. Methods: Data were collected from…