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…

Regulations and policy in early care and education (ECE) is based largely on the idea that structural elements of ECE, such as child-adult ratio, predict teacher-child interactions that then predict child developmental outcomes. This structure-process-outcome model was initially proposed when many states had minimal ECE quality standards. Our…

This research aimed to develop and evaluate a creative leadership program for secondary school teachers under Provincial Administrative Organizations in Northeastern Thailand. Employing a comprehensive research and development methodology, the study proceeded through three sequential phases. In Phase 1, we analyzed the components of creative…

Education Transformation in the Industrial Revolution 4.0 era demands early-childhood teachers to possess pedagogical competencies that are not only theoretical but also innovative, creative, and contextual. These competencies are essential for supporting the holistic development of young children, encompassing cognitive, social, emotional, and…

The field of vocabulary instruction has witnessed the emergence of three models that operationalize the construct of elaborate processing and thus help predict the effectiveness of vocabulary learning activities: Involvement Load Hypothesis (ILH), Involvement Load Hypothesis Plus (ILH Plus), and Technique Feature Analysis (TFA). However, no…

Assessing achievement is a complex task due to its dependence on multiple factors and the hierarchical structure of educational data, yet surveys like TIMSS offer valuable insights into its determining factors like students' mathematics anxiety. However, disregarding the nested structure of data and ignoring the assumptions of models causes poor…

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…

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…

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…

The purposes of this study were to propose a model of cognitive learning outcomes in outdoor education and examine their relationships with two antecedents (quality of support resource and involvement) and one consequence (satisfaction). A total of 343 physical education student teachers in Singapore completed a questionnaire upon completion of a…