Although previous research has found trait emotional intelligence (TEI) to be a moderate predictor of bullying behaviors in adolescents, this work has limited generalizability. The current study is the first to use a multidimensional approach to both TEI and bullying behaviors when looking at their relationship in high school students. The study…

Despite its proven success in various fields such as engineering, business, and healthcare, human-machine collaboration in education remains relatively unexplored. This study aims to highlight the advantages of human-machine collaboration for improving the efficiency and accuracy of decision-making processes in educational settings. High school…

Although Macau students have consistently been recognized as top performers in international assessments, little research has been conducted to explore the various factors that are associated with their achievement. This paper aimed to identify factors that could best predict Macau students' reading achievement using PISA 2018 data provided by…

Previous attempts to explain teachers' educational effectiveness have mostly focused on personal traits, organizational commitment, pedagogical content knowledge or the passion for education, and so on. We want to highlight that social skills--competencies that enable teachers to interact effectively with others--might contribute to the teachers'…

Artificial intelligence (AI) has the potential to support self-regulated learning (SRL) because of its strong anthropomorphic characteristics. However, most studies of AI in education have focused on cognitive outcomes in higher education, and little research has examined how psychological needs affect SRL with AI in the K-12 setting. SRL is a…

Research on the impact of the Sport Education model (SEM) in motivational terms is prolific and consistent; however, studies that jointly address the effects of the SEM on adolescents' motivational, emotional, and well-being dimensions are scarce. This study aimed to examine the effect of a multi-season SEM-based program on self-determined…

Introduction: There is a variety of literature regarding reading development in its acquisitional stages, and also regarding reading disabilities that appear in early childhood. However, from the cognitive point of view, there has been less study of reading comprehension in secondary students. The principal aim of this study was to analyze the…

Noncognitive constructs such as self-efficacy, social awareness, and academic engagement are widely acknowledged as critical components of human capital, but systematic data collection on such skills in school systems is complicated by conceptual ambiguities, measurement challenges and resource constraints. This study addresses this issue by…

Introduction: Transitioning from school to higher education or work is a pivotal moment in a student's life, requiring life-changing decisions. During this period, students who have acquired a wide range of Social, Emotional, and Behavioral (SEB) skills may feel more confident regarding their capacity to adapt positively to future challenges and…

This study aimed at investigating the relationship between multiple-intelligence and thinking patterns through critical thinking among tenth-grade students in Abu Dhabi private schools. This study used descriptive approach and SEM. Also, the study sample consisted of 350 students from five private schools in Abu Dhabi. The instruments used were…

Purpose: To examine thoroughly (1) The effect of Prior Knowledge, Emotional Intelligence and Motivation on Mathematical Communication, (2) The effect Prior Knowledge and Motivation concomitantly on Mathematical Communication, (3) The effect of Emotional Intelligence and Motivation simultaneously on Mathematical Communication, (4) The effect of…

Students' motivational beliefs, such as disciplinary intelligence mindsets, can influence their physics performance and persistence. Intelligence mindset beliefs have long been argued to fall along of continuum between fixed and growth mindsets. Those with fixed physics mindsets believe that ability in physics is innate and unchangable, while…

Background/Context: Early warning indicators (EWI) are often used by states and districts to identify students who are not on track to finish high school, and provide supports/interventions to increase the odds the student will graduate. While EWI are diverse in terms of the academic behaviors they capture, research suggests that indicators like…

This study addresses the challenge of teaching genetics effectively to high school students, a topic known to be particularly challenging. Leveraging the growing importance of artificial intelligence (AI) in education, the research explores the perspectives, attitudes, and behavioral intentions of pre-service teachers regarding the integration of…

This study analyzed the post-high school outcomes of exited high-school students with intellectual disability and autism spectrum disorder from a southwestern U.S. state. A predictive analytics approach was used to analyze these students' post-high school outcomes data, which every state is required to collect each year under U.S.…