The objective of this research was to develop robust predictive models of the gains in working memory (WM) and fluid intelligence (Gf) following executive attention training in children, using genetic markers, gender, and age variables. We explore the influence of genetic variables on individual differences in susceptibility to intervention.…

This article examines the relationship between emotional intelligence and ethical leadership competencies among university students. The research hypothesis was that emotional intelligence correlates positively with the exercise of good leadership. To this aim, a study was carried out with 1101 university students from Chile, Mexico and Spain who…

The purpose of this study was to examine the factorial invariance of the ASIS (Anadolu Sak Intelligence Scale) across gender. Raw scores from the ASIS standardization study (N = 4641) were used in the analyses. Factorial invariance was analyzed by gender across three age groups: 4-7 (N = 2528), 8-9 (N = 848), and 10-12 (N = 1265) using the…

The emergence of sophisticated AI tools such as ChatGPT, coupled with the transition to remote delivery of educational assessments in the COVID-19 era, has led to increasing concerns about academic integrity and test security. Using AI tools, test takers can produce high-quality texts effortlessly and use them to game assessments. It is thus…

Purpose: This paper attempts to explore possible contributing factors of females' outperformance and males' underperformance in the higher education in Pakistan from teachers' perspective. The central question of the study is what are the key factors that affect female and male students' educational performance at the university level? Using…

This article revisits the Mincer earnings function and presents comparable estimates of the average monetary returns associated with an additional year of education across different regions worldwide. In contrast to the traditional Ordinary Least Squares (OLS) method commonly employed in the literature, this study applied a cutting-edge approach…

Purpose: We aim to identify the most accurate model for predicting adolescent (Grade 9) reading difficulties (RD) in reading fluency and reading comprehension using 17 kindergarten-age variables. Three models (neural networks, linear, and mixture) were compared based on their accuracy in predicting RD. We also examined whether the same or a…

Despite the important role assigned to analogical reasoning (AR) in cognition and language, the relationship between this ability and language skills in the emergent literacy period has not been sufficiently studied, especially in Spanish speakers. To explore this link, we examined two modalities of AR (verbal and non-verbal) as predictors of…

Objective: This study examines how accurately a small set of short-term academic indicators can approximate long-term outcomes of community college students so that decision-makers can take informed actions based on those indicators to evaluate the current progress of large-scale reform efforts on long-term outcomes, which in practice will not be…

Background: The importance of high school completion for jobs and postsecondary opportunities is well- documented. Combined with federal laws where high school graduation rate is a core performance indicator, school systems and states face pressure to actively monitor and assess high school completion. This proposal employs machine learning…

The literature provides multiple measures of diversity along a single demographic dimension, but when it comes to studying the interaction of multiple diversity types (e.g. age, gender, and race), the field of useable measures diminishes. We present the use of decision trees as a machine learning technique to automatically identify the…

Emotional intelligence is a contributing construct to learning and other personal and career developments. It is a perplex notion involving many conceptions which resulted in various tools of emotional intelligence. University education is a terminal stage when young people are ready to enter the job arena and are expected to be emotionally sound.…

This study tested a proposed model consisting of mathematics anxiety, mathematics self-efficacy, and implicit theories of intelligence in predicting mathematics and science career interest in middle school students, while controlling for student math level. One hundred fifty-two seventh-grade students in a middle school in the USA participated in…

Despite the large body of research on students' educational and career choices in the field of technology, design, and science, we still lack a clear understanding of how to stimulate more students to opt for a study path or career within the STEM fields (Science, Technology, Engineering, Mathematics). In this article, we outline a new theoretical…

Research to date has identified various risk factors in the emergence of depressive disorders in adolescence. There are very few studies, however, which have analyzed the role of perceived emotional intelligence in depressive symptoms longitudinally during adolescence. This work aimed to analyze longitudinal relationships between perceived…