Introduction: There continues to be a lack of conclusive data on how IQ, executive functions and emotional intelligence, as a set of factors, contribute toward academic skills. Method: This lack prompted the implementation of this study in 34 children (9-year-olds), through the application of the following instruments--Kaufman Brief Intelligence…

Although numerous studies show that intelligence, measured by various tests, is a significant predictor of school achievement, this cognitive variable can only explain about 50% of the variance. It is also known that communicative language ability represents an important basis for learning subject content in the early period of formal education.…

Introduction: Teaching is an emotionally challenging profession, sometimes resulting in high levels of stress, burnout, and teacher burnout. It has often been claimed that certain emotional competencies such as emotional intelligence can reduce feelings of burnout in teachers. Method: Method. A descriptive and correlational analysis was made of…

The actiotope model of giftedness (AMG) highlights the interactions between the individual and the environment. Educational and learning capital (ELC) are essential resources that promote the development of excellence. The study objectives were to examine the contribution of educational capital (EC), learning capital (LC), and general intelligence…

Online supplementary education has been prevalent in recent years due to the advent of technology (e.g., live streaming) and the COVID-19 pandemic. However, the performance of students in this mode of education varies greatly, and the underlying reasons are yet to be investigated. This study aims to understand the impact of various factors and…

The aim of this study was to analyze the joint, relative, and unique predictive value of students' prior knowledge of mathematics (knowledge of fractions and ability to divide natural numbers) and general cognitive ability (fluid intelligence and working memory) upon general mathematics achievement in the last year of primary school. Seventy-five…

This study aimed to examine the unique longitudinal role of theory of mind (ToM) on reading comprehension among primary school children, while controlling for other influencing factors. It also examined how this impact varies by grade, text genre, and processing level. A sample of 430 Chinese children in Grades 2, 4, and 6 was observed over a…

This study examined the independent contribution of morphological awareness and orthographic awareness in reading comprehension, controlling for working memory and reading fluency in Arabic-speaking children. Participants (N = 244) from grades four and five, were classified into typical comprehenders (n = 207) and poor comprehenders (n = 37). All…

This study investigated whether listening comprehension played a mediator role between vocabulary and reading comprehension. 127 Mandarin-speaking children were longitudinally assessed at 6;4, 6;10, 7;4, and 7;10. Data were collected in four batteries of tests implemented at the beginning of first grade (T[subscript 1]); at mid-first grade…

The purpose of this quantitative, correlational-predictive study was to assess if and to what extent second-grade student race (operationalized as minority status) and student socioeconomic status (operationalized as eligibility for Free and Reduced Lunch) predict second-grade student classification as gifted under two scenarios: using the current…

The purpose of this study was to determine the relationship between interpersonal intelligence and student learning outcomes so that there is an increase and strengthening of student achievement. The method used in this research is field research with a correlational quantitative approach which aims to analyze the relationship between…

Purpose: Researchers have developed a constellation model of decodingrelated reading disabilities (RD) to improve the RD risk determination. The model's hallmark is its inclusion of various RD indicators to determine RD risk. Classification methods such as logistic regression (LR) might be one way to determine RD risk within the constellation…

Logistic regression models have traditionally been used to identify the factors contributing to students' conceptual understanding. With the advancement of the machine learning-based research approach, there are reports that some machine learning algorithms outperform logistic regression models in terms of prediction. In this study, we collected…

This study examined the relationships between word reading and rapid automatized naming (RAN) for objects and letters in Arabic-speaking children with and without dyslexia to determine potential modulating effects of color on naming by comparing children's performance on color and black-white RAN plates. Participants were 114 Arabic-speaking third…

Intelligence is a well-supported predictor of school achievement, however, it refers only to the cognitive facet of learning determinants. The aim of this article is to contrast the predictive properties of two comprehensive concepts developed within the actiotope model of giftedness (AMG) with that of intelligence. These concepts are educational…