This research examines how the human genome and SES jointly and interactively shape verbal ability among youth in the U.S. The youth are aged 12-18 when the study starts. The research draws on findings from the latest GWAS as well as a rich set of longitudinal SES measures at individual, family and neighborhood levels from Add Health (N = 7194).…

The paper aims to identify the new requirements of young people for education in the digital economy of the future and, considering these requirements, identify the attractiveness of higher education programs on training digital personnel to work with breakthrough technologies among young people in Central Asia and Russia. The authors conduct a…

Many have expressed concerns with respect to the development of managerial skills in business graduate programs. Time constraints and limited practice opportunities are, arguably, the key roadblocks for development. The author explores the outcomes of a course that addresses these roadblocks by providing an instruction that cuts across academic…

Using the comparative approach, researchers draw inferences about the evolution of cognition. Psychologists have postulated several hypotheses to explain why certain species are cognitively more flexible than others, and these hypotheses assume that certain cognitive skills are linked together to create a generally "smart" species.…

Despite intelligence research being among the most replicable bodies of empirical findings--a Rosetta stone across the social sciences--the communication of intelligence research with non-intelligence researchers and the public remains a challenge, especially given ongoing public controversies throughout the history of the field. Hunt argued that…

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…

In massive open online courses (MOOCs), learners can interact with each other using discussion boards. Automatically inferring the states or needs of learners from their posts is of interest to instructors, who are faced with a high attrition in MOOCs. Machine learning has previously been successfully used to identify states such as confusion or…

Purpose: This exploratory study aimed to investigate the potential impact of sentence-level comprehension and sentence-level fluency on passage comprehension of deaf students in elementary school. Method: A total of 159 deaf students, 65 students (M[subscript age] = 13.46 years) in Grades 3 and 4 and 94 students (M[subscript age] = 14.95 years) in…

Multiple Intelligences (MI) theory assumes that people have a full range of intelligences, and individuals differ. Although there have been many studies conducted related to MI, there are still questions that need answers in the context of students who are learning English as a Foreign Language (EFL) in China. Many teachers believe that…

The presented work is a student marks and grade prediction system using supervised machine learning techniques, the system is developed on the historic performance of students. The data used in this research is collected from Federal Board of Intermediate and Secondary Education Islamabad Pakistan, there are 7 regions in FBISE i.e. Punjab, Sindh,…

In this paper, we describe our solution to predict student STEM career choices during the 2017 ASSISTments Datamining Competition. We built a machine learning system that automatically reformats the data set, generates new features and prunes redundant ones, and performs model and feature selection. We designed the system to automatically find a…

Digital technology has provided users with new connections that have reset our understanding of social architectures. As a reaction to Artificial Intelligence (AI) and Big Data, the educational field has rearranged its structure to consider human and non-human stakeholders and their actions on digital platforms. In light of this increasingly…

To thrive in today's economy and the workforce of the future, individuals need creativity and problem-solving skills. Emotion skills have been increasingly discussed as well, with companies listing emotional intelligence as one of the top skills needed for professional success. The present paper describes a course designed to teach professional…

The Wechsler Intelligence Scale for Children (WISC) is the most widely used intelligence test in the world. Now in its fifth edition, the WISC-V has been translated and adapted for use in nearly a dozen countries. Despite its popularity, numerous concerns have been raised about some of the procedures used to develop and validate translated and…

This study investigated the factorial invariance of the Taiwan Wechsler Intelligence Scale for Children, Fifth Edition (WISC-V) across age and gender. A higher order five-factor model was tested on a nationally representative sample of 1,034 children aged 6-16 years. The results demonstrated full factorial invariance for Taiwan children of…