The most global score yielded by intelligence tests, IQs, are supported by substantial validity evidence and have historically been central to the identification of intellectual disabilities, learning disabilities, and giftedness. This study examined the extent to which IQs measure the ability they target, psychometric "g." Data from…

Deficits in Theory of Mind (ToM)--the ability to interpret others' beliefs, intentions and emotions--undermine the ability of individuals with Autism Spectrum Disorder (ASD) to interact in socially normative ways. This study provides psychometric data for the Adult-Theory of Mind (A-ToM) measure using video-scenarios based in part on Happé's…

There has been little research connecting underlying emotion processes (e.g., emotion regulation) to frequent behavior problems in young children with autism spectrum disorder (ASD). This study examined the stability of emotion regulation and its relationship with other aspects of child functioning. Participants included 108 children with ASD,…

After nearly a century of development, gifted education has evolved into a complex educational discipline with well thought out pedagogy and research agendas. However, while the number of studies escalates, the field as a whole has been criticized for producing fragmented and piecemeal results. One of the reasons for these shortfalls is that the…

Introduction: The present study examined the mediating role of academic engagement in the relationship between emotional intelligence and academic satisfaction when controlling for sociodemographic variables and other classic constructs such as conscientiousness and personality traits. Method: The sample included 203 university students (140…

Emotional intelligence is an important area of psychology, which has gained acceptance in almost every academic discipline. It also seems to influence the various academic activities undertaken by students. This article, which is part of a larger study, reviews the literature on emotional intelligence, and its relationship with the academic and…

This study investigates the need to design and develop emotional intelligence curriculum for students in higher education. Emotional intelligence curriculum may be used as a therapy that provides skills to manage high emotions faced by generation "Y", on a day-to-day basis. Generation "Y" is emotionally challenged with: drug…

This study assessed the utility of a brief assessment (the Peabody Picture Vocabulary Test-4th Edition; PPVT4) as a proxy for verbal IQ (VIQ) in large-scale studies of autism spectrum disorder (ASD). In a sample of 2,420 proband with ASD, PPVT4:IQ correlations were strong. PPVT4 scores were, on average, 5.46 points higher than VIQ; 79% of children…

The purpose of this mixed methods study was to measure the clinical teaching effectiveness (CTE) and emotional intelligence (EI) of dental hygiene (DH) clinical instructors, and to identify any statistically significant correlations found between the CTE and EI assessment outcomes. The qualitative phase of the study was intended to increase…

We propose a model that employs convolutional neural networks (CNN) to evaluate sociomoral reasoning maturity, a key social ability, necessary for adaptive social functioning. Our model is used in a serious game to evaluate learners. It uses pre-annotated textual data (verbatims) and a coding scheme (SoMoral) applied by experts in psychology.…

Augmented Graph Grammars are a graph-based rule formalism that supports rich relational structures. They can be used to represent complex social networks, chemical structures, and student-produced argument diagrams for automated analysis or grading. In prior work we have shown that Evolutionary Computation (EC) can be applied to induce…

In the conducted study, it was aimed to determine the impacts of Society 5.0 on digital transformation in organizations in human technology integration. For this purpose, answers were sought to the questions of changing positions of people in line with changing business conditions, functions of people in the digital world, changing roles of…

The High Performing Systems for Tomorrow (HPST) was a three-year partnership among the Organization for Economic Cooperation and Development (OECD), the National Center on Education and the Economy (NCEE), and a select group of education leaders, including Directors-General, Deputy Ministers, senior advisors, and others, from among a group of…

Although Machine Learning (ML) is used already in our daily lives, few are familiar with the technology. This poses new challenges for students to understand ML, its potential, and limitations as well as to empower them to become creators of intelligent solutions. To effectively guide the learning of ML, this article proposes a scoring rubric for…

Background: Deficits in the ability to use language in social contexts, including storytelling skills, are observed across the autism spectrum. Development in machine-learning approaches may contribute to clinical psychology and psychiatry, given its potential to support decisions concerning the diagnosis and treatment of psychiatric conditions…