We present the results of a study investigating the potential role of the generative AI GPT-4 in scaffolding students' metacognitive activities during problem-solving. The theoretical framework according to which students' interactions with GPT-4 are analysed is based on three main components: the notion of utilisation scheme within the frame of…

The increasing volume of cyber threats, combined with a critical shortage of skilled professionals and rising burnout among practitioners, highlights the urgent need for innovative solutions in cybersecurity operations. Generative Artificial Intelligence (GenAI) offers promising potential to augment human analysts in cybersecurity, but its…

Generative artificial intelligence (GenAI) is reshaping the research paradigm of doctoral education, with growing evidence suggesting that the use of artificial intelligence (AI) tools could promote innovative behaviour among doctoral students. However, the use of AI tools in scientific research should be approached with special caution, as…

This document records testimony from a hearing before the Subcommittee on Early Childhood, Elementary, and Secondary Education of the Committee on Education and Workforce about the impact of artificial intelligence (AI) on K-12 education. Opening statements were presented by: (1) Honorable Kevin Kiley, Chairman, Subcommittee on Early Childhood,…

This paper examines whether general intelligence (g) factors derived from different test batteries are equivalent. There are three views regarding the equivalency of g-factors: (1) "indicator indifference" claims that test content is irrelevant as long as g loadings are identical and that single tests can be adequate indicators of g; (2)…

Ancillary index scales provide assessment professionals the opportunity to conduct a more comprehensive interpretation of a student's performance on the Wechsler Intelligence Scales for Children, Fifth Edition (WISC-V); however, little is known about the performance of children with autism spectrum disorder (ASD) on these scales. The ASD special…

This study investigated the systematic rise in cognitive ability scores over generations, known as the "Flynn Effect," across middle childhood and early adolescence (7-15 years; 291 monozygotic pairs, 298 dizygotic pairs; 89% White). Leveraging the unique structure of the Louisville Twin Study (longitudinal data collected continuously…

Background: Children with reading difficulty exhibit deficits in multiple cognitive areas (e.g., language skills, working memory, processing speed). Therefore, evaluation of reading difficulty typically includes assessment of both academic functioning and general intelligence (IQ). Although the IQ construct is considered robust in the general…

Background: Fetal life and infancy might be critical periods for brain development leading to increased risks of neurocognitive disorders and psychopathology later in life. We examined the associations of fetal and infant weight growth patterns and birth characteristics with behavior and cognitive outcomes at the age of 13 years. Methods:…

Machine-learning models can assist in diagnosing autism but have biases. We examines the correlates of misclassifications and how training data affect model generalizability. The Social Responsive Scale data were collected from two cohorts in Taiwan: the clinical cohort comprised 1203 autistic participants and 1182 non-autistic comparisons, and…

Most theories of intelligence do not directly address the question of whether people with high intelligence can successfully solve real world problems. A high IQ is correlated with many important outcomes (e.g., academic prominence, reduced crime), but it does not protect against cognitive biases, partisan thinking, reactance, or confirmation…

There is an ongoing debate as to whether autism spectrum disorder (ASD) is expressed differently in women than men. It is unclear whether differences found are specific to autism or merely reflecting normative development. In this study, we compared sex differences in developmental trajectories of autistic and co-occurring psychopathological…

The development of social intelligence is a delicate issue among teenagers. Insufficient social intelligence leads to social disorientation which may impede students' capacity to grow positively and to understand the reasons for their actions and the logic of the development of complex situations of interpersonal interaction. This study aims to…

Cheating detection in large-scale assessment received considerable attention in the extant literature. However, none of the previous studies in this line of research investigated the stacking ensemble machine learning algorithm for cheating detection. Furthermore, no study addressed the issue of class imbalance using resampling. This study…

This article focuses on integrating topics of emotional intelligence in curricular and co-curricular collegiate leadership education. The authors spotlight one institution's use of emotionally intelligent leadership as a framework across a variety of leadership programs, courses, and trainings. Critiques, considerations, and resources to inform…