This article investigates the state of AI regulations from diverse geopolitical contexts including the European Union, the United States, China, and several African nations, and their implications for learning analytics (LA) and AI research. We used a comparative analysis approach of 11 AI regulatory documents and applied the OECD framework to…

This paper examines how UNESCO's "Guidance for Generative AI in Education and Research" uses personification metaphors to describe artificial intelligence and how these linguistic choices shape public understanding of AI's educational role. Through critical discourse analysis, we identify personification metaphors that attribute human…

This study aimed to identify the nature of multiple intelligences among educational counselors in Jordanian schools by examining the predictive differences in multiple intelligences among educational counselors, as well as their relationships and impacts based on demographic variables, gender, and academic qualifications. The researcher developed…

This case study reports on the perceptions and dialogic behaviors of 15 preservice K-12 teachers engaging in simulation-based teaching practice with AI-powered student agents. Data included transcripts of text-based classroom dialogue, interviews, observations, and conversation logs. Using mixed-methods analyses and a framework of ambitious…

To explore the role of parents in secondary school students' persistence in human-AI hybrid learning, this mixed-method study proposes a model that integrates active and restrictive parental mediation into an established baseline model from prior research. Using structural equation modelling to analyse data from 302 students, the proposed model…

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…