Artificial Intelligence (AI) is gaining global attention due to its potential benefits in various sectors, primarily the education sector. Egypt is gradually realising the importance of such integration; however, there is limited research on the AI readiness levels of stakeholders, particularly in Higher Education (HE). This research aims to…

The integration of formative practice questions with textbook content is a well-known method for increasing student learning, and recent advances in artificial intelligence have made automatic question generation a viable option for scaling this learning method to thousands of textbooks. To expand this method to even more students, a parallel…

Mindset theory proposes that perfectionism is associated with a fixed mindset, but little research has studied this question. First, we reviewed the published literature (k = 8). Contrary to popular advice previously communicated to the public, perfectionistic standards were positively linked to an incremental theory and a growth mindset (rather…

Background: The application of generative artificial intelligence (GenAI) in education has been deepening. However, at the same time, behaviours that jeopardise academic health, such as learners' over-reliance on generative AI and massive plagiarism of generated content of generative AI in essay writing, have begun to emerge, and the issue of…

Personal intelligence concerns the ability to understand personality in oneself and others--including the understanding of motives, socioemotional traits, and abilities. We examined if people's scores on the ability-based "Test of Personal Intelligence (TOPI)" would be reflected in their narratives about someone whose personality they…

Interest in identifying factors influencing educational success is growing. It is often observed that a group of students share the same external variables (school environment) yet have different results, which states that individual variables have more impact on the determination of academic performance. Therefore, the present study aimed to…

Based on recent findings in cognitive neuroscience and psychology as well as computational models of working memory and reasoning, I argue that fluid intelligence (fluid reasoning) can amount to representing in the mind the key relation(s) for the task at hand. Effective representation of relations allows for enormous flexibility of thinking but…

Using emotional intelligence, teacher self-efficacy, and discrepancy as theoretical lenses, this multivariate study explored the relationship that exist between emotional intelligence, student teacher's actual and ideal self-efficacy, and discrepancy. Previous research on the impact of student teachers' experiences with emotional intelligence (EI)…

The Cattell-Horn-Carroll (CHC) or three-stratum model of intelligence envisions human intelligence as a hierarchy. General intelligence (g) is situated at the top, under which are a group of broad intelligences such as verbal, visuospatial processing, and quantitative knowledge that pertain to more specific areas of reasoning. Some broad…

The current study examined the effectiveness of a reading curriculum of explicit instruction on the letter-sound knowledge of a sample of elementary-aged students with Down syndrome. The procedures were adapted from prior research (King et al., 2020; Lemons et al., 2018; Lemons et al., 2015). Three participants between 9 and 11 years old…

Background: Addiction medicine still largely neglects the topic of mild and borderline intellectual disabilities (MBID), although patients with MBID are considered a risk group for substance-related problems and offending behaviour. This study aimed to explore the cognitive and adaptive impairments of inpatients in forensic addiction mental health…

The present study examined individual differences in 3 cognitive abilities: attention control (AC), working memory capacity (WMC), and fluid intelligence (gF) as they relate the tendency to experience task-unrelated thoughts (TUTs) and the regulation of arousal. Cognitive abilities were measured with a battery of 9 laboratory tasks, TUTs were…

This paper utilizes the concept of 'discriminate biopower' to explore how advancements in social and behavioral genomics might inform the racially exclusionary nature of one of the most inequitable and academically coveted environments in American public education: gifted education. In its birth, gifted education became a mechanism for regulating…

In a recent publication in the Journal of Intelligence, Dennis McFarland mischaracterized previous research using latent variable and psychometric network modeling to investigate the structure of intelligence. Misconceptions presented by McFarland are identified and discussed. We reiterate and clarify the goal of our previous research on network…

In recent years, machine learning (ML) techniques have received more attention in detecting aberrant test-taking behaviors due to advantages when compared to traditional data forensics methods. However, defining "True Test Cheaters" is challenging--different than other fraud detection tasks such as flagging forged bank checks or credit…