This brief article introduces the topic of intelligence as highly appropriate for educational measurement professionals. It describes some of the uses of intelligence tests both historically and currently. It argues why knowledge of intelligence theory and intelligence testing is important for educational measurement professionals. The articles…

This study aims to provide a comprehensive understanding of how AI is influencing and shaping various aspects within the academic context by using a mixed-methods approach, combining quantitative investigation and qualitative analysis to explore AI impacts on undergraduate education. The findings indicate a significant positive correlation between…

Artificial intelligence in education (AIED) applications have emerged as a promising solution to address the unique educational challenges faced by students with autism spectrum disorder (ASD). However, there is a lack of comprehensive meta-analyses examining the effectiveness of AIED applications on ASD students' academic achievement and the…

Scores derived from intelligence instruments predict many important outcomes in life, so it is not surprising that researchers and clinicians seek out interventions aimed at increasing these scores. Dixon et al. (J Behav Educ, 2019. https://doi-org.bibliotheek.ehb.be/10.1007/s10864-019-09344-7) recently investigated the relation between instruction based on…

This study examined adaptive functioning, strategies used to develop adaptive functioning skills, and areas where additional services could benefit autistic young adults without intellectual disability. Participants were 21 autistic young adults and at least one parent of each young adult. Quantitative analyses replicated previous reports of an…

Here, intelligence is taken to mean scores from psychometric tests of cognitive functions. This essay describes how cognitive tests offer assessments of brain functioning--an otherwise difficult-to-assess organ--that have proved enduringly useful in the field of health and medicine. The two "consequential world problems" (the phrase used…

This Meta-Analysis investigated the relationship between emotional intelligence (EI) and giftedness. The study focused on whether gifted learners possessed higher levels of EI when compared with their non-gifted peers. Furthermore, it sought to determine if gifted males and gifted females differed in their EI abilities. A search of published and…

Semantic illusions are recognition errors that occur when an individual fails to notice that information contradicts their prior knowledge (Barton & Sanford, 1993; Erickson & Mattson, 1981). For example, after hearing the question, "If a plane crashes while flying over state lines, where should the survivors be buried?" many…

This paper reports two studies examining correlates of self-estimated intelligence (SEI). In the first, 517 participants completed a measure of SEI as well as self-estimated emotional intelligence (SEEQ), physical attractiveness, health, and other ratings. Males rated their IQ higher (74.12 vs. 71.55) but EQ lower (68.22 vs. 71.81) than females…

What are consequential world problems? As "grand societal challenges", one might define them as problems that affect a large number of people, perhaps even the entire planet, including problems such as climate change, distributive justice, world peace, world nutrition, clean air and clean water, access to education, and many more. The…

Machine learning (ML) provides a powerful framework for the analysis of high-dimensional datasets by modelling complex relationships, often encountered in modern data with many variables, cases and potentially non-linear effects. The impact of ML methods on research and practical applications in the educational sciences is still limited, but…

Engaged and disengaged behaviors have been studied across a variety of educational contexts. However, tools to analyze engagement typically require custom-coding and calibration for a system. This limits engagement detection to systems where experts are available to study patterns and build detectors. This work studies a new approach to classify…

This secondary analysis of data from a randomized control trial of an early mathematics intervention, ROOTS, explored whether patterns of intervention response were best categorized by the typical response/non-response binary or a more complex framework with additional response profiles. Participants included kindergarten students at risk for…

In a span of about three days in the spring of 2023, the author's Instagram feed became inundated with mentions of artificial intelligence (AI), including Chat GPT, text-to-image models, and much more. She would turn on the radio and hear about the controversy surrounding AI, or look at her cousin's social media posts about the injustices of her…

One of the most advanced reality technologies for education in recent years is augmented reality (AR). To create a fun learning atmosphere and to aid student learning, several subjects have begun incorporating modern technology into their teaching and learning procedures. In addition to being extensively tested and developed for typical students,…