Behavioural phenotype and autism-related traits of 38 patients affected by Cornelia de Lange syndrome (CdLS) were assessed using a specific neuropsychiatric protocol. Subsequently, we search for possible genotype-phenotype correlations comparing individuals with NIPBL variants and patients with negative molecular results. Firstly results showed a…

Theoretical and practical work in gifted education has been dominated by mechanistic precision in measurements designed to select students for gifted programs and guide them through their development. Too much faith in mechanistic precision can become a form of dogmatism that obscures very important, less-measurable dimensions of human ability.…

This article discusses the issues of the basic processes underlying intelligence, considering both historical and contemporary perspectives. The attempt to elucidate basic processes has had, at best, mixed success. There are some problems with pinpointing the underlying basic processes of intelligence, both in theory and as tested, such as what…

The nature of teaching and learning has evolved over the years, especially as technology has evolved. Innovative application of educational analytics has gained momentum. Indeed, predictive analytics have become increasingly salient in education. Considering the prevalence of learner-system interaction data and the potential value of such data, it…

People's perceptions of their intelligence correlate only moderately with objective intelligence measures. On average, people overestimate themselves. According to the popular Dunning-Kruger effect, this is particularly true for low performers: across many domains, those in the lowest quartile overestimate their abilities the most. However, recent…

The purpose of the present study was to evaluate the psychometric properties of Raven's colored progressive matrices by estimating the presence of pseudo-guessing and pseudo-carelessness. Participants were 1127 children from ages 5 to 11. Guessing and carelessness were assessed using the lower and upper asymptotes of the 3PL and 4PL item response…

In this article, the authors utilize the philosophical methodology developed by Michael Hardt and Antonio Negri to formulate a theory of educational realism. The goal is to posit an embodied form of education that emerges from within the movements of the multitude. The connection between multitudinous movement and education is the concept of…

Artificial neural networks (NN) can help researchers estimate propensity scores for quasi-experimental estimation of treatment effects because they can automatically detect complex interactions involving many covariates. However, NN is difficult to implement due to the complexity of choosing an algorithm for various treatment levels and monitoring…

Learning paths are curated sequences of resources organized in a way that a learner has all the prerequisite knowledge needed to achieve their learning goals. In this article, we systematically map the techniques and algorithms that are needed to create such learning paths automatically. We focus on open educational resources (OER), though a…

Educational institutions are creating a considerable amount of data regarding students, faculty and related organs. This data is an essential asset for academic institutions as it has valuable insights, knowledge and intelligence for the policymakers. Students are the fundamental entities and primary source of data creation in any educational…

Higher education institutions adopt conversational agents, or chatbots, to perform and automate certain business functions. While chatbots exist to support Enrollment Services, Financial Aid, and other departments within an institution, Institutional Research lacks options. Institutional Research supports higher education institutions by providing…

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/10.1007/s10864-019-09344-7) recently investigated the relation between instruction based on…