Background/purpose: Generative artificial intelligence (GenAI) is often promoted as a transformative tool for assessment, yet evidence of its validity compared to human raters remains limited. This study examined whether an AI-based rater could be used interchangeably with trained faculty in scoring complex coursework. Materials/methods:…

This study explores how university English as a Foreign Language (EFL) learners developed reading comprehension through the integration of the Question-Answer Relationship (QAR) strategy and ChatGPT. Thirty-five first-year students from a university in northern China participated in three rounds of semi-structured interviews in five weeks.…

Artificial intelligence (AI) is experiencing evolutional changes currently, influencing nearly all areas of society and, mainly, the way we learn. This has promoted many scholars and practitioners in the field of education to consider AI as a significant topic for research. This study investigates EFL students' perceptions regarding the impact of…

Existential intelligence is often neglected in literature, especially at the tertiary level. Therefore this study aims to identify the degree of existential intelligence in a sample of graduate students at the World Islamic Sciences University in Jordan. In addition, the study aims to find out whether this degree differs according to a number of…

Intelligence is a well-supported predictor of school achievement, however, it refers only to the cognitive facet of learning determinants. The aim of this article is to contrast the predictive properties of two comprehensive concepts developed within the actiotope model of giftedness (AMG) with that of intelligence. These concepts are educational…

We examined cognitive deficits in problematic drinkers with and without mild to borderline intellectual disability (MBID). Problematic drinkers were expected to show a significantly lower estimated performance IQ (PIQ), but not a lower estimated verbal IQ (VIQ), compared to light drinkers. Participants (N = 474) were divided into four groups based…

Sleep disturbances are likely to be associated with emotional and behavioural problems in typically and atypically developing children. The study was aimed to evaluate sleep disturbances in children with autism spectrum disorder (ASD) and their associations with emotional/behavioural problems. The study comprised eighteen 5-year-old boys with…

The structural validity of the "Wechsler Intelligence Scale for Children-Fourth Edition" (WISC-IV) was evaluated using confirmatory factor analysis for a clinical sample of 1,537 students diagnosed with specific learning disabilities (SLD) by school psychologists in two large southwestern school districts. Results indicated that a…

The aim of this study was to differentiate professional dancers from two different Spanish dance companies with regard to the effects of emotional intelligence, mood and coping strategies, by analysing the existing interrelationship between them. The sample was composed of 36 dancers: 16 women and 20 men aged 19 to 40. Twenty of them came from the…

Background: Research on causal reasoning often uses group-level data analyses that downplay individual differences and simple reasoning problems that are unrepresentative of everyday reasoning. In three empirical studies, we used an individual differences approach to investigate the cognitive processes people used in fault diagnosis, which is a…

The use of data to govern education is increasingly supported by the use of knowledge-based technologies, including algorithms, artificial intelligence (AI), and tracking technologies [Fenwick, T., E. Mangez, and J. Ozga. 2014. "Governing Knowledge: Comparison, Knowledge-Based Technologies and Expertise in the Regulation of Education."…

Emergence of the use and application of Artificial Intelligence (AI) in higher education in India has opened new possibilities and challenges. Use of AI in will bring in effective change of governance in the entire internal architecture of Indian Institutes of higher education. The prospect of use of AI includes investigation of educational…

The purpose of this research is to develop the client-counselor interaction monitoring model of the logo counseling website. The model attempts to help counselors in guiding and helping the students (clients) to achieve healthy self-esteem. Machine learning techniques integrated into the model will ensure that the recommendations can be available…

Network models of the WAIS-IV based on regularized partial correlation matrices have been reported to outperform latent variable models based on uncorrected correlation matrices. The present study sought to compare network and latent variable models using both partial and uncorrected correlation matrices with both types of models. The results show…

Raven's Standard Progressive Matrices (SPM) test and related matrix-based tests are widely applied measures of cognitive ability. Using Bayesian Item Response Theory (IRT) models, I reanalyzed data of an SPM short form proposed by Myszkowski and Storme (2018) and, at the same time, illustrate the application of these models. Results indicate that…