Higher education institutions have consistently strived to provide students with top-notch education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify the prediction process. ML can be utilized by academicians to obtain insight into student data and mine data for forecasting the performance. In this paper, the authors…

Many individuals with autism experience challenges using language in social contexts (i.e., pragmatic language). Characterizing and understanding pragmatic variability is important to inform intervention strategies and the etiology of communication challenges in autism; however, current manual coding-based methods are often time and labor…

Intellectual development means the growth of a child's ability to think and reason. It's about how they organize their minds, ideas and thoughts to make sense of the world they live in. The government of Vietnam requests the education sector to develop hidden competencies of students, particular young learners. This study therefore analyses…

Generative Artificial Intelligence (AI) refers to advanced systems capable of creating new content by learning from vast datasets, including text, images, and code. These AI tools are increasingly being integrated into various sectors, including education, where they have the potential to enhance learning experiences. While the existing literature…

This study examined the influence of teachers' emotional intelligence (EI) on academic achievement and outlined the model with the mediating effect of job satisfaction (JS) between the EI and academic achievement. Survey method was employed to collect the information from 728 secondary school teachers belong to Himachal Pradesh, a state of…

This study analyzed the mediating role that implicit theories of intelligence and academic self-efficacy may play in the relationship between psychopathology and mathematical performance. The sample consisted of 838 students from first and second year of high school. A numerical calculation test was applied, followed by psychopathology self-report…

This article describes a "straight-A" model of the creative process. It characterizes the creative process in five overlapping phases, with the variables most affecting those phases characterized as: (1) activators, (2) abilities, (3) amplifiers, (4) appeal to audience, and (5) assessment by audience. The creative process does not…

This article examines the relationship between emotional intelligence and ethical leadership competencies among university students. The research hypothesis was that emotional intelligence correlates positively with the exercise of good leadership. To this aim, a study was carried out with 1101 university students from Chile, Mexico and Spain who…

This preliminary quantitative research investigates preservice teachers' (PSTs) perceptions of adopting ChatGPT, an artificial intelligence (AI) tool, focusing on the early stage of the diffusion of innovation (DOI) process. The study aims to understand PSTs' innovation consciousness and how it influences their perceptions of integrating ChatGPT…

This paper analyzes the research performance evolution of a scientific institute, from its genesis through various stages of development. The main aim is to obtain, and visually represent, bibliometric evidence of the correlation of organizational changes on the development of its scientific performance; particularly, structural and leadership…

Decades of psycholinguistics research have shown that human sentence processing is highly incremental and predictive. This has provided evidence for expectation-based theories of sentence processing, which posit that the processing difficulty of linguistic material is modulated by its probability in context. However, these theories do not make…

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…

Process overlap theory (POT) is a new theoretical framework designed to account for the general factor of intelligence ("g"). According to POT, g does not reflect a general cognitive ability. Instead, "g" is the result of multiple domain-general executive attention processes and multiple domain-specific processes that are…

One of the newest theories to gain widespread interest is authentic leadership. Part of the rationale for developing a model and subsequent instrument to measure authentic leadership was a concern that the more popular theory, the full range model of leadership and its instrument, the Multifactor Leadership Questionnaire (MLQ) (Bass & Avolio,…

This paper presents a study of correlation between subjects of Diploma in Electrical Engineering (Electronics/Power) at Universiti Teknologi MARA(UiTM) Cawangan Terengganu using Artificial Neural Network (ANN). The analysis was done to see the effect of mathematical subjects (Pre-calculus and Calculus 1) and core subject (Electric Circuit 1) on…