Children's behaviours during bullying episodes are associated with both interpersonal-situational variables (e.g., social status indices) and personal-dispositional variables (e.g., emotional competence). The aim of the present study was to investigate -- in a group of 202 kindergarteners (age range: 3-6 years) -- the relationships between…

This research intended to identify key contextual factors that synergistically influence high- and low-performing students' science outcomes by drawing upon a dynamic model of educational effectiveness. The dataset, the Programme for International Student Assessment (PISA) 2015, consisted of 79,963 science scores for secondary students (49,924…

Artificial Intelligence and its sub-disciplines are becoming increasingly relevant in numerous areas of academia as well as industry and can now be considered a core area of Computer Science. The Higher Education sector are offering more courses in Machine Learning and Artificial Intelligence than ever before. However, there is a lack of research…

This study examines how lower secondary school students understand the circulatory system, using the structure-behavior-function (SBF) framework for conceptual representation. It evaluates the progress of students' understanding after interventions with two different teaching approaches, one using a biology textbook supported by augmented reality…

Currently is necessary to identify own way of cognition and information processing, so called the cognitive style, which is connected with learning style. Contribution contains theoretical information about many typologies of learning styles (e.g.. according to brain hemispheres dominance, intelligence, learning motivation, etc.) and research is…

This research study aimed to explore the effect of secondary school teachers' emotional intelligence on school climate and to calculate the effect among each component of teachers' emotional intelligence on components of school climate. This study was quantitative in nature using a causal-comparative design. The population of study was based in…

The purpose of this research was to determine classification accuracy of the factors affecting the success of students' reading skills based on PISA 2018 data by using Artificial Neural Networks, Decision Trees, K-Nearest Neighbor, and Naive Bayes data mining classification methods and to examine the general characteristics of success groups. In…

Autism Spectrum Disorder (ASD) is a complex heterogeneous clinical entity with many overlaps and comorbidities with other psychiatric and developmental disorders. Adults with ASD lack adequate access to facilities and supports. This article describes the clinical profile of the first 34 patients admitted to Roozbeh adult ASD clinic during a…

This report examines the importance of intentionally and actively targeting protective factors, in addition to risk factors, in an effort to promote healthy development and well-being in youth involved in systems of care. Protective factors are conditions and characteristics of individuals, interpersonal relationships, communities, and the larger…

Modern language learning applications have become 'smarter' and 'intelligent' by including Artificial Intelligence (AI) and Machine Learning (ML) technologies to collect different kinds of data. This data can be used for analysis on a microscopic and/or macroscopic level to provide granulation of knowledge. We analyzed 1,213 French language…

Early interaction is a dynamic, emotional process in which infants influence and are influ­enced by caregivers and peers. This chapter reviews new developments in behavior imag­ing--objective quantification of human action--and computational approaches to the study of early emotional interaction and development. Advances in the automated…

Objective. The objective of this work was to apply the capabilities of augmented reality (AR) to improve how general aviation student pilots learn about weather and learn to make weather-related decisions. Background. A pilot's level of weather experience is a strong indicator of their ability to make safe weather-related decisions. However, the…

Clustering, a prevalent class of machine learning (ML) algorithms used in data mining and pattern-finding--has increasingly helped engineering education researchers and educators see and understand assessment patterns at scale. However, a challenge remains to make ML-enabled educational inferences that are useful and reliable for research or…

The purpose of this exploratory study was to examine factors that may influence diverse class climates and teacher-student relationships (TSRs) with two hundred and five (N=205) elementary school teachers. Participants were asked to respond to surveys regarding their beliefs and perceptions of their emotional and cultural capacities in working…

Objective: We investigated the right Superior Frontal Gyrus (right-SFG) and Anterior Cingulate Cortex (ACC) in children with ADHD and their clinical relevance with Executive Function (EF) and ADHD symptom severity. Methods: About 26 children with ADHD and 24 typically developing children (TDC; 7--16 years) underwent Magnetic Resonance Imaging…