This study took a novel approach to understanding the role of language in spatial development by combining approaches from spatial language and gesture research. It analyzed forty-three 4.5- to 6-year-old's speech and gesture production during explanations of reasoning behind performance on Spatial Analogies and Children's Mental Transformation…

In modern university education, quantitative analytical skills seem best acquired through deep learning of complex, multi-faceted problems. Our quasi-experimental design tested whether student achievement in an immersive classroom case study might affect subsequent academic performance, presumably reflecting deeper learning of fundamental…

Studies of stress and coping effects on college performance have yielded inconsistent results, which might be clarified by stricter adherence to stress theories. Here, university students (n = 1212) were surveyed during their first year, said to be the most stressful. They completed measures of stress overload (the pathogenic state identified by…

Recent theory and evidence support an integrated affective-cognitive model of adolescent depressive symptoms in which temperament predicts the use of maladaptive cognitive emotion regulation (ER) strategies which, in turn, predict depressive symptoms. We concurrently and prospectively investigated whether two cognitive ER strategies (dampening and…

An introductory sophomore-level chemical engineering course was redesigned, and this redesign included cyber-assisted learning through online videos, team formation, and team evaluation software. We compared the traditional 2018 course (n = 48) with the redesigned 2019 course (n = 67) on student persistence (DFW rates), motivation, and course…

Words are seldom read in isolation. Predicting or anticipating upcoming words in a text, based on the context in which they are read, is an important aspect of efficient language processing. In sentence reading, words with congruent preceding context have been shown to be processed faster than words read in neutral or incongruous contexts. The…

The present study investigated whether and how learning-specific inner speech predicted students' learning strategy and academic performance. Frequencies of inner speech use in specific learning settings were assessed. Four dimensions of inner speech including self-criticism, self-reinforcement, self-management, and social assessment were…

The aim of this study was to examine preservice physical education teachers' perceived competence in selecting teaching techniques according to certain variables. The research was designed as a descriptive study using a screening model. The study universe consisted of a total of 348 preservice physical education teachers studying in different…

The authors examined whether perceptions of self-esteem, coping self-efficacy, and emotional intelligence could significantly predict the presence of depressive symptomatology among a sample of 146 Hispanic first-year college students (53 men, 93 women). The results of a sequential multiple linear regression analysis indicated the 3 predictor…

This quantitative research aims to analyze the design and implementation of the Web Application on the educational process of the Linear Function (WALF) considering the TPACK (Technological Pedagogical and Content Knowledge) model and data science. The sample consists of 45 students who studied the Basic Math course at a Mexican university during…

Social workers are constantly predicting the future. In England and Wales there is a legal duty on them to do so, as the 1989 Children Act requires workers to assess not only whether children "have" suffered significant harm, but also whether they are "likely" to do so. Similarly, in Northern Ireland social workers are required…

Objective: The purpose of the study was to investigate whether peer support and demographic characteristics predicted food security among deaf college students. Participants: The sample included 166 deaf college students at Gallaudet University. Methods: Participants completed a bilingual online survey in American Sign Language (ASL) and English.…

Prediction of student performance is one of the most important subjects of educational data mining. Artificial neural networks are seen to be an effective tool in predicting student performance in e-learning environments. In the studies carried out with artificial neural networks, performance predictions based on student scores are generally made,…

The main purpose of this study is to determine the relationship of the school administrators' leadership styles with resistance to change and organizational dissent based on teachers' perceptions, and also to reveal whether the leadership styles of the administrators predict resistance to change and organizational dissent. After defining…

Predicting student success in a data science degree program is a challenging task due to the interdisciplinary nature of the field, the diverse backgrounds of the students, and an incomplete understanding of the precise skills that are most critical to success. In this study, the applicant's future academic performance in a Master of Data Science…