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…

The explosion of Open Educational Resources (OERs) in the recent years creates the demand for scalable, automatic approaches to process and evaluate OERs, with the end goal of identifying and recommending the most suitable educational materials for learners. We focus on building models to find the characteristics and features involved in…

The purpose of this study was to examine how student perceptions of mindful teaching are associated with changes in students' mindfulness, self-compassion, and compassion for others across a single high school year. We hypothesized two pathways of effect: a direct path whereby when high school students perceive their teachers as demonstrating…

Learning probabilistic classification and prediction models that generate accurate probabilities is essential in many prediction and decision-making tasks in machine learning and data mining. One way to achieve this goal is to post-process the output of classification models to obtain more accurate probabilities. These post-processing methods are…

This paper presents an extension of the Additive Factors Model to predict learning for students by accounting for aspects of collaboration. The results indicate that student performance is predicted more accurately when the model includes parameters that capture influences of working collaboratively. [This paper was published in: "Proceedings…

A multi-attribute decision-making (MADM) approach was proposed in this study as a prediction method that differs from the conventional production and design methods for a product. When a client has different dimensional requirements, this approach can quickly provide a company with design decisions for each product. The production factors of a…

One experiment determined the relationship between renewed associative strength and attention. Following cue1-outcome pairings in Context A, cue1 was extinguished in Context B while cue2 was conditioned. On test cue2 was chosen as a predictor of the outcome in Context B. Both cues were chosen equally often as predictors in Context A. Consistent…

To understand complex disciplinary texts, students need to possess a rich store of background knowledge. But what happens if students don't have that knowledge? In this article, Doug Buehl explores frontloading strategies that can bridge the gap between what students know and what they need to know to comprehend a disciplinary text. He outlines…