Emotions are one of the important factors guiding our behaviors. People often make decisions by being influenced by their emotions throughout their lives. Therefore, it is important to recognize and learn to control our emotions. There are different groups of individuals with disabilities, and the swimming training of each group with disabilities…

Willingness to communicate (WTC), a recent affective construct of SLA research, has experienced a paradigm shift regarding its nature. Current WTC research tends to define it as a dynamic and context-bound structure rather being in a linear and static disposition. New conceptualization is based on Complex Dynamic System (CDS) theory. This theory…

This study was conducted with the parents of 30 children aged between 7 and 15 years with a mean age of 9.47 who were officially diagnosed as gifted individuals. Parents' views on recognizing and training gifted individuals in early childhood were examined. It is aimed to determine the characteristics of gifted individuals in early childhood and…

Propensity score methods account for selection bias in observational studies. However, the consistency of the propensity score estimators strongly depends on a correct specification of the propensity score model. Logistic regression and, with increasing popularity, machine learning tools are used to estimate propensity scores. We introduce a…

In this article, we demonstrate the potential of machine learning approaches as inductive analytic tools for expanding our current evidence base for policy making and practice that affects people with intellectual and developmental disabilities (IDD). Using data from the National Core Indicators In-Person Survey (NCI-IPS), a nationally validated…

In a national study of employees across industries (N = 14,645), we examined the role of supervisor emotionally intelligent behavior for employee opportunity to grow, their affect at work, and creativity/innovation at work. Employees reported on their supervisors' emotionally intelligent behavior (perceiving, using, understanding, and managing…

This study utilized confirmatory factor analyses to examine the latent factor structure of the Wechsler Intelligence Scale for Children--Fourth Edition, Italian adaptation (WISC-IV Italian) standardization sample. One through five, oblique first-order factor models and higher-order as well as bifactor models were examined and compared using CFA.…

When text datasets are very large, manually coding line by line becomes impractical. As a result, researchers sometimes try to use machine learning algorithms to automatically code text data. One of the most popular algorithms is topic modeling. For a given text dataset, a topic model provides probability distributions of words for a set of…

What will high school education look like in twenty years? High school students are educated today to take their places in a knowledge economy. But the knowledge economy, based on the assumption that information is a scarce and precious commodity, is giving way to an economy in which information is ubiquitous, digital, and machine-generated. In…

There has been great progress towards Reinforcement Learning (RL) approaches that can achieve expert performance across a wide range of domains. However, researchers have not yet applied these models to learn expert models for educationally relevant tasks, such as those taught within tutoring systems and educational games. In this paper we explore…

Studying for entrance examinations can be a distressing period for numerous students. Consequently, many students decide to attend cram schools to assist them in preparing for these exams. For such schools and for all educational institutes, it is necessary to obtain the best tools to provide the highest quality of learning and guidance.…

The purpose of this study was to understand how the SLI process is perceived by faculty, department chairpersons, and the building principals as an evaluation instrument to address professional needs and expectations, such as communication, relationship-building, and support for professional growth/development. The participants in the SLI process…

Global scientific research consistently demonstrates that human behavior has a direct impact on the health of the environment. Climate change, habitat loss and ocean acidification have all been linked to lifestyle choices such as a lack of recycling and overuse of plastics. Scientists and psychologists alike argue conservation efforts must center…

This phenomenological research study examined the impact of grit and emotional intelligence on the leadership of Black women presidents of higher education institutions. Black Feminist Thought and Self-Efficacy Theory were used to draw conclusions from the participant data. The participant (N = 4) interviews explained the leadership impact of grit…

Industries worldwide have adopted Artificial Intelligence's (AI) Machine Learning (ML) cognitive business functions to gain performance, productivity, competitive advantage, and economic prosperity. World Economic Forum (2020) reported that ML is on top of technology adoption. In the light of ML redefining management functions, not much is known…