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…

In this qualitative case study, principals' perceptions of leading with emotional intelligence in urban school settings were explored. The research was conducted in an urban school district in Ohio. An educational and skilled-based emotional intelligence model was the theoretical basis for the examination of emotional intelligence and leadership.…

Researchers often assess causal effects of educational programs or policies using educational assessment data. This dissertation explores novel methods of estimating causal effects in educational assessment data and is broken into three parts. The first part proposes a regression discontinuity design with an ordinal running variable to assess the…

There are a multitude of different theories on intelligence and achievement. While intelligence theory remains a highly contentious issue, there are commonalties among prominent research based and non-research based theories, particularly the adoption of belief over testable theory by researchers. The embracing of speculative theory exemplifies a…

With the advent of physiological computing systems, new avenues are emerging for the field of learning analytics related to the potential integration of physiological data. To this end, we developed a physiological computing infrastructure to collect physiological data, surveys, and browsing behavior data to capture students' learning journey in…

Forming learners' science concepts and conceptual change entails adaptive epistemic beliefs to support a high degree of interactivity within a coherent knowledge structure. Adaptive epistemic beliefs are characterized by beliefs that knowledge is uncertain and should be justified through experimentation or multiple sources dependent upon the task…

As of April 18, 2021, the coronavirus or COVID-19 virus has affected 219 countries and territories, killed over 3 million people, and infected over 141 million people globally (Pattersson et al., 2021). The purpose of this literature review is to explore how augmented reality (AR) and artificial intelligence (AI) can help to stop the spread of a…