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…

Use of face masks is one of the measures adopted by the general community to stop the transmission of disease during this ongoing COVID-19 pandemic. This wide use of face masks has indeed been shown to disrupt day-to-day face recognition. People with autism spectrum disorder (ASD) often have predisposed impairment in face recognition and are…

Intelligent Tutoring Systems (ITSs) are educational systems that reflect knowledge using artificial intelligence implements. In this paper, we give an outline of the Programming-Tutor architectural design with the core implements on user interaction. This pilot proposal is for designing a model domain of a subset in the computer programming…

Digital technologies are an integral facet of human existence, changing how humans find information, the way humans communicate and even human behavior. This transition applies to education as well, with the continued growth of artificial intelligence (AI) reshaping the higher education landscape at two- and four-year institutions alike. AI is…

The goal of this study was to expand current attachment models by validating a three-component model of the supervision partnership conceptualization of attachment (accessibility and availability of attachment figures, willingness to communicate, and mutual recognition of other's rights in decision-making). The model was tested by examining…

The overall goal of our work is to disrupt pervasive narratives and misplaced assessments of what defines scientific brilliance, specifically in the introductory chemistry classroom. The traditional design of science, technology, education, and math (STEM) courses perpetuates the narrow view that intelligence is characterized by innate talent,…

The aim of this study was to determine the predispositions of the studied groups of students to work in the IT sector. The basis for predisposition assessment was their voluntary self-assessment of certain preferences, which are related to the theory of multiple intelligences of Professor Gardner. The study was conducted on a reference group of IT…

In the current study, we investigated the role of vocabulary knowledge in the relation between working memory (WM) and reading comprehension, in a sample of 55 typically developing 8-year-old Italian children. The role of WM in comprehension is well-established, as both involve similar processes for successful task performance (i.e., active…

This meta-analysis reviews 79 studies (N = 46,605) that examined the existence of gender difference on intelligence in school-aged children. To do so, we limited the literature search to works that assessed the construct of intelligence through the Wechsler Intelligence Scales for Children (WISC) batteries, evaluating eventual gender differences…

Purpose: The purpose of this study is to evaluate the sustainability of the proposed mobile learning framework for higher education. Most sustainability evaluation studies use quantitative and qualitative methods with statistical approaches. Sometimes, in previous studies, machine learning models were utilized conventionally.…