The world continues to be plagued by cyber incidents that impact businesses, schools, hospitals, and government institutions. Some organizations have given cybersecurity a line item on the annual budget, while others have created dedicated departments to improve their technical defenses. Executive boards and C-level executives have shifted from an…

Data are an essential factor in the fourth industrial revolution, demanding engineers and scientists to leverage and analyze their potential for significantly improving the efficiency of industrial processes and their control systems. In classical industrial process control systems, the models are constructed using linear data-driven approaches,…

Despite efforts to increase representation among those enrolled, earning degrees, and working in the computing and technology industry, women across races/ethnicities and People of Color more broadly remain underrepresented in the field. Fortunately, extant literature has found that psychosocial factors like computing identity can help broaden…

The purpose of this ex post facto quantitative study was to examine the correlation between the scores of preservice teachers on 240 Tutoring STR practice tests and their scores on the actual STR exam and to explore the extent to which test preparation programs predicted performance on certification exams. In addition, this study compared the…

This study highlights the role and importance of advanced, machine learning-driven predictive models in enhancing the accuracy and timeliness of identifying students at-risk of negative academic outcomes in data-driven Early Warning Systems (EWS). K-12 school districts have, at best, 13 years to prepare students for adulthood and success. They…

Based on the Technology Acceptance Model (TAM) (Davis et al., 1989), this research examines the variables of perceived usefulness and perceived ease of use as predictors of video creation usage after software training. To gain a comprehensive understanding of the technology adoption process, the study also employed the Learning Adoption Trajectory…

The frequency of cyberattacks against governments has increased at an alarming rate and the lack of user awareness and knowledge of cybersecurity has been considered a contributing factor to the increase in cyberattacks and cyberthreats. The purpose of this quantitative experimental study was to explore the role and effectiveness of employee…

This study investigates student perceptions of artificial intelligence (AI). The study analyzed four independent variables -- age, gender, school, and employment -- to predict students' level of readiness to adopt AI within an educational setting. Using an instrument with two constructs, data was collected from a diverse, multicultural group of…

Professionalism is a required curricular component in accredited medical laboratory science (MLS) programs in the United States and is a critical element for career success and optimal patient care. A standardized definition of professionalism in MLS, however, has yet to be established. This poses a challenge to MLS programs when pertaining to…

Augmented reality (AR) is one of the most prominent emerging technologies in the educational environment in the world and especially in the educational system in Saudi Arabia. The Ministry of Education in Saudi Arabia claims to have enabled the use of AR and anticipates it to be utilized for educational purposes in public education, but not all…

Nursing educators are challenged to find strategies that will develop critical thinking and clinical judgment abilities in students. As technology has advanced, the use of virtual simulation platforms has increased in use in nursing courses. This study examined the effect of a pilot virtual simulation intervention on critical thinking and clinical…

Cybersecurity threats confront the United States on a daily basis, making them one of the major national security challenges. One approach to meeting these challenges is to improve user cybersecurity behavior. End user security behavior hinges on end user acceptance and use of the protective information technologies such as anti-virus and…

In the past the turnover rate among teachers had been relatively high, the attention of researchers shifted to factors culminating the high turnover rate among teachers. It was not known to what extent, if any, the predictor variables of mentoring modality and length of employment explained the variance in the criterion variable, teacher turnover…

In recent years, not only has there been a dramatic drop in the number of students enrolling in computer science courses, and attrition from computer science courses continues to be significant. Traditionally, computer programming courses have high failure rates, and as they tend to be core to computer science courses can be a roadblock for many…

The purpose of this study is to identify the best model that explains the relationship between conflicting risk structures and decision quality. Using confirmatory factor analysis and hierarchical regression techniques as statistical methods, the author confirmed that changes in the conflicting risk structures correlated with changes in decision…