Veterans may seek a second job after retirement or separation from military service. Some choose to seek employment in the field of education and earn the appropriate credentials to do so. If so, they bring motivation, leadership skills, and emotional intelligence (EI) to the classroom. While EI might be a complement to education, it is essential…

Many Library and Information Science (LIS) training programs are gradually expanding their curricula to include computational data science courses such as supervised and unsupervised machine learning. These programs focus on developing both "classic" information science competencies as well as core data science competencies among their…

While the discussion on generative artificial intelligence, such as ChatGPT, is making waves in academia and the popular press, there is a need for more insight into the use of ChatGPT among students and the potential harmful or beneficial consequences associated with its usage. Using samples from two studies, the current research examined the…

Brazil's education system lags behind international standards, with two-fifths of students scoring below the minimum level of proficiency in mathematics, science, and reading. Thus, this study combined machine learning with traditional statistics to identify the most important predictors and to interpret their effects on proficiency in the PISA…

Teaching remains a profession that is associated with certain health risks. Teachers complain of psychosomatic experiences such as exhaustion, fatigue, headache, and tension more than people in other professions. High levels of stress amongst teachers also pose a risk for students, as this is associated with poorer teaching quality and lower…

The performance history of 277 students in clothing and textile from two tertiary institutions in southern Nigeria was studied by artificial neural networks (ANN) and analysis of variance (ANOVA) in terms of institution, gender, ordinary level (O-level) qualification, marital status, and age. The study was guided by five research questions and…

This study aimed to investigate the impact of artificial intelligence (AI) anxiety on multi-dimensional 21st-century skills and lifelong learning among undergraduates. A quantitative method using a correlational research model was used to examine the relationships between AI anxiety, 21st-century skills, and lifelong learning levels, considering…

The aim of this study was to analyze the joint, relative, and unique predictive value of students' prior knowledge of mathematics (knowledge of fractions and ability to divide natural numbers) and general cognitive ability (fluid intelligence and working memory) upon general mathematics achievement in the last year of primary school. Seventy-five…

The purpose of this quantitative, predictive correlational study was to investigate the relationship between leader self-efficacy, emotional intelligence, years of experience, and transformational leadership practices of physician assistant (PA) program directors. This study is important in providing a greater understanding of the internal…

Completion of remedial mathematics has been identified as one of the keys to college success. However, completion rates in remedial mathematics have been low and are of much debate across America. This study leverages machine learning techniques in trying to predict and understand completion rates in remedial mathematics. The purpose of this study…

As online learning has been widely adopted in higher education in recent years, artificial intelligence (AI) has brought new ways for improving instruction and learning in online higher education. However, there is a lack of literature reviews that focuses on the functions, effects, and implications of applying AI in the online higher education…

This study builds on the increasing relevance of technology integration in higher education, specifically in artificial intelligence (AI) usage in educational contexts. Background research highlights the limited exploration of AI training in educational programs, particularly within Latin America. AI has become increasingly pivotal in educational…

Background/purpose: Middle school is a critical stage for shaping students' academic paths, but traditional orientation methods often fail to predict suitable trajectories, leading to mismatches that impede success. This study aims to develop a proactive, data-driven framework to forecast academic orientation for middle school students, enhancing…

The COVID-19 outbreak necessitated a rapid transition to eLearning in higher education institutions worldwide, including Uganda, where infrastructural and digital literacy challenges compounded this shift. Predicting student satisfaction with eLearning systems helps institutions evaluate how well these platforms are working, assess their future…

Critical thinking, intelligence, and language aptitude are three cognitive factors, each, in its own way, influencing our lives. They are important in successful reasoning, problem-solving, and foreign language learning, and thus are worth studying regarding their influence on individuals' language-related skills, in particular, foreign…