Machine learning is a powerful method for predicting the outcomes of interactions with educational software, such as the grade a student is likely to receive. However, a predicted outcome alone provides little insight regarding how a student's experience should be personalized based on that outcome. In this paper, we explore a generalizable…

The purpose of this quantitative correlational study was to determine if principals' emotional intelligence has a relationship to their schools' climate. The problems addressed by this research was that leadership preparation programs do not include training and development in emotional intelligence as a leadership skill. In addition, school…

Multiple Intelligences are various skills and talents possessed by students in solving their learning problems so that students can solve learning problems amazingly. However, the application of Multiple Intelligences-based learning has not been widely applied in schools because not many people know the concepts and privileges of learning. And…

Computing has become an essential part of today's primary and secondary school curricula. In recent years, K-12 computer education has shifted from computer science itself to the broader perspective of computational thinking (CT), which is less about technology than a way of thinking and solving problems--"a fundamental skill for everyone,…

Teaching and learning require an environment of emotional intelligence and social and emotional learning. The problem addressed in this qualitative case study was the lack of emotional intelligence training for online teachers. Those teachers work without face-to-face communication, which can hinder the understanding of emotions, the use of…

Teacher retention in secondary public schools has been an ongoing problem in education for many years. Oftentimes, teachers who are new to the profession stay in teaching for only one to five years and then choose to leave the profession. Teachers have mentioned several reasons for departing their profession including dissatisfaction with salary,…

The purpose of the current study was to explore the relationship between student affairs professionals with job satisfaction, emotional intelligence (EQ), religiosity, and organizational commitment. More specifically, the current study sought to fill a gap in the available literature by studying the professional, not just the profession of student…

When working with multimodal Bayesian posterior distributions, Markov chain Monte Carlo (MCMC) algorithms have difficulty moving between modes, and default variational or mode-based approximate inferences will understate posterior uncertainty. And, even if the most important modes can be found, it is difficult to evaluate their relative weights in…

The objective of this study is to survey existing and emerging post-secondary computing and technology programs and employment trends in Pennsylvania to determine if college graduates are being prepared for careers in artificial intelligence. Due to low enrollment, colleges and universities are continually revising or restructuring their existing…

'Meritocracy' lies at the ideological heart of social policy in Singapore, representing a key guiding principle in policy-makers' visions of a fair, equitable Singapore. Within a Singaporean conception of meritocracy, any individual with talent and hard work can succeed, regardless of their social or economic background. In this chapter, I explore…

This study investigated correlative, factorial, and structural relationships between scores for ability emotional intelligence in the workplace (measured with the Geneva Emotional Competence Test), as well as fluid and crystallized abilities (measured with the Intelligence Structure Battery), carried out by a 188-participant student sample.…

This study examined the identification frameworks, specific models, and assessment practices used by school psychologists to identify students with specific learning disabilities (SLD) in public schools in the United States. We surveyed school psychologist practitioners using an online survey, conducted a review of state regulations addressing…

The prevalence of academic underachievement or learning disabilities in children with autism or ADHD (two groups at increased risk for such problems) has been extensively researched, but little is known about overachievement in these groups. The frequency of overachievement across academic domains compared to nondiscrepant achievement and…

The education of children with disabilities in the regular educational environment has long been an expectation of legislation in many countries. Yet some children with autism spectrum disorder (ASD) are educated outside regular classes. Despite the obvious importance that educational placement holds for any child, there is limited research on how…

The article analyzes the main problems and contradictions in the formation of legal regimes for the regulation of robotics, artificial intelligence and other innovative technologies of our time. The work content shows the unpreparedness of modern legal science and practice to conceptual and legal design, legal and technical development of the…