This article analyses how Heinz von Foerster's Biological Computer Laboratory (BCL) translated cybernetic concepts into an experimental pedagogy tailored to the interests of the youth of the American intellectual counterculture. The existing research literature assumes that the opening of BCL to the counterculture in the early 1970s was the result…

Creativity lies at the heart of science teaching and learning. However, stereotypically, creativity is more widely associated with the arts than the sciences. In this article, we challenge this perception and demonstrate how to teach for and with creativity in science. With developments in artificial intelligence, the need to foster students'…

The purpose of this paper is to explore the factor structure of the Wechsler Intelligence Scale for Children--Fifth edition (WISC-V). As such, this is the first study that will examine the factor structure of the WISC-V in a non-standardization sample of Black children. Utilizing confirmatory and exploratory factor analytic techniques in AMOS our…

Student modeling is one of the most important processes in adaptive systems. Although learning is individual, a model can be created based on patterns in student behavior. Since a student model can be created for more than one student, the use of machine learning techniques in student modeling is increasing. Artificial neural networks (ANNs),…

The Kaufman Brief Intelligence Test--Second Edition (KBIT-2) is designed to measure verbal and nonverbal abilities in a wide range of individuals from 4 years 0 months to 90 years 11 months of age. This study examines both the advantages of using Mokken Scale Analysis (MSA) in intelligence tests and the hierarchical order of the items in the…

The move from elite to mass systems of higher education has been accompanied by concerns relating to the quality of provision and standards, particularly in relation to the increasing proportion of higher grades awarded to students. Bayesian multilevel models were used to investigate the temporal trend of grade attainment in 101 higher education…

There have been discussions suggesting an ethics committee be established which would oversee humanity's efforts in Artificial Intelligence (AI) and its applications to our society. This concern arises mostly because of the limitations of existing data used for the development of AI algorithms that intrinsically reflect unfair and discriminatory…

Ecological intelligence is a comprehensive understanding that aims to create an awareness regarding how human activities affect ecosystems and to promote preventing unconscious consumption behaviors that would lead to a sustainable life. It enables us to take social, economic and environmental responsibility, also to act cooperatively and…

The purpose of this study was to determine the relationship between interpersonal intelligence and student learning outcomes so that there is an increase and strengthening of student achievement. The method used in this research is field research with a correlational quantitative approach which aims to analyze the relationship between…

Emotions are one of the important factors guiding our behaviors. People often make decisions by being influenced by their emotions throughout their lives. Therefore, it is important to recognize and learn to control our emotions. There are different groups of individuals with disabilities, and the swimming training of each group with disabilities…

Willingness to communicate (WTC), a recent affective construct of SLA research, has experienced a paradigm shift regarding its nature. Current WTC research tends to define it as a dynamic and context-bound structure rather being in a linear and static disposition. New conceptualization is based on Complex Dynamic System (CDS) theory. This theory…

This study was conducted with the parents of 30 children aged between 7 and 15 years with a mean age of 9.47 who were officially diagnosed as gifted individuals. Parents' views on recognizing and training gifted individuals in early childhood were examined. It is aimed to determine the characteristics of gifted individuals in early childhood and…

Propensity score methods account for selection bias in observational studies. However, the consistency of the propensity score estimators strongly depends on a correct specification of the propensity score model. Logistic regression and, with increasing popularity, machine learning tools are used to estimate propensity scores. We introduce a…

In this article, we demonstrate the potential of machine learning approaches as inductive analytic tools for expanding our current evidence base for policy making and practice that affects people with intellectual and developmental disabilities (IDD). Using data from the National Core Indicators In-Person Survey (NCI-IPS), a nationally validated…

In a national study of employees across industries (N = 14,645), we examined the role of supervisor emotionally intelligent behavior for employee opportunity to grow, their affect at work, and creativity/innovation at work. Employees reported on their supervisors' emotionally intelligent behavior (perceiving, using, understanding, and managing…