This article provides a suggestion for encouraging an appropriate level of participation from all students in a small class or tutorial discussion.

This study examined school principals' instructional leadership as a predictor of teachers' motivation. The sample included 306 elementary school teachers. The study took place in the western Black Sea region of Turkey. Data collection tools included two instruments: the Instructional Leadership Scale (ILS) and the Teacher Motivation Scale (TMS).…

The aim of the current study was to investigate the statistical literacy of seventh grade students regarding the concepts of average and variation on bar and line graphs presented in alternative real-life contexts. To this end, the statistical literacy levels of the seventh grade students were initially determined. Subsequently, definitions,…

This paper presents a novel method for introductory teaching of the sample linear correlation coefficient from a bivariate dataset. Linear correlation is typically included in curriculums at the secondary and introductory tertiary levels of education. The method discussed herein can be used by educators in elementary courses at either of these…

Advanced practice nurses (APNs) have a responsibility to translate research evidence into their clinical practice (i.e., evidence-based practice) for the promotion of patient and population health. A precursor to the adoption of evidence-based practice is APNs having sufficient knowledge and understanding of biostatistics. To promote APN students'…

With reference to the framework in The International Data Science in Schools Project, this paper aims to discuss the course design, teaching and learning, and assessment of a foundation course offered in an undergraduate statistics and data science programme. SAS® University Edition (a free software package) is adopted in this foundation course.…

Policymakers and institutional leaders in higher education too often make decisions based on descriptive data analyses or even anecdote when better analysis options could produce more nuanced and more valuable results. Employing the setting of higher education program evaluation at a midwestern regional public university, for this study we…

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 Karlson-Holm-Breen (KHB) method has rapidly become popular as a way of separating the impact of confounding from rescaling when comparing conditional and unconditional parameter estimates in nonlinear probability models such as the logit and probit. In this note, we show that the same estimates can be obtained in a somewhat different way to…

This study provides evidence about factors that facilitate the development of computational thinking (CT) in Costa Rican elementary school students, including the description of the contribution of the LIE++ proposal that addresses CT knowledge and practices through programming and physical computing projects. A quasi-experimental design was used…

Technology transfer to classes has become very important for teachers, regardless of their field. The purpose of this study is to determine how pre-service teachers with high and low level of technological selfefficacy beliefs are predicted by the independent variables. These variables are attitude towards technology, attitude towards…

The focus of this paper is learning the language of data science and statistics through the use of simple classroom activities. Many terms in statistics are known to be lexically ambiguous, having one meaning in general English conversation and another, more technical, meaning in statistical English. The main aim is to investigate whether the…

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…

In recent years, considerable attention has been given to how the physical structure of active learning classrooms affects academic performance, but little is known about how these spaces influence learners' personal capability beliefs. The purpose of this study was to investigate how students' beliefs and performance varied in two physical…

Classification measures and entropy variants can be used as indicators of model fit for logistic regression. These measures rely on a cut-point, "c," to determine predicted group membership. While recommendations exist for determining the location of the cut-point, these methods are primarily anecdotal. The current study used Monte Carlo…