Previous research has found lexical access to be related to both categorization processes, whereby concepts are grouped into different types of categories such as taxonomic, experimental and ad hoc; and to semantic fluency, which is concerned with an individual's ability to produce words related to a specific category. However, studies analyzing…

In the current study, we compare propensity score (PS) matching methods for data with a cross-classified structure, where each individual is clustered within more than one group, but the groups are not hierarchically organized. Through a Monte Carlo simulation study, we compared sequential cluster matching (SCM), preferential within cluster…

Previous work has demonstrated similarities and differences between aerial and terrestrial image viewing. Aerial scene categorization, a pivotal visual processing task for gathering geoinformation, heavily depends on rotation-invariant information. Aerial image-centered research has revealed effects of low-level features on performance of various…

Email filters classify new messages as either spam or not spam based on word frequency, syntax, and metadata. A "classifier" is an algorithm that maps input data into categories based on distinguishing characteristics, or "features." Features can be raw data or attributes derived from that data. "Feature engineering"…

Common depictions of the simple view of reading (SVR), in both research and practice, describe reading comprehension difficulties by using the dichotomous variables of "poor" and "good" for each of its three constructs. But these fail to accurately capture the role the product of the two subcomponents of word recognition and…

Background: Classification systems in healthcare support shared understanding of conditions for clinical communication, service monitoring and development, and research. Children born with cleft palate with or without cleft lip (CP+/-L) are at high risk of developing cleft-related speech sound disorder (SSD). The way cleft-related SSD is…

Currently, the prevalence of autism spectrum disorder (henceforth "autism") is 1 in 36, an increasing trend from previous estimates. In 2015, the United States adopted a new version (International Classification of Diseases, 10th Revision) of the World Health Organization coding system, a standard for classifying medical conditions. Our…

This study explored and compared metaphorical perceptions of "Innovative Education" among 100 in-service teachers from Turkey and South Africa during the 2020-2021 academic year. A phenomenological research design was adopted for this qualitative investigation. Teachers accessed an online platform to complete the open-ended prompt:…

Given decision-makers often prioritize causal research that identifies the impact of treatments on the people they serve, a key question in education research is, "Does it work?". Today, however, researchers are paying increasing attention to successive questions that are equally important from a practical standpoint--not only does it…

In comparative VET research, a model developed from the perspective of comparative politics, the so-called 'skill formation systems typology' developed by Busemeyer and Trampusch, dominates the discourse. However, models to compare VET systems often rely on a narrow set of assumptions and fail to account for their complexity. We therefore review…

This article reviews the origins and use of the terms quasi-experiment and natural experiment. It demonstrates how the terms conflate whether variation in the independent variable of interest falls short of random with whether researchers find, rather than intervene to create, that variation. Using the lens of assignment--the process driving…

When tutoring students it is useful to be able to predict whether they are succeeding as early as possible. This paper compares multiple methods for predicting from sequential interaction data whether a student is on a successful path. Predicting students' future performance and intervening has shown promise in improving learner outcomes and…

Purpose: This research employs machine learning and mediation analysis, along with path analysis, to investigate the correlations between factors such as body mass index (BMI) and the occurrence of diabetes and heart disease among the Indian population. The objective is to enhance models that are specifically designed to accommodate lifestyles,…

Research and policy reports estimate that 10%-40% of U.S. children and adolescents currently have or very recently have had at least one significant mental health condition. Students who exhibit substantial behavior and emotional problems in school often show less severe problems when younger. Screening for less severe problems at younger ages can…

The business of pedagogy, edu-business, has grown into a colossal global industry. As the phenomenon of marketisation is also intertwined with academic communities and actively contributes to the formulation of institutional culture, it is essential to examine the perceptions and understandings of future teachers and education experts regarding…