Scientific literacy not only involves scientific content relative to each branch of science, as a scientifically literate person is also aware of what science is, as well as how it operates in a broader and complex sense. Therefore, in order to develop and implement successful methodologies in the classroom aiming to improve students' scientific…

Over the past decade, statisticians have developed methods to improve generalizations from nonrandom samples using propensity score methods. While these methods contribute to generalization research, their effectiveness is limited by small sample sizes. Small area estimation is a class of model-based methods that address the imprecision due to…

A simulation study was conducted to investigate the heuristics of the SIBTEST procedure and how it compares with ETS classification guidelines used with the Mantel-Haenszel procedure. Prior heuristics have been used for nearly 25 years, but they are based on a simulation study that was restricted due to computer limitations and that modeled item…

Classification, a fundamental data analytics task, has widespread applications across various academic disciplines, such as marketing, finance, sociology, psychology, education, and public health. Its versatility enables researchers to explore diverse research questions and extract valuable insights from data. Therefore, it is crucial to extend…

Psychomotor skill training has traditionally relied on the physical presence of both teacher and learner for effective demonstrations and feedback, posing challenges for remote and self-directed learning. Technological advancements have given rise to immersive learning environments (ILEs), offering novel solutions for interactive and multimodal…

In this review, approaches to teaching and learning in environmental education were explored at a conceptual level to understand the diversity of pedagogies in the discipline. We applied systems thinking to make conceptual parallels between ecology (physical environment, plant species, traits, plant strategies) and education (environmental…

This study aims to determine the changes in the career barrier (CB) trajectory of South Korean school dropouts over time and to identify the number of groups that can be categorized according to CB trajectory. The study analyzed three years of panel data on school dropouts from the Korean National Youth Policy Institute, which comprises…

Autism spectrum disorder (ASD) and Developmental Coordination Disorder (DCD) are distinct clinical groups with overlapping motor features. We attempted to (1) differentiate children with ASD from those with DCD, and from those typically developing (TD) (ages 8-17; 18 ASD, 16 DCD, 20 TD) using a 5-min coloring game on a smart tablet and (2)…

Purpose: A considerable number of screening and diagnostic tools for autism exist, but variability in these measures presents challenges to data harmonization and the comparability and generalizability of findings. At the same time, there is a movement away from autism symptomatology to stances that capture heterogeneity and appreciate diversity.…

This study proposes a Bayesian method for diagnostic classification models (DCMs) for a partially known Q-matrix setting between exploratory and confirmatory DCMs. This Q-matrix setting is practical and useful because test experts have pre-knowledge of the Q-matrix but cannot readily specify it completely. The proposed method employs priors for…

This study is a contribution to efforts to promote practices for dealing with the difficulties encountered by learners in probabilistic modeling situations. We attempt to elucidate as precisely as possible the types of difficulties that secondary school students face in the process of modeling with probability tools. By referring to a large and…

The current study sought to examine the existence of reading subtypes based on specific accuracy and rate criteria in dyslexia among a non-clinical sample of 120 Arabic-speaking University students and to characterize their reading-related and linguistic skills. For this aim, we relied on a conventional practice in reading disability literature…

Background/purpose: The study examines the perceptions of teachers, school principals, and parents regarding the implementation of a tiered classification for students with learning difficulties (LD), categorizing them into mild, moderate, and severe levels. Materials/methods: Mixed-methods, quantitative, descriptive, and qualitative methodologies…

Teacher gesture recognition aims to identify and interpret teacher gestures within academic settings. It has been applied in domains such as teaching performance evaluation, the optimization of online education, and special needs education. However, the background similarity of teacher gestures, the inter-class similarity, and the intra-class…

Research on neurodevelopmental disorders (NDDs) has led us to refine our theoretical and methodological approaches. We explore whether new deficit clusters in line with the Research Domain Criteria, a novel multifactorial framework, optimally explain known conditions such as ADHD, DLD, or SLD in reading. Following the PRISMA guidelines for…