Although collecting data from multiple informants is highly recommended, methods to model the congruence and incongruence between informants are limited. Bauer and colleagues suggested the trifactor model that decomposes the variances into common factor, informant perspective factors, and item-specific factors. This study extends their work to the…

E-learning environments can store huge amounts of data on the interaction of learners with the content, assessment and discussion. Yet, after the identification of meaningful patterns or learning behaviour in the data, it is necessary to use these patterns to improve learning environments. It is notable that designs to benefit from these patterns…

E-learning is renowned as one of the highly effective modalities of learning. Social learning, in turn, is considered to be of major importance as it promotes collaboration between learners. For properly managing learning resources, recommender systems have been implemented in e-learning to enhance learners' experience. Whilst recommender systems…

To examine reliability and validity of the new Social Motor Function Classification System for Children with Autism Spectrum Disorders (SMFCS-ASD). The SMFCS-ASD reliability was examined on 25 children (62.4 months SD 7.8) with ASD among six physical therapists. The validity study involved 1001 children (57.0 months, SD 9.9) with ASD using the…

Classroom observation is a common approach to teacher evaluation. Yet, concerns about differences in rater judgment are widespread. Despite this concern, few researchers have examined the practical impact of such differences in rater judgments on teachers' judged effectiveness. This study fills that gap. Using data from a large-scale teacher…

The aim of this study was to examine classification accuracy for the expressive language skills of children with autism spectrum disorder (ASD) in terms of object play and imitation scores. A total of 61 children with ASD, who were 2.0-5.11 years old, were included in the study. In order to collect data play and imitation assessment tasks which…

The camp community understands that participation in camp produces a variety of impacts; what is less understood are the causal mechanisms leading to outcomes. In the past, research on the camp experience treated causal mechanisms as monolithic; this commentary argues that a weakness in existing camp research is the assumption that…

As children progress through the elementary grades, they are expected to begin to use attributes of shapes to name and classify them. When listening to children talk about shapes, it becomes clear that the process of learning to reason geometrically is complex. Recognizing the complex nature of students' geometric reasoning, the authors present in…

Solving mathematical (math) word problems (MWP) automatically is a challenging research problem in natural language processing, machine learning, and education (learning) technology domains, which has gained momentum in the recent years. Applications of solving varieties of MWPs can increase the efficacy of teaching-learning systems, such as…

Periodic changes in occupational classifications make it difficult to obtain consistent measures of social class over time, potentially jeopardizing research on class-based trends. The severity of this problem depends, in part, on the measurement strategies used to address those changes. The authors propose that when a sample has been coded partly…

Purpose: There is little known about the state of teacher education programs in this field. The aim of this article is to provide a descriptive analysis of physical education and health education teacher education programs in the United States. Method: Using published curriculums, a census of active undergraduate teacher education programs and a…

The present paper explores approaches to the classification of ethnic identity. In the framework of research on comparative classifications, we analyse the contextual factors that influence classification in Hungarian education. We compared the number of students who self-reported as Roma with the respective number reported by the school heads (as…

The present study aimed to analyze the developmental trajectories of English achievement and exposure time through private education, utilizing univariate and multivariate latent growth curve analysis. This study used a subset of the Gyeonggi Education Panel Study data from 2012 to 2017. The results indicated consistent disparities in the growth…

The purpose of this study was to explore the nature of interactions among second/foreign language (L2) writing subskills. Two types of relationships were investigated: subskill-item and subskill-subskill relationships. To achieve the first purpose, using writing data obtained from the writing essays of 500 English as a foreign language (EFL)…

This systematic literature review investigates the fairness of machine learning algorithms in educational settings, focusing on recent studies and their proposed solutions to address biases. Applications analyzed include student dropout prediction, performance prediction, forum post classification, and recommender systems. We identify common…