The transition of traditional classroom teaching to online teaching platforms in English as a foreign or second language context has caused the shift of teachers' motivational factors. The present study aimed to develop a new motivational teaching instrument and provide indication for the scale's validity and reliability of English for Specific…

Most existing solutions to the current replication crisis in science address only the factors stemming from specific poor research practices. We introduce a novel mechanism that leverages the experts' predictive abilities to analyze the root causes of replication failures. It is backed by the principle that the most accurate predictor is the most…

The aim of this study was to develop an instrument for assessing sixth-grade students' number sense skills in fractions and decimals. This study was conducted on 452 sixth graders (10-11 years old) from the western region of Turkey. The construct validity of the number sense test (NST) was examined via exploratory factor analysis (EFA) and…

In this exploratory study, we adapted items from a previously developed measure of job satisfaction, the Measure of Job Satisfaction (MJS), an instrument first developed for use with community nurses in the UK, to create a brief, 15-item instrument (Job Satisfaction--Brief) applicable to practitioners of school psychology from Pennsylvania (N =…

Classroom engagement is a critical factor for evaluating students' learning outcomes and teachers' instructional strategies. Traditional methods for detecting classroom engagement, such as coding and questionnaires, are often limited by delays, subjectivity, and external interference. While some neural network models have been proposed to detect…

In this study, it was aimed to adapt the DigiFuehr 2.0 Scale developed by Claassen et al. (2023) to Turkish and to conduct validity and reliability studies on three groups of participants consisting of teachers. In the study, exploratory and confirmatory factor analyses were performed in line with translation study, linguistic application, and…

The study took a Rasch measurement theory approach to validating the 10-item Digital Literacy Scale (DLS) using the unidimensional rating scale model (RSM). To that end, the study used the data from a sample of online Turkish university students. The study began the Rasch analysis with all 10 items in the scale and, to improve in the local…

Background: Undergraduate engineering students report increased rates of mental health distress. Evidence suggests that these students experience high stress, which can perpetuate mental health challenges. Further, engineering students may engage in help-seeking and self-care activities more rarely than students in other disciplines. We…

Early identification of autism spectrum disorder through cost-effective screening is crucial in low- and middle-income countries. The Child Behavior Checklist 1.5-5, using the Autism Spectrum Problems and Withdrawn Syndrome subscales, has potential as a level 1 autism spectrum disorder screening tool, though its construct validity in low- and…

Computational thinking (CT) is regarded as a valuable skill set for the students of the 21st century, fostering problem-solving skills applicable to academic disciplines and everyday problems. Assessing CT involves evaluating the development of its concepts, practices, and perspectives. However, establishing comprehensive and validated assessments…

Rett syndrome is a severe neurodevelopmental disorder that affects about 1 in 10,000 females. Clinical trials of disease modifying therapies are on the rise, but there are few psychometrically sound caregiver-reported outcome measures available to assess treatment benefit. We report on a new caregiver-reported outcome measure, the Rett Caregiver…

Embodied cognition--the idea that mental states and processes should be understood in relation to one's bodily constitution and interactions with the world--remains a controversial topic within cognitive science. Recently, however, increasing interest in predictive processing theories among proponents and critics of embodiment alike has raised…

Psychologists are emphasizing the importance of predictive conclusions. Machine learning methods, such as supervised neural networks, have been used in psychological studies as they naturally fit prediction tasks. However, we are concerned about whether neural networks fitted with random datasets (i.e., datasets where there is no relationship…

Purpose: The Language ENvironment Analysis (LENA) technology uses automated speech processing (ASP) algorithms to estimate counts such as total adult words and child vocalizations, which helps understand children's early language environment. This ASP has been validated in North American English and other languages in predominantly monolingual…

For medical educators, autoethnography as a research methodology provides a means of active engagement in reflective practice, ranging from teaching and educational innovation to interactions with patients and colleagues. In this way, they may benefit from the systematic reflexivity required, improve their interactions with the people around them,…