Empathy deficits in autism, particularly cognitive empathy, have been a long-held, but much debated assumption. An alternative perspective challenging this deficit model is the 'double empathy problem', proposing that empathy difficulties are bidirectional between autistic and non-autistic people. Despite this view gaining popularity, there has…

Scientific modeling is a vital educational practice that helps students apply scientific knowledge to real-world phenomena. Despite advances in AI, challenges in accurately assessing such models persist, primarily due to the complexity of cognitive constructs and data imbalances in educational settings. This study addresses these challenges by…

This study aims to analyze the content and evaluate the quality of videos about Leopold's Maneuvers on YouTube. The current research is a mixed-method study. The videos scanned by the YouTube using the term "Leopold's Maneuvers." One hundred videos with the highest number of views were selected, and 38 videos. A descriptive form and…

Bilingual children are at risk for gaps in literacy in the societal language compared to monolingual peers. However, most research has focused on reading achievement, and only few studies have investigated spelling abilities, with contradictory findings. Here, we compare Hebrew spelling skill and its predictors in bilingual and monolingual…

For this study, 350 university students in Germany were surveyed to understand how they perceive ChatGPT's educational advantages and challenges. Using a combination of quantitative and qualitative methods, it found out that students tend to see ChatGPT as helpful for academic performance (53.14%), writing (47.14%), and exam preparation (50.00%).…

Purpose: The purpose of this study was to develop and evaluate the initial reliability and validity evidence of the dynamic assessment (DA) of early reading and language as a second-stage screener in kindergarten, the first year of formal schooling. The DA comprises three subtests that capture students' ability to learn letter sounds and blending…

We propose an innovative, effective, and data-agnostic method to train a deep-neural network model with an extremely small training dataset, called VELR (Voting-based Ensemble Learning with Rejection). In educational research and practice, providing valid labels for a sufficient amount of data to be used for supervised learning can be very costly…

In the Iranian culture, do children prefer to trust same-gender adults for learning new information? A sample of 106 three and half- to seven-year-old preschool children participated in two tasks. The testimony task was designed to set the prior accuracy of informants against their gender. To establish prior accuracy, children watched a man and…

The present study examined peer feedback accuracy in synchronous and asynchronous peer feedback conditions. Employing a counterbalanced repeated-measures design, the researchers examined the accuracy of 2327 comments provided by 96 intermediate EFL (English as a Foreign Language) learners in synchronous and asynchronous computer-mediated…

Unfolding models are frequently used to develop scales for measuring attitudes. Recently, unfolding models have been applied to examine rater severity and accuracy within the context of rater-mediated assessments. One of the problems in applying unfolding models to rater-mediated assessments is that the substantive interpretations of the latent…

Social sciences expose many cognitively complex, highly qualified, or fuzzy problems, whose resolution relies primarily on expert judgement rather than automated systems. One of such instances that we study in this work is a reflection analysis in the writings of student teachers. We share a hands-on experience on how these challenges can be…

Programming online judges (POJs) have been increasingly used in CS1 classes, as they allow students to practice and get quick feedback. For instructors, it is a useful tool for creating assignments and exams. However, selecting problems in POJs is time consuming. First, problems are generally not organized based on topics covered in the CS1…

This article provides a conceptual framework for considering both the theoretical and methodological factors that underpin the successful validation of a competency framework. Drawing on educational assessment literature, this article argues that a valid competency framework relates to an interpretive judgement of the credibility of the claims…

Procedural fidelity is defined as the extent to which the independent variable is implemented as prescribed. Research using computerized tasks has shown that fidelity errors involving consequences for behavior can hinder skill acquisition. However, studies examining the effects of these errors once skills have been mastered are lacking. Thus, this…

For estimation of heterogeneity variance T[superscript 2] in meta-analysis of log-odds-ratio, we derive new mean- and median-unbiased point estimators and new interval estimators based on a generalized Q statistic, Q[subscript F], in which the weights depend on only the studies' effective sample sizes. We compare them with familiar estimators…