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…

Although absolute value is of interest to mathematics teaching researchers, since many students face problems with it, there does not seem to be an integrated record of students' errors. The present study attempts to conduct a systematic review to identify and categorize errors and misconceptions of secondary school students aged 12-18 concerning…

This study investigates the prevalence and distribution of special educational needs and disabilities (SEND) among left-behind (LB) and non-left-behind (non-LB) children in rural China, adopting the UK's broader SEND framework to address the limitations of China's current classification system. Using quantitative data collected from 17 primary…

Understanding the science identity of university students who have completed the national science curriculum is essential, as it provides insight into how formal education shapes their relationship with science. This study examines the forms of science identity among university students, moving beyond insider-oriented definitions that hinge solely…

Colleges are important providers of vocational education and training and in some countries they are the major provider. Although the international literature on colleges has grown considerably in the past two decades, it still consists primarily of qualitative descriptions of college sectors in different countries. Quantitative studies of…

The current study tested changes in modern/contemporary art valuation among students ages 6-15. Participants rated abstract paintings and conceptual works (and two control categories--traditional Western figurative paintings and everyday objects) on the dimensions of liking and art classification. As we hypothesized, modern/contemporary art was…

Background: In the past few years there has been a growing interest in the employment of verbal productions as digital biomarkers, namely objective, quantifiable behavioural data that can be collected and measured by means of digital devices, allowing for a low-cost pathology detection, classification and monitoring. Numerous research papers have…

A decision consistency (DC) index is an estimate of the consistency of a classification decision on an exam. More specifically, DC estimates the percentage of examinees that would have the same classification decision on an exam if they were to retake the same or a parallel form of the exam again without memory of taking the exam the first time.…

Social desirability bias (SDB) is a common threat to the validity of conclusions from responses to a scale or survey. There is a wide range of person-fit statistics in the literature that can be employed to detect SDB. In addition, machine learning classifiers, such as logistic regression and random forest, have the potential to distinguish…

In every culture and era, education is considered the most fundamental reality and rule that societies prioritize and deem essential. Throughout the process spanning thousands of years, from the emergence of writing to the present day, education has undergone various forms and formats of change. Education has been a continuous guide for shaping,…

In latent growth curve modeling (LGCM), overall fit indices have garnered increased disputation for model selection, and model fit evaluation based on the mean structure has becoming popularity. The present study developed a versatile fit index, named Weighted Root Mean Squared Errors (WRMSE), based on individual case residuals (ICRs) with the aim…