Distinguishing easily confusable categories requires learners to detect their predictive differences. Interleaved sequences -- switching between categories -- help learners to detect such differences. Nonetheless, learners prefer to block -- switching within a category -- to detect commonalities. Across two 2 × 2-factorial experiments, we…

Languages that have complex syllable patterns also share linguistic features with each other. These features can be identified through diachronic paths developed by these syllable patterns this study aimed to show the universality of syllabemes in Kazakh and other languages, focusing on questions like evolution of syllables in the Turkic…

China's grand strategies (i.e., the Belt and Road Initiative and the Guangdong--Hong Kong--Macao Greater Bay Area) have expedited the popularity of full-time degree-bearing study in mainland China. Associated with the exponential growth of inward student populations are proliferating concerns about the capacity of non-majority/non-local students…

This article shares research, an empirical psychological case study, about cognition in higher degree art education. It proposes cognitive curation as a concept and practice that can develop knowledge and learning autonomy in and beyond the academy. Informed by the autoethnographic stories, interviews, and artworks of three academic art educators,…

This study aimed to formulate a course classification process for identifying and classifying courses in the curriculum for physical education teacher education (PETE). The study recruited five experts in physical education (PE), PETE, and pedagogy. The participants were professors at a college in the Northeastern United States. The five…

The current study investigated whether vocabulary relates to phonetic categorization at neural level in early childhood. Electroencephalogram (EEG) responses were collected from 53 Dutch 20-month-old children in a passive oddball paradigm, in which they were presented with two nonwords "giep" [[voiced velar fricative]ip] and…

GRE Aptitude Test scores have been a key criterion for admissions to U.S. graduate programs. However, many universities lifted their standardized testing requirements during the COVID-19 pandemic, and many decided not to reinstate them once the pandemic ended. This change poses additional challenges in evaluating prospective students. In this…

This forum guide was developed to meet the need for common, widely understood, standardized course codes. The purpose of this guide is to introduce the voluntary School Courses for the Exchange of Data (SCED) classification system, including information on the structure of SCED codes, the process for ensuring that SCED remains up to date and…

Usage of complex words causes significant problems not only in reading but in writing as well and eventually leads to poor academic achievement of students, poorer particularly for hearing impaired children. The dual diagnosis of Autism Spectrum Disorder (ASD) and hearing impairment pose additional challenges mainly due to the difficulties that…

This study aimed to predict the culturally responsive teacher roles based on cultural intelligence and self-efficacy using machine learning classification algorithms. The research group consists of 415 teachers from different branches. The Bayes classifier (NaiveBayes), logistic-regression (SMO), lazy-classifier (KStar), meta-classifier…

Test scores are often used to make decisions about examinees, such as in licensure and certification testing, as well as in many educational contexts. In some cases, these decisions are based upon compensatory scores, such as those from multiple sections or components of an exam. Classification accuracy and classification consistency are two…

Administrative data sets can play a key role in informing and influencing education provision. To date, longitudinal analysis of special educational needs (SEN) in Northern Ireland (NI) has not been a visible feature of policy discourse, even though the number of these pupils has increased at a rate that is proportionally higher than the general…

As in any professional field, aspiring video game artists, designers, and developers must acquire the necessary skills and knowledge for a successful career. Higher education institutions offer varying video game Bachelor's degree programs to meet the diverse needs of the industry. Our objective in this study was to explore these curricula to gain…

A study was conducted to implement the use of a standardized effect size and corresponding classification guidelines for polytomous data with the POLYSIBTEST procedure and compare those guidelines with prior recommendations. Two simulation studies were included. The first identifies new unstandardized test heuristics for classifying moderate and…

Methods based on machine learning have become increasingly popular in many areas as they allow models to be fitted in a highly-data driven fashion and often show comparable or even increased performance in comparison to classical methods. However, in the area of educational sciences, the application of machine learning is still quite uncommon.…