Children's math performance is strongly correlated with later life outcomes, but early gaps in math skills are stubbornly difficult to close. It is therefore important to identify student math needs early. Using Grade 1-3 student records from Kentucky public schools, the study finds that typically recommended cut scores for widely used early grade…

Content validity describes the extent to which a measure represents, and is relevant to, the construct it aims to assess. The International Classification of Functioning, Disability and Health and derived Core/Code Sets (Sets) for autism, attention deficit-hyperactivity disorder, cerebral palsy and early developmental delay and disability are…

Checking essays written by students is a very time consuming task. Besides spellings and grammar, they also need to be evaluated on their semantic content such as cohesion, coherence, etc. In this study we focus on one such aspect of semantic content which is the topic of the essay. Putting it formally, given a prompt or essay-statement and an…

This piece responds to the article by Arif Rachmatullah, Soonhye Park, and Minsu Ha "Crossing borders between science and religion: Muslim Indonesian biology teachers' perceptions of teaching the theory of evolution," in which the authors are among the first researchers to explore the views of Indonesian science teachers regarding…

Reporting on a mixed methods study carried out in China, this article explores the impact of an educational initiative some years after delivery. Taking data from a three staged longitudinal study, this paper facilitates debate about the nature of Continuing Professional Development (CPD) delivered in a transnational context. To promote such…

Purpose: Sentence repetition (SR) is believed to be a clinical marker for developmental language disorder (DLD) across many languages. This study explored the potential of a self-designed Mandarin SR task (MSRT) to reflect Mandarin-speaking preschoolers' language ability and to differentiate children with and without DLD in this population.…

Multilevel models are increasingly used in sociology and other social sciences to analyze variation of tie outcomes in egocentrically sampled network data, particularly in studies of social support. Existing research assumes that the personal networks in the data do not overlap (i.e., they do not have actors in common), which makes standard…

Purpose: This study aims to review processes of accreditation for Chilean Universities. Along with cataloguing evolutionary milestones, the study analyses effects at the institutional and program levels. Design/methodology/approach: The study adopts a meta-evaluative approach and is based on secondary information sources, including both…

We evaluated the usefulness of scores from two transdiagnostic scales--the 8-item version of the Avoidance and Fusion Questionnaire for Youth and the second edition of the Avoidance and Action Questionnaire--for estimating symptom severity on two measures of depression and anxiety. Responses from 797 college students, who mostly identified as…

This brief report summarizes the development and psychometric properties of German reading fluency passages as compared to English reading fluency passages for immersion language learners. Results indicated that scores from German language reading fluency passages alone were (a) somewhat less reliable than scores from English publisher-developed…

Spelling is a significant parameter in establishing text quality. This study aims to describe the developmental path of spelling errors in expository texts, argumentative and descriptive--written by Hebrew speaking children from second through fifth grades. Bearing in mind different genre requirements, we aimed to determine whether genre type…

Three-year-old children are seldom the focus in studies about supplemental early literacy instructional support. This study examines 3-year-old children's potential need for additional early literacy support, extending and replicating a previous investigation that identified prekindergarten children (i.e., 4-year-olds) in Head Start classrooms for…

This research explores the use of eXplainable Artificial Intelligence (XAI) in Educational Data Mining (EDM) to improve the performance and explainability of artificial intelligence (AI) and machine learning (ML) models predicting at-risk students. Explainable predictions provide students and educators with more insight into at-risk indicators and…

Social categories allow us to make sense of the social world and generate predictions about novel encounters. Yet, how people use particular social categories varies by culture. The current study examined how social categorization varies across traditionally individualistic and collectivistic societies among young children and adults. Using a…

Students' privacy expectations in university housing have increased, a change that has been reflected in universities shifting from traditional units to increasing numbers of apartments and suites. This study examines privacy and territories in student university housing architecture, using architectural plans of 76 residences, relating the…