The aim of the present study was to test environmental and cognitive variables as possible cross-domain predictors of early literacy and numeracy skills. One hundred forty-eight preschool children (mean age = 64.36 months ± 3.33) were enrolled in the study. The battery included a home literacy and home numeracy questionnaire, measures and…

Background: Interpreting cognitive assessment results for individuals from indigenous communities can be complex. Factors such as culture, language, and education may influence results. Although there is research regarding the cognitive assessment of typically functioning individuals from indigenous communities there is limited information on…

In recent years, the emphasis on computational thinking (CT) has intensified as an effect of accelerated digitalisation. While most researchers are concentrating on defining CT and developing tools for its instruction and assessment, we focus on the characteristics of computational thinking problems (CTPs) -- activities requiring CT to be…

Australian children aged 6-9 years (N = 120, 71 females; data collected in 2021-2022) were tasked with remembering the locations of 1, 3, 5, and 7 targets hidden under 25 cups on different trials. In the critical test phase, children were provided with a limited number of tokens to allocate across trials, which they could use to mark target…

This paper extends the scholarship on attainment grouping by focusing on the policy initiatives of streaming and subject-based banding (SBB) in Singapore. The study is framed by the concept of pragmatic perfectionism, which refers to the continuous and ideals-oriented drive to improve a system through practical, incremental and paradoxical…

Background: The evidence on the effect of age on the receptive and expressive language skills of individuals with Down syndrome is inconclusive. Recent research highlights the relevance of having tools to detect age-related changes in language skills. Method: Data were collected on 45 adults with Down syndrome. All were assessed with the Peabody…

This study applied the Mixed Rasch Model (MRM) to the listening comprehension section of the International English Language Testing System (IELTS) to detect latent class differential item functioning (DIF) by exploring multiple profiles of second/foreign language listeners. Item responses of 462 examinees to an IELTS listening test were subjected…

The purpose of this study is to examine the mediating role of academic interest and academic aspirations in shaping postgraduate students' innovation abilities. A sample of 847 postgraduate students from the regions of Jiangsu, Zhejiang, and Shanghai was utilised. Structural equation model, employing partial least squares, a second-generation…

Large language models (LLMs) have significantly advanced smart education in the artificial general intelligence era. A promising application lies in the automatic generalization of instructional design for curriculum and learning activities, focusing on two key aspects: 1) customized generation: generating niche-targeted teaching content based on…

Even though successful navigation is vital for survival, individuals vary widely in their navigation skills. Researchers have examined the correlates of such variation using a wide variety of paradigms. However, we know little about the relation among the paradigms used, and their validity for real-world behaviors. In this study, we assessed 94…

Decolonial scholars endeavour to evade the construction of another singularity by rejecting the allure to universalise a single definition of decoloniality and difference, which may claim narratives and praxis that would liberate all peoples but would re-enact other forms of irreflexive violence. For this rationale, we draw on our loci of…

Five-to-six-year-olds' abilities to detect and solve ambiguities in spoken language have been found to be a predictor of their later reading abilities in first-to-third grade. However, the origins of this relationship remain unclear. Success in ambiguity detection may be reflective of overall language attainment, which varies with socioeconomic…

In the age of artificial intelligence (AI), automation, and algorithm-driven decision-making, human roles, skills, and educational priorities are undergoing an unprecedented transformation. As machines become increasingly capable of performing routine, analytical, and even creative tasks, the fundamental question arises: What remains uniquely…

In this study, we seek to contribute to a broader understanding of the processes and contexts that lead to inflated judgments of cognitive ability in human-computer partnerships. We conducted a within-subject experiment design study with 164 college students in order to explore the impact of the search experience on cognitive self-esteem (CSE).…

Autistic youth demonstrate an overestimation of competencies when compared with neurotypical (NT) peers. Research has also shown NT males/boys tend to overestimate their competencies more than NT females/girls. This study assessed sex differences in autistic youths' overestimations on academic self-perception variables. Notably, 127 (70 male)…