Mediation analysis is an important statistical tool in many research fields, where the joint significance test is widely utilized for examining mediation effects. Nevertheless, the limitation of this mediation testing method stems from its conservative Type I error, which reduces its statistical power and imposes certain constraints on its…

Although augmented reality has become one of the most commonly used materials that support learning, especially in learning geometric concepts, it is avoided to be used in the lessons due to its complex structure. At that point, artificial intelligence working as a personal assistant in many fields can help us learn to produce our own model with…

This study aimed to determine the relationship between attitude, metacognitive awareness, and mathematics reasoning, as well as investigate the role of metacognitive awareness as a mediator. This study examined data from 378 pre-service teachers in Malaysia. The data were gathered by administering questionnaires and a mathematics reasoning…

Prior research suggests that the effectiveness of retrieval practice may be moderated by response format: overt retrieval (e.g., typing a response) outperforms covert retrieval (e.g., mentally recalling a response) for complex materials like definitions, but both forms of retrieval are equally effective for simple materials like single words.…

This article will present a case study on how game-based learning (GBL) -- a live quiz specifically, was used to support the teaching and learning in a social work practice educator program at a university in London. A GBL platform was used to create a live online quiz which was used as a tool to assess 50 trainee practice educators' (TPEs)…

This study aimed to develop a comprehensive diagnostic tool for assessing upper-secondary school students' understanding of isomers, expanding upon existing two- and three-tier conceptual diagnostic methods. By incorporating 'Confidence Rating Factor' tiers within the answer and reason sections, a four-tier test was designed and developed. This…

School-based, multiple gate mental health screening has been identified as a major component of social, emotional, and behavioral systems of support models, and a promising practice that can be used to address unmet mental health needs of children and adolescents. To better inform implementation of multiple gate screening programs, we completed an…

Purpose: Autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) are conditions that similarly alter cognitive functioning ability and challenge the social interaction, attention, and communication skills of affected individuals. Yet these are distinct neurological conditions that can exhibit diverse characteristics…

In scholarly research, racial categories are typically taken for granted. However, race categories vary over time and geography and reflect the social beliefs of the people who use them. Informed by quantitative critical race theory analysis, we interrogate how race categories align (or not) with 24,000 U.S. higher education students' responses to…

This study examines the impact of teacher metapathy, or teachers' capacity to comprehend and sympathize with students' emotional and cognitive requirements, on the academic outcomes of IELTS applicants, such as total band scores, motivation, and language learning orientation. Ten IELTS teachers from five language training centers and 100 IELTS…

When children are aged around 2 years, many of the early foundations of mathematical skills are developing. Understanding this is important to shed light on theories of mathematical development. Nevertheless, little research has investigated 2-year-olds' early mathematical abilities, with most research focussing on either infants (aged 0-1 years)…

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 paper reports on a set of three recent experiments utilizing large-scale speech models to assess the oral reading fluency (ORF) of students in Ghana. While ORF is a well-established measure of foundational literacy, assessing it typically requires one-on-one sessions between a student and a trained rater, a process that is time-consuming and…

Psychologists are emphasizing the importance of predictive conclusions. Machine learning methods, such as supervised neural networks, have been used in psychological studies as they naturally fit prediction tasks. However, we are concerned about whether neural networks fitted with random datasets (i.e., datasets where there is no relationship…

Purpose: The Language ENvironment Analysis (LENA) technology uses automated speech processing (ASP) algorithms to estimate counts such as total adult words and child vocalizations, which helps understand children's early language environment. This ASP has been validated in North American English and other languages in predominantly monolingual…