With the widespread use of visuals in the media and the rapid development of visual technologies, media consumers today increasingly face visual information and visual decision-making. Developing visual literacy is thus crucial to empower people to effectively navigate the visual world. This paper uses two studies to describe the development and…

Psychosocial competencies; such as prosocial behaviors, compliance with authority, attention regulation, independence, and emotional regulation; play a crucial role in child development. Higher levels of these competencies in childhood are linked to fewer behavior problems, while deficits in these competencies can predict future problem behaviors.…

Self-regulated learning (SRL) encompasses cognitive, metacognitive, and motivational learning strategies and is highly relevant for academic achievement. Although students have mostly acquired high-level SRL strategy knowledge by the time they reach college, they often show deficiencies in their application of SRL strategies. In order to…

The PISA assessment 2022 of creative thinking was a moonshot effort that introduced significant advancements over existing creativity tests, including a broad range of domains (written, visual, social, and scientific), implementation in many languages, and sophisticated scoring methods. PISA 2022 demonstrated the general feasibility of assessing…

The purpose of this research is to create a reliable and valid scale to assess AIlessphobia in Education (the fear of being without Artificial Intelligence in education) among university students. In three phases, a sample of 1378 undergraduate students from different faculties at a public university participated in the reliability and validity…

The well-being of the early childhood education (ECE) workforce is of great importance to the field, yet existing measures to capture well-being are varied in conceptual and contextual constructs. There is a need to measure well-being among ECE employees holistically and to be able to compare to other industries. The National Institute for…

Administration of patient-reported outcome measures (PROs), using multidimensional computer adaptive tests (MCATs) has the potential to reduce patient burden, but the efficiency of MCAT depends on the degree to which an individual's responses fit the psychometric properties of the assessment. Assessing patients' symptom burden through the…

This meta-analytic study investigates the impact of online peer assessment on academic achievement in higher education. By synthesizing 20 effect sizes, we provide a comprehensive understanding of how online peer assessment influences student learning outcomes. The findings reveal a statistically significant positive effect (Hedges's g = 0.672),…

The subjective task value (STV) aspect of Expectancy-Value Theory has recently gained significance in achievement motivation research. It posits that students are motivated to engage in a particular task due to its intrinsic value, attainment value, utility value, and perceived cost. More recently, these components have been divided into more…

While mentoring is reported to positively impact professional identity development, sense of belonging, and self-confidence of STEM college students (Atkins et al., 2020), a clear understanding about how identity similarity and differences with mentors can position students with minoritized identities (i.e., students who identified as minoritized…

This study aims to examine the psychometric properties of a scale developed to measure teachers' ability to use artificial intelligence tools in education. The scale was originally proposed as having 33 items across 5 sub-dimensions by Chat GPT-4, an AI system. To establish content validity, the scale form was submitted to expert review. An…

Education policy research aimed at eliminating racism necessitates methodological innovation that fosters both equity-centered approaches and robust empirical analysis of the systemic nature of racism. Most quantitative research in educational psychology omits the racist environment that students in K-12 education exist in (DeCuir-Gunby &…

Anxiety is one of the most prevalent mental health challenges in autistic children, yet there is limited evidence on effective tools to measure treatment outcomes. Previous research with non-autistic children has found that the Child Anxiety Impact Scale, Parent Version achieved good diagnostic accuracy when measuring treatment outcomes and…

Measures of autistic traits are only useful -- for pre-diagnostic screening, exploring individual differences, and gaining personal insight -- if they efficiently and accurately assess autism as currently conceptualised while maintaining psychometric validity across different demographic groups. We recruited 1322 autistic and 1279 non-autistic…

Purpose: This study extends research on one of the most frequently cited school leadership frameworks by examining the psychometric properties of the instrument designed to assess many of the practices included in that framework. Design/methodology/approach: Using data collected from 1,401 teachers the study examined the instrument's measurement…