The RizbA scale combines psychometrics and art theory and enables a measurement of pictorial expression. This study explores its factor structure and a potential gap between theory and empirics. A sample of 275 pictorial works by artists and nonprofessionals was rated by 179 art experts. Three CFA path models were specified: models A and B based…

Cultural variations in affective experiences are observed. Research on positive affect with refined categorizations has been limited. This study examined the Affect Valuation Theory and its measure, the Affect Valuation Index (AVI), using a sample of high school students from rural China (N = 676, M[subscript age] = 16.17 years, SD = 0.94). The…

A short form of the 60-item computer-based orthographic processing assessment (long-form COPA or COPA-LF) was developed. The COPA-LF consists of five skills, including rapid perception, access, differentiation, correction, and arrangement. Thirty items from the COPA-LF were selected for the short-form COPA (COPA-SF) based on cognitive diagnostic…

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),…

This research comprised two studies to examine the psychometric properties of the Generalised Problematic Internet Use Scale-2 (GPIUS-2) and investigate personality profiles of problematic internet use (PIU) in the context of social media from an Adlerian theory perspective. In Study 1 (N = 320), exploratory factor analysis was conducted and four…

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…

Background: School health education promotes health knowledge and skills, yet measurement of teens' health skills is limited. We psychometrically assessed the perceptions of skills enhanced through school health education (PSE-SHE) measure. Methods: Cross-sectional data (n = 471) were collected from teens using Teen and Parent Surveys of Health,…

The field of information security is experiencing growing popularity within Higher Education Institutions (HEIs), reflecting the increasing recognition of its importance in safeguarding sensitive data, and mitigating cyber risks. This shift highlights the critical need for effective security practices within educational environments, where data…

Teachers who demonstrate academic optimism actively design suitable pedagogical approaches, exhibit proficient classroom management skills, and effectively engage students in the learning process. Nevertheless, the current measurement tools used to assess teachers' academic optimism are constructed solely from the teachers' perspective and fail to…

Learning analytics are increasingly used in medical education to analyze data and make decisions about learners' abilities. While there are many potential benefits of using learning analytics to drive improvement in medical education, there are also ethical concerns surrounding how this may affect learners and their patients. We conducted a…

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…

In recent years, the application of explainability techniques to automated essay scoring and automated short-answer grading (ASAG) models, particularly those based on transformer architectures, has gained significant attention. However, the reliability and consistency of these techniques remain underexplored. This study systematically investigates…

The development of generative artificial intelligence (AI) has started a conversation on its possible uses and inherent difficulties in the field of education. It becomes essential to understand the perceptions of pre-service teachers about the integration of this technology into teaching practices as AI models including ChatGPT, Claude, and…

Evaluating students' cognitive understanding of core concepts and identifying learning path aligned with their cognitive developmental patterns are critical for enhancing conceptual mastery in chemistry. This study employed the Rule Space Model to investigate students' cognitive characteristics and learning path in comprehending the conceptual…

Assessing preservice teachers' inclusive classroom management self-efficacy (ICMSE) is critical for effectively implementing classroom management practices. Although the literature provides well-established instruments, many do not cover all domains of ICMSE. Above all, there is a notable absence of instruments assessing this multidimensional…