Although the original long version of the Hewitt Multidimensional Perfectionism Scale (HMPS) has been translated and validated in a Spanish population, no study to date has examined the psychometric properties of a short version of the HMPS with a Spanish-speaking sample. For this reason, the aim of this study is to analyze the psychometric…

Bullying, which includes cyberbullying and face-to-face bullying, is amongst the most pervasive threats to the wellbeing of children and young people. As social environments, schools are at the forefront of managing bullying behaviours. The rapidly changing and complex nature of bullying requires schools to put in place and maintain systems to…

Technology development has triggered digital transformation in various organizations, influencing work processes, communication, and innovation. Digital leadership plays a crucial role in directing and managing this transformation. This research aims to develop a new measurement tool for assessing digital leadership using the Rasch Model for…

After a redesign of our school year structure, our science team developed an introduction to science course focused on teaching science to non-science majors early in their postsecondary studies. The goal of this course was not to prepare students for further pursuit of science degrees; instead, we wanted to equip them with the skills and…

This review explores the significant contributions of Rasch modeling in enhancing classroom assessment practices, particularly in measuring student attitudes. Classroom assessment has evolved from standardized testing to integrative practices that emphasize both academic and affective dimensions of student development. Accurate attitude…

The 2014 "Standards for Educational and Psychological Testing" describe universal design as an approach that offers promise for improving the fairness of educational assessments. As the field reconsiders questions of fairness in assessments, we propose a new framework that addresses the entire assessment lifecycle: universal design of…

This study aims to develop a validated scale to measure the sports moral character (SMC) development of Chinese primary and secondary school learners. The primary and secondary indicators in the scale were based on the structural framework of physical education virtues in the "Physical Education and Health Curriculum Standards for Compulsory…

Open access to novel AI tools offers unprecedented opportunities for human-AI collaboration in writing instruction and assessment. While research on using generative AI tools like ChatGPT in these contexts is emerging, more is needed to understand their effectiveness as Automated Writing Evaluation (AWE) tools. This study explores the potential of…

Unfolding item response theory (IRT) models are important alternatives to dominance IRT models in describing the response processes on self-report tests. Their usage is common in personality measures, since they indicate potential differentiations in test score interpretation. This paper aims to gain a better insight into the structure of trait…

Most biology undergraduates learn about mutations in multiple classrooms throughout their college career. Understanding personalised genome test results, genome editing controversies, and the appearance of new variants of viruses or antibiotic resistant bacteria all require foundational knowledge about mutations. However, the abstract nature of…

Cognitive Abilities Test (CogAT) is one of the most frequently used gifted identification tools. In this meta-analytic study, we investigated empirical evidence of the validity of CogAT, in relation to different types of instruments. After reviewing 1,480 studies, a total of 24 with 33 effect sizes were included in the meta-analysis. According to…

Task-based language assessment represents a major component of task-based language teaching syllabi. Current perspectives emphasise the importance of tasks in the assessment process, suggesting that adherence to influential models of language production during task design yields predictable test outcomes. The current study contends that the…

In recent years, to better face university paths, the first approaches to the labor market, and then the actual university-to-work transition, university students are asked to have broader skills, such as the ability to network, to be involved in career-related issues, and to explore the characteristics of occupations as much as personal ones.…

Although AI transformer models have demonstrated notable capability in automated scoring, it is difficult to examine how and why these models fall short in scoring some responses. This study investigated how transformer models' language processing and quantification processes can be leveraged to enhance the accuracy of automated scoring. Automated…

In an educational setting, an estimate of the difficulty of Multiple-Choice Questions (MCQs), a commonly used strategy to assess learning progress, constitutes very useful information for both teachers and students. Since human assessment is costly from multiple points of view, automatic approaches to MCQ item difficulty estimation are…