Diagnostic classification models (DCMs) have grown in popularity as stakeholders increasingly desire actionable information related to students' skill competencies. Longitudinal DCMs offer a psychometric framework for providing estimates of students' proficiency status transitions over time. For both cross-sectional and longitudinal DCMs, it is…

Introduction: Running speech sampling is an essential component of a paediatric voice evaluation, in that it should provide the examiner with a representative vocal sample of the child's everyday voice use outside of the clinic setting. Current speech sampling practices, consisting of reading tasks, informal conversation sampling and the voice…

Validation is needed for any newly developed model or framework because it requires several real-life applications. The investment made into e-learning in medical education is daunting, as is the expectation for a positive return on investment. The medical education domain requires data-wise implementation of e-learning as the debate continues…

Scientific modeling is a vital educational practice that helps students apply scientific knowledge to real-world phenomena. Despite advances in AI, challenges in accurately assessing such models persist, primarily due to the complexity of cognitive constructs and data imbalances in educational settings. This study addresses these challenges by…

How can we test whether state-of-the-art generative models, such as Blender and GPT-3, are good AI teachers, capable of replying to a student in an educational dialogue? Designing an AI teacher test is challenging: although evaluation methods are much-needed, there is no off-the-shelf solution to measuring pedagogical ability. This paper reports…

A strong predictor of children's language is performance on non-word repetition (NWR) tasks. However, the basis of this relationship remains unknown. Some suggest that NWR tasks measure phonological working memory, which then affects language growth. Others argue that children's knowledge of language/language experience affects NWR performance. A…

The Cross-Classified Mixed Effects Model (CCMEM) has been demonstrated to be a flexible framework for evaluating reliability by measurement specialists. Reliability can be estimated based on the variance components of the test scores. Built upon their accomplishment, this study extends the CCMEM to be used for evaluating validity evidence.…

The research's aim is to assess the services offered by Greek public secondary education schools, with the intention of identifying any discrepancies between students' expectations and their perceptions of the final services provided. The gaps discovered indicate that the school's educational services are not meeting student expectations in the…

To identify the dominant cultural models among parents transmitting faith to their children, we find few methodological guidelines to guide coding and analysis of semi-structured interviews. We thus developed a three-phase procedure for our research team. Phase-one follows Campbell et al. by unitizing on meanings rather than words/pages, including…

This study explores the use of Large Language Models (LLMs), specifically GPT-4, in analysing classroom dialogue--a key task for teaching diagnosis and quality improvement. Traditional qualitative methods are both knowledge- and labour-intensive. This research investigates the potential of LLMs to streamline and enhance this process. Using…

The challenge of accurately assessing critical thinking in physics education, particularly on topics like work and energy, remains a key issue for educators. The current study aims to address this challenge by exploring students' critical thinking abilities using two-tier test data analyzed through the Rasch model. Data were collected from…

Owing to the extreme importance of evaluating the credibility of existing scientific websites, the present study sets out to measure a proposed model concerning the views and preferences of university students in Iran, when evaluating information. Data were collected by administrating a highly validated questionnaire among 487 students in ten top…

Rater-mediated assessments are a common methodology for measuring persons, investigating rater behavior, and/or defining latent constructs. The purpose of this article is to provide a pedagogical framework for examining rater variability in the context of rater-mediated assessments using three distinct models. The first model is the observation…

This article explores the development and evaluation of the Building Leadership Team Assessment Tool (BLT-AT), designed to measure Professional Learning Communities' (PLCs') use of effective school improvement practices. The BLT-AT is grounded in Ohio's inclusive instructional leadership model, which emphasizes the improvement of teaching and…

This study explores the role of artificial intelligence (AI) in K-12 student assessment practices, focusing on educators' use of AI tools. Through content analysis of active Facebook groups dedicated to AI in education, the authors examined how educators integrate AI into assessment across various grade levels and subjects. Using the Technology…