Sleep problems are common in Rett syndrome and other neurogenetic syndromes. Actigraphy is a cost-effective, objective method for measuring sleep. Current guidelines require caregiver-reported bed and wake times to facilitate actigraphy data scoring. The current study examined missingness and consistency of caregiver-reported bed and wake times…

Automatic item generation may supply many items instantly and efficiently to assessment and learning environments. Yet, the evaluation of item quality persists to be a bottleneck for deploying generated items in learning and assessment settings. In this study, we investigated the utility of using large-language models, specifically Llama 3-8B, for…

This article presents a brief overview of the state-of-the-art in large language models (LLMs) like ChatGPT and discusses the difficulties that these technologies create for educators with regard to assessment. Making use of the 'arms race' metaphor, this article argues that there are no simple solutions to the 'AI problem'. Rather, this author…

The study used phenomenology to examine teacher candidates' metaphorical perceptions for measurement and evaluation practices in distance education. 210 teacher candidates at a foundation university in Istanbul were included in the study group. Researchers collected data using a three-part form. The first part gathered demographic information, the…

One potentially fruitful application for human capital analytics is to support policies and practices that might reduce undesirable teacher turnover. Teacher turnover can be harmful to student achievement and faculty cohesiveness and can exacerbate teacher shortages. This article describes an attempt to build a human capital analytics tool to help…

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…

This study examined how students utilized metacognition while solving physics problems. A case study design was implemented, involving 30 11th-grade students. Data were collected by using open-ended physics problems, with a think-aloud strategy applied during the process. Both quantitative and qualitative analyses were conducted using the…

Do your students struggle with low boredom tolerance, lack the confidence and skills needed in social interactions, or find it hard to collaborate? Are you seeing more behavioral disruptions, a wider range of learning challenges, and increased absenteeism? Today's classrooms need to move beyond traditional teaching methods; they need strategies…

This study examines the impact of AI, particularly ChatGPT, on academic integrity and assessment practices in higher education. As AI integration grows, concerns about its potential to undermine academic rigour and increase inequalities have surfaced. Through interviews with students and a lecturer, the research explores the benefits and…

Traditional assessment methods in tertiary education may not suit students' diverse learning needs, values, and preferences. Co-designing assessment with students may engage them more effectively. This scoping review determined assessment co-design processes employed in tertiary education, evaluated the impacts on student learning outcomes and key…

Background/purpose: In this systematic and bibliometric review, we aim to document the approaches and methodologies used to evaluate the impact of educational programs in high schools. Focusing on the main components, such as teacher training, student support, and technology integration, the study explores the different evaluation methodologies,…

This study investigates the familiarity with and application of Dynamic Assessment (DA) among Speech and Language Pathologists (SLPs) in Sweden, focusing on its use in diagnosing language disorders in children. Using a mixed-methods approach, survey data were collected from 565 SLPs, revealing that 72% were familiar with DA. However, a significant…

The rapid development of online education has underscored the necessity of data-driven teaching functions for enhancing teaching quality and efficiency. This paper investigates the role of data-driven approaches in online education, with a particular focus on the practical application of data for evaluating learning outcomes. It highlights the…

The standard methodology for many large-scale assessments in education involves regressing latent variables on numerous contextual variables to estimate proficiency distributions. To reduce the number of contextual variables used in the regression and improve estimation, we propose and evaluate principal component analysis on the covariance matrix…

This article provides a model for robust student affairs program assessment using diverse data sources, multiple outcomes, propensity score matching, and cost analysis. Contemporary outcome-based assessment in student affairs requires equity-minded approaches paired with methods that support causal inference and actionable results. As a guide for…