The integration of various programming languages into the undergraduate engineering curriculum often occurs without adequate evaluation of their effectiveness within specific disciplines. Recently, Python and MATLAB have garnered significant attention as preferred languages for teaching subjects such as image processing and computer vision.…

In autistic adults, measurement tools may not adequately differentiate between autistic characteristics and features of anxiety. This may be particularly evident in the case of social anxiety disorder; however, few measures of social anxiety disorder have been validated for autistic adults. Instead, assessments are often made using measures…

Autistic people are more likely to have co-occurring mental health conditions compared to the general population, and mental health interventions have been identified as a top research priority by autistic people and the wider autism community. Autistic adults have also communicated that quality of life is the outcome that matters most to them in…

Is it possible to measure wealth and poverty across settings while being faithful to local understandings? The stages of progress method (SoP) attempts to do this by building ladders of wealth in locally relevant terms and using these in comparisons across groups. This approach is potentially useful among pastoralist populations where monetary…

Objective: Gender-sensitive approaches to increasing men's physical activity (PA) through sports settings have shown promise across cultural contexts. We examined changes to men's walking and the contribution of walking towards selfreported PA after participating in the men-only European Fans in Training (EuroFIT) programme before exploring men's…

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…