This paper introduces a framework aimed at assessing the sustainability of fashion designers, intending to evaluate their proficiency in sustainability and enhance higher education in design. To establish a system for assessing and evaluating sustainable design competence, we initiated interviews with both designers and fashion design students.…

Traditional authentic assessment tasks are frequently tied to future work and enmeshed in neoliberal and capitalist visions of education. We advocate an alternative approach where authenticity signifies meaningful learning outside the confines of the classroom to promote deep learning that 'sticks'. We proffer an understanding of "assessment…

This study compares how the generative AI (GenAI) large language model (LLM) ChatGPT performs in grading university exams compared to human teachers. Aspects investigated include consistency, large discrepancies and length of answer. Implications for higher education, including the role of teachers and ethics, are also discussed. Three…

Contribution: This article analyzes student assessment within a computing faculty employing a full project-based learning (PBL) approach. Examining 2078 final grades across 60 classes and periods, the study reveals a significant correlation between graded self-studies, exams, and projects. This result contributes to understanding the reliability…

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 problem of local item dependencies (LIDs) is very common in personality and attitude measures, particularly in those that measure narrow-bandwidth dimensions. At the structural level, these dependencies can be modeled by using extended factor analytic (FA) solutions that include correlated residuals. However, the effects that LIDs have on the…

The Gulf Cooperation Council (GCC) countries, including Saudi Arabia, United Arab Emirates (UAE), Oman, Kuwait, Qatar, and Bahrain, have significantly progressed in higher education reform programmes. However, challenges remain, such as a lack of uniformity in assessment, different norms for degree recognition, a shortage of regionally relevant…

Background/purpose: The purposes of this research are to develop a reliable and valid assessment tool for measuring systems thinking skills in upper primary students in Thailand and to establish a normative criterion for evaluating their systems thinking abilities based on educational standards. Materials/methods: The study followed a three-phase…

Interdisciplinary thinking is critical for equipping students to apply scientific knowledge and tackle societal challenges across various disciplines, which has been recognized as a key objective of twenty-first century science education. However, research on effective interdisciplinary assessment in secondary school science education is still…

Generative AI (GenAI) is transforming higher education. It has already challenged the validity of traditional assessment methods and revealed concerns about the authenticity and reliability of conventional approaches. This opinion piece proposes an expanded theoretical framework for contextual learning, incorporating practical, situational,…

Comparative Judgement (CJ) is an evaluation method, typically conducted online, whereby a rank order is constructed, and scores calculated, from judges' pairwise comparisons of performances. CJ has been researched in various educational contexts, though only rarely in English as a Foreign Language (EFL) writing settings, and is generally agreed to…

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…

In the shift to Emergency Remote Teaching and Learning (ERT&L) during the COVID-19 pandemic, remote assessment and feedback became a major source of discontent and challenge for students and staff. This paper is a reflection and analysis of assessment practices during ERT&L, and our theorisation of the possibilities for shifts towards…