The integration of Generative Artificial Intelligence (GenAI) in education has introduced innovative approaches to assessment. One such approach is AI chatbot-based assessment, which utilizes large language models to provide students with timely and consistent feedback. However, the effectiveness of AI chatbots in generating assessments comparable…

In 2020, because of the COVID-19 pandemic the higher education sector, in the United Kingdom and internationally, transitioned to online assessment, at a speed and scale which might have been unimaginable under normal circumstances. The priority in the sector was to ensure that fundamental principles of assessment, including integrity, were…

The quality of sign language interpreting (SLI) is a gripping construct among practitioners, educators and researchers, calling for reliable and valid assessment. There has been a diverse array of methods in the extant literature to measure SLI quality, ranging from traditional error analysis to recent rubric scoring. In this study, we want to…

This research examines what practitioners in vocational education and training (VET) organisations and external auditors judge to be the key issues in the current and future use of e-assessment. Applying the framework of legitimacy theory, the study examined the tensions around the use and growth of e-assessment in training organisations, and…

This study examined the effects of identity revelation and concealment on the number of times students' work was assessed in an online peer assessment context. It also examined the underlying reasons guiding the assessor's targeting behavior. Two fifth-grade classes participated. The one-group pretest-posttest experimental research design coupled…

This report presents work on the development of a new corpus of non-native English writing. It will be useful for the task of native language identification, as well as grammatical error detection and correction, and automatic essay scoring. In this report, the corpus is described in detail.

Speaking performance tests typically employ raters to produce scores; accordingly, variability in raters' scoring decisions has important consequences for test reliability and validity. One such source of variability is the rater's level of expertise in scoring. Therefore, it is important to understand how raters' performance is influenced by…

There is a growing body of research literature that considers how the mode of assessment, either computer-based or paper-based, might affect candidates' performances. Despite this, there is a fairly narrow literature that shifts the focus of attention to those making assessment judgements and which considers issues of assessor consistency when…