Transparency in high-stakes English language assessment has become crucial for ensuring fairness and maintaining assessment validity in language testing. However, our understanding of how transparency is conceptualised and implemented remains fragmented, particularly in relation to stakeholder experiences and technological innovations. This study…

This study incorporates a random forest (RF) approach to probe complex interactions and nonlinearity among predictors into an item response model with the goal of using a hybrid approach to outperform either an RF or explanatory item response model (EIRM) only in explaining item responses. In the specified model, called EIRM-RF, predicted values…

This conceptual study explores and proposes strategies for enhancing security and academic integrity within the Open and Distance e-learning (ODeL) context, adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocols. As higher education continues to evolve, the reliance on online assessments has become more…

Artificial intelligence (AI) tools like ChatGPT offer new opportunities to enhance student learning through active recall and self-directed inquiry. This study aimed to determine student perceptions of a classroom assignment designed to develop proficiency in using ChatGPT for these strategies. First-semester Doctor of Pharmacy students in a…

Purpose: Academic integrity is vital to the success and sustainability of the academic project and particularly critical in the training of ethical and informed health professionals. Yet studies have found that cheating in online exams was commonplace during the COVID-19 pandemic. With the increased use of online and blended learning…

Due to the coronavirus disease 2019 (COVID-2019) and the sudden shift to online learning, higher education institutions adopted various approaches to reduce cheating in online assessments, mainly involving online live proctoring (OLP). The international assessment integrity regulation trend also applied to a university in South Africa, where…

The purpose of this study is to describe and evaluate a multilingual automated essay scoring (AES) system for grading essays in three languages. Two different sentence embedding models were evaluated within the AES system, multilingual BERT (mBERT) and language-agnostic BERT sentence embedding (LaBSE). German, Italian, and Czech essays were…

Item compromise has long posed challenges in educational measurement, jeopardizing both test validity and test security of continuous tests. Detecting compromised items is therefore crucial to address this concern. The present literature on compromised item detection reveals two notable gaps: First, the majority of existing methods are based upon…

The current educational landscape is flooded with new technological tools, especially with the arrival of artificial intelligence, which is applicable at all levels of instructional practices. However, the application of technology in assessment in higher education has been understudied. This study focused on filling this research gap by examining…

Online learning and assessment have become a major concern for educators in the field of education due to the many challenges they present. The coronavirus lockdown has profoundly affected the instruction and evaluation processes for English as a Foreign Language (EFL) learners. Therefore, this study aims to investigate the perspectives of EFL…

This investigation elucidates the adoption and integration of Augmented Reality (AR) and Virtual Reality (VR) technologies within educational assessments, focusing on the distinctions between pre-service and in-service teachers. Leveraging an integrated theoretical framework that combines the General Extended Technology Acceptance Model for…

The study examined the association of big five personality traits (i.e., conscientiousness, openness to experience, and neuroticism) with use of Generative Artificial Intelligence (GenAI) among university students. It also examined the moderating role of perceived fairness in grading on the relationships of personality traits with GenAI usage.…

This qualitative study explores the levels of technology acceptance of students and teachers in higher education regarding the use of artificial intelligence (AI) in summative assessment. Twelve students and eight teachers of a university expressed their views on a series of hypothetical scenarios. Stimulated recall interviews, using hypothetical…

Gas Turbine Engines (GTE) have the highest power-to-weight ratio among Internal Combustion Engines (ICE). Its modularity and ability to utilize various types of fuel make it highly recommended in power plants, naval transportation, and, of course, the most equipped in aviation. The lack of GTEs' real data is increasing a recognized need for…

This study examines how authentic assessment could nurture students' epistemic agency: their sense of agency in using, evaluating and producing knowledge. Authentic assessment commonly emphasises 'realism' and 'employability skills'. As important as these ideas are, this approach to authentic assessment neglects the key academic value of…