Following the burgeoning growth of artificial intelligence (AI) and machine learning (ML) applications in language assessment in recent years, the meteoric rise of ChatGPT and its sweeping applications in almost every sector have left us in awe, scrambling to catch up by developing theories and best practices. This special issue features studies…

Machines have a long-demonstrated ability to find statistical relationships between qualities of texts and surface-level linguistic indicators of writing. More recently, unlocked by artificial intelligence, the potential of using machines to identify content-related writing trait criteria has been uncovered. This development is significant,…

This study investigated how peer-mediated Dynamic Assessment (DA) unfolded in translation revision competence (TRC) of students of Master's degree of Translation and Interpreting (MTI) in China. Thirty subjects first completed three revision tasks and were then rated as high- or low-level performers according to their average scores across the…

The use of integrated tasks to test English-speaking skills raises questions about the impact of comprehension on test score outcomes, and the impact of stimulus materials on test-taker strategic behaviours. This study analysed speaking performances and verbal report data to examine the strategies used by test takers at different levels of…