This study explores the effectiveness of using ChatGPT, an Artificial Intelligence (AI) language model, as an Automated Essay Scoring (AES) tool for grading English as a Foreign Language (EFL) learners' essays. The corpus consists of 50 essays representing various types including analysis, compare and contrast, descriptive, narrative, and opinion…

An important issue about testing and assessment is that despite their significant role as item writers, assessors, or decision-makers, teachers' perception of testing and assessment in the English as a foreign language (EFL) context and how their perception differs with certain variables are usually ignored. This study aims to explore teachers'…

The study investigates teachers' perceptions of the use of online language assessment (OLA) using technology and examines the scope of using online applications to validate the mode of assessment. It looks for EFL teachers' opinions of OLA to comprehend the many worries associated with the issues and improve the online assessment tools. The…

Language proficiency testing serves an important function of classifying examinees into different categories of ability. However, misclassification is to some extent inevitable and may have important consequences for stakeholders. Recent research suggests that classification efficacy may be enhanced substantially using computerized adaptive…

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…