This study investigated the impact of AI-powered adaptive testing on student academic performance and test anxiety, comparing its effectiveness to traditional testing methods. Using a quantitative research approach, hierarchical regression analysis was employed to examine the influence of adaptive testing on student outcomes, controlling for…

Computer-based testing is becoming dominant for assessments in education. In New York, students take state assessments, which are now administered digitally. While this transition in technology offers advantages, there are also challenges, including insufficient digital literacy for students to adequately meet the technological demands of the…

A significant number of students experience anxiety when asked to speak in English. This unease, often rooted in factors such as shyness, lack of confidence, uncertainty, and a lack of motivation, can hinder their active participation during English oral exams. One of the most important goals that every English language teacher should strive to…

The shift to distance education during the COVID-19 pandemic highlighted the potential and preference of online learners for remote assessment. Yet, concerns about academic integrity, especially with tools like ChatGPT, prompted a reevaluation of remote evaluation methods. Universities responded by returning to on-campus exams or relying on…

Language assessment is increasingly computermediated. This development presents opportunities with new task formats and equally a need for renewed scrutiny of established conventions. Recent recommendations to increase integrated skills assessment in lecture comprehension tests is premised on empirical research that demonstrates enhanced construct…