Background: Multiple-choice item (MCI) assessments are burdensome for instructors to develop. Artificial intelligence (AI, e.g., ChatGPT) can streamline the process without sacrificing quality. The quality of AI-generated MCIs and human experts is comparable. However, whether the quality of AI-generated MCIs is equally good across various domain-…

As education gets increasingly digitized, and intelligent tutoring systems gain commercial prominence, scalable assessment generation mechanisms become a critical requirement for enabling increased learning outcomes. Assessments provide a way to measure learners' level of understanding and difficulty, and personalize their learning. There have…

In language testing programs, different test forms are often used to administer the same test. Demonstrating the comparability of these forms is essential to avoid criticisms of potential test unfairness. However, studies with this objective are scarce. This study aims to investigate the extent to which the picture-prompt writing tasks of three…

The assessments designed for and analyzed in this study used a task-based language design template rooted in theories of language reflecting heteroglossic language practices and funds of knowledge learning theories, which were understood as transforming classroom teaching, learning, and assessment through continua of biliteracy lenses. Using a…

While much of the work in language testing is concerned with constructing quality tests in order to measure language knowledge in reliable and valid ways, there has been a significant movement in language testing research that examines tests in the context of their use in education and society. This line of research exits from the notion that…

This article explores the effect of raters' background on assessments made in an occupation-specific oral language test, the Japanese Language Test for Tour Guides. Assessments of 51 test candidates made by 33 assessors were compared in order to determine what effect background has on assessments made on both linguistic and "real-world"…

Three case studies are presented demonstrating the application of straight-forward Rasch techniques to rank order data. Paired comparisons are the simplest form of rank ordering. A consumer preference test with 56 pairs of cups of coffee tasted by each of 26 consumers illustrates analysis of these rankings. When subjects are allowed the option of…

The New Standards Project is a joint effort of the Learning Research and Development Center (LRDC) at the University of Pittsburgh (Pennsylvania) and the National Center on Education and the Economy toward creation of a national examination system based on performance assessments. This study explored the feasibility of comparing performance on…