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-…

Despite the growing recognition that second language (L2) listening is a skill incorporating the ability to process visual information along with the auditory stimulus, standardized L2 listening assessments have been predominantly operationalizing this language skill as visual-free (Buck, 2001; Kang, Gutierrez Arvizu, Chaipuapae, & Lesnov,…

A comprehensive review is given of evidence, with a bearing on the recommendation to avoid use of complex multiple choice (CMC) items. Avoiding Type K items (four primary responses and five secondary choices) seems warranted, but evidence against CMC in general is less clear. (SLD)

Guidelines for test item-writing have traditionally recommended making the correct answer of a multiple-choice item grammatically consistent with its stem. To investigate the effects of adhering to this practice, certain item formats were designed to determine whether the practice of providing relevant grammatical clues, in itself, created cue…