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Direct linkMichael Suhan; Mikyung Kim Wolf – Language Testing, 2026
Large language models, such as OpenAI's GPT-4, have the potential to revolutionize automated writing evaluation (AWE). The present study examines the performance of the GPT-4 model in evaluating the writing of young English as a foreign language learners. Responses to three constructed response tasks (n = 1908) on Educational Testing Service's…
Descriptors: Language Tests, Automation, Computer Assisted Testing, Scoring
Košak-Babuder, Milena; Kormos, Judit; Ratajczak, Michael; Pižorn, Karmen – Language Testing, 2019
One of the special arrangements in testing contexts is to allow dyslexic students to listen to the text while they read. In our study, we investigated the effect of read-aloud assistance on young English learners' language comprehension scores. We also examined whether students with dyslexia identification benefit from this assistance differently…
Descriptors: Dyslexia, Identification, Scores, English (Second Language)
