Evaluating Language Models Using Linguistic Variations in Multilingual Learners’ Writing: A Teacher Study
International Society of the Learning Sciences (2025) Authors: Kaycie Barron, Nora Tseng, Shamya Karumbaiah, Cynthia T. Baeza Abstract: This paper investigates teachers’ perceptions on linguistic variations in bi/multilingual learners’ (MLs) writing to evaluate the (in)effectiveness of Multilingual Large Language Models (MLLMs), which are artificial intelligence (AI) models that generate texts in multiple languages. Due to …