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Direct linkKevin Hirschi; Okim Kang; Mu Yang; John H. L. Hansen; Kyle Beloin – Language Learning, 2025
This study investigated the use of Artificial Intelligence (AI) models and signal detection processes to generate meaningful visual and ChatGPT-like narrative feedback on second language (L2) English intelligibility. To test the effects and perceptions of such techniques, three groups of learners (N = 90) received visual and narrative feedback…
Descriptors: Artificial Intelligence, Technology Uses in Education, Feedback (Response), English (Second Language)
Kevin Hirschi; Okim Kang – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2024
Issues of intelligibility may arise amongst English learners when acquiring new words and phrases in North American academic settings, perhaps in part due to limited linguistic data available to the learner for understanding language use patterns. To this end, this paper examines the effects of Data-Driven Learning for Pronunciation (DDLfP) on…
Descriptors: English for Academic Purposes, Second Language Learning, Second Language Instruction, Phonology
