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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)
Saito, Kazuya; Macmillan, Konstantinos; Kachlicka, Magdalena; Kunihara, Takuya; Minematsu, Nobuaki – Studies in Second Language Acquisition, 2023
Whereas many scholars have emphasized the relative importance of "comprehensibility" as an ecologically valid goal for L2 speech training, testing, and development, eliciting listeners' judgments is time-consuming. Following calls for research on more efficient L2 speech rating methods in applied linguistics, and growing attention toward…
Descriptors: Second Language Learning, Second Language Instruction, Interrater Reliability, Speech Communication
Moussalli, Souheila; Cardoso, Walcir – Computer Assisted Language Learning, 2020
Second/foreign language (L2) classrooms do not always provide opportunities for input and output practice [Lightbown, P. M. (2000). Classroom SLA research and second language teaching. Applied Linguistics, 21(4), 431-462]. The use of smart speakers such as Amazon Echo and its associated voice-controlled intelligent personal assistant (IPA) Alexa…
Descriptors: Artificial Intelligence, Pronunciation, Native Language, Listening Comprehension
