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ERIC Number: EJ1428076
Record Type: Journal
Publication Date: 2024-Jun
Pages: 25
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-1094-3501
Effects of Learner Uptake Following Automatic Corrective Recast from Artificial Intelligence Chatbots on the Learning of English Caused-Motion Construction
Rakhun Kim
Language Learning & Technology, v28 n2 p109-133 2024
This study investigated the instructional effects of learner uptake following automatic corrective recast from artificial intelligence (AI) chatbots on the learning of the English caused-motion construction. 69 novice-level EFL learners in a Korean high school were recruited to investigate the instructional effects of corrective recast from AI chatbots on the learning of the English caused-motion construction. Results from the elicited writing tasks (EWT) revealed that statistically significant gains were observed in both immediate and delayed posttests for the production of the English caused-motion construction by experimental group participants. Also, the relationship between learner uptake from AI chatbots' corrective recast and the learning of the English caused-motion construction were analyzed. The results demonstrated that learners' successful repair from AI chatbots' corrective recast was positively correlated with the learning gains in the two EWT posttests. The study concludes by highlighting the significance of noticeability in AI chatbots' corrective feedback for foreign language learning.
National Foreign Language Resource Center at University of Hawaii. 1859 East-West Road #106, Honolulu, HI 96822. e-mail: llt@hawaii.edu; Web site: https://www.lltjournal.org/
Publication Type: Journal Articles; Reports - Research
Education Level: High Schools; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: South Korea
Grant or Contract Numbers: N/A