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Autor/inn/enZhang, Shunan; Shan, Cheng; Lee, John Sie Yuen; Che, ShaoPeng; Kim, Jang Hyun
TitelEffect of Chatbot-Assisted Language Learning: A Meta-Analysis
QuelleIn: Education and Information Technologies, 28 (2023) 11, S.15223-15243 (21 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1360-2357
DOI10.1007/s10639-023-11805-6
SchlagwörterMeta Analysis; Computer Assisted Instruction; Artificial Intelligence; Outcomes of Education; Second Language Learning; Second Language Instruction; Teaching Methods; Instructional Design; Instructional Effectiveness
AbstractChatbots have shown great potential for language learning. However, previous studies have reported mixed results on the efficiency of chatbot-assisted language learning (CALL). This study integrated the results of previous experimental studies on CALL by using meta-analysis to explore its effectiveness. A total of 61 samples from 18 studies were examined. The results showed that CALL had a moderate average effect (g = 0.527). In addition, nine potential moderating variables (educational level, target language, language domain, learning outcome, instruction duration, chatbot interface, chatbot development, task dominance, and interaction way) were identified and discussed. The results of this study provided insights into the use and design of chatbots for language learning. (As Provided).
AnmerkungenSpringer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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