Effectiveness of Chatbots in Improving Language Learning: A Meta‐Analysis of Comparative Studies DOI
Boning Lyu, Chun Lai,

Jianing Guo

и другие.

International Journal of Applied Linguistics, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 28, 2024

Abstract The development of artificial intelligence has presented new opportunities and challenges for language education. Using techniques such as automatic speech recognition generative intelligence, conversational chatbots have been integrated into learning teaching. However, findings the impact on second and/or foreign (L2) are mixed. Therefore, this research conducted a meta‐analysis to synthesize existing research. Thirty‐one studies with 41 effect sizes were included in meta‐analysis. It was found that medium L2 ( g = 0.608, Z 6.77, p < 0.001). Moderating analysis further showed effects moderated by mobility access chatbot, modality whether or not AI technology involved, nature comparison groups design. suggest general positive learning. results enhance advantages chatbots, their accessibility, adaptability need be considered. Furthermore, more refined perspective is needed when discussing benefits use process.

Язык: Английский

Teachers' AI Readiness in Chinese as a Foreign Language Education: Scale Development and Validation DOI
Nuoen Li, Yu Liang

System, Год журнала: 2025, Номер unknown, С. 103597 - 103597

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1
Evolving Learning Environments DOI
Andi Asrifan, Sajed Ingilan

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 117 - 144

Опубликована: Апрель 11, 2025

This chapter investigates how AI humanoids revolutionize cyber nomad education. Cyber nomadism is flexible yet has drawbacks including isolation and resource shortages. enable personalized learning, constant feedback, collaboration among geographically distributed learners. promotes participation adaptation in Equity education requires ethical considerations of data privacy, bias, accessibility. will stress hyper-personalization, hybrid learning methods, worldwide collaboration, requiring instructors to integrate technologies. The document recommends using empower mobile learners create inclusive, adaptable environments that prepare students for a changing world.

Язык: Английский

Процитировано

0
Exploring the Effectiveness of Cooperative Pre-Service Teacher and Generative AI Writing Feedback on Chinese Writing DOI Creative Commons

Hongli Yang,

Yu Zhang, J. Y. Guo

и другие.

Behavioral Sciences, Год журнала: 2025, Номер 15(4), С. 518 - 518

Опубликована: Апрель 13, 2025

Due to their efficiency, stability, and enhanced language comprehension analysis capabilities, generative AIs have attracted increasing attention in the field of writing as higher-level automated evaluation (AWE) feedback tools. However, few studies examined impact pre-service teachers using AI combination with own teaching experience provide on Chinese writing. To fill this gap, based 1035 texts, we differences between 11 Erine Bot (a AI) interviewed about willingness cooperate AI. The collaborative generated by was compared separately. We identified that, although Ernie provided significantly better than three specific areas (except for expression), both had respective advantages terms strategy, human–computer cooperative either or alone. true across all aspects focus strategy. These findings can support training improve quality students via implementing more effective feedback.

Язык: Английский

Процитировано

0
Effectiveness of Chatbots in Improving Language Learning: A Meta‐Analysis of Comparative Studies DOI
Boning Lyu, Chun Lai,

Jianing Guo

и другие.

International Journal of Applied Linguistics, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 28, 2024

Abstract The development of artificial intelligence has presented new opportunities and challenges for language education. Using techniques such as automatic speech recognition generative intelligence, conversational chatbots have been integrated into learning teaching. However, findings the impact on second and/or foreign (L2) are mixed. Therefore, this research conducted a meta‐analysis to synthesize existing research. Thirty‐one studies with 41 effect sizes were included in meta‐analysis. It was found that medium L2 ( g = 0.608, Z 6.77, p < 0.001). Moderating analysis further showed effects moderated by mobility access chatbot, modality whether or not AI technology involved, nature comparison groups design. suggest general positive learning. results enhance advantages chatbots, their accessibility, adaptability need be considered. Furthermore, more refined perspective is needed when discussing benefits use process.

Язык: Английский

Процитировано

0