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- W4206735393 abstract "Language learning has dramatically influenced the extensiveness of web-based learning, AI applications, smart content, personalized tutoring systems, virtual facilitators. This paper aims to review the empirical evidence on the application of intelligent agents in English learning to define the future research perspectives of Teachable Agents-assisted English education. After a systematic online data search, the investigator analyzed nine empirical studies on how Teachable agents have potential English teaching and learning benefits. The results indicate that (1) most studies conducted with large sample size at university level followed by elementary level, (2) instructional design were in dialogue and image form, (3) emerged two categories- Interaction and integration, (4) most of them used experimental research in different settings. This study suggests that TAs substantially play a supportive role, enhance their involvement, scaffold their learning, and become self-regulated learners. Hence, we prospect the need for a future-oriented vision regarding AI and intelligent technologies- assisted language learning for non-native speakers." @default.
- W4206735393 created "2022-01-25" @default.
- W4206735393 creator A5039349928 @default.
- W4206735393 date "2022-01-14" @default.
- W4206735393 modified "2023-10-18" @default.
- W4206735393 title "A Systematic Review of Exploring the Potential of Teachable Agents in English Learning" @default.
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- W4206735393 doi "https://doi.org/10.29333/pr/11553" @default.
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