Open Access
| Issue |
SHS Web Conf.
Volume 223, 2025
Malaysia-China International Conference on Educational Development (MICED 2025)
|
|
|---|---|---|
| Article Number | 01003 | |
| Number of page(s) | 4 | |
| DOI | https://doi.org/10.1051/shsconf/202522301003 | |
| Published online | 02 October 2025 | |
- Baidya, M., & Kumar C, A. (2024). Artificial Intelligence in Education: Understanding Benefits, Limitations, and Prospects for the Future. International Journal For Multidisciplinary Research, 6(2), 16699. https://doi.org/10.36948/ijfmr.2024.v06i02.16699 [Google Scholar]
- Chapelle, C. A. (2025). Generative AI as game changer: Implications for language education. System, 103672. https://doi.org/10.1016/j.system.2025.103672 [Google Scholar]
- Chowdhury, M., Dixon, L. Q., Kuo, L.-J., Donaldson, J. P., Eslami, Z., Viruru, R., & Luo, W. (2024). Digital game-based language learning for vocabulary development. Computers and Education Open, 100160. https://doi.org/10.1016/j.caeo.2024.100160 [Google Scholar]
- Evmenova, A. S., Borup, J., & Shin, J. K. (2024). Harnessing the Power of Generative AI to Support ALL Learners. TechTrends. https://doi.org/10.1007/s11528-024-00966-x [Google Scholar]
- Ghimire, P. R., Neupane, B. P., & Dahal, N. (2024). Generative AI and AI tools in English language teaching and learning: An exploratory research. English Language Teaching Perspectives, 9(1-2). https://doi.org/10.3126/eltp.v9i1-2.68716 [Google Scholar]
- Godwin-Jones, R. (2024). Distributed agency in second language learning and teaching through generative AI. Computers and Society. https://doi.org/10.48550/arxiv.2403.20216 [Google Scholar]
- Ku, A. Y. (2024). Capabilities and limitations of AI Large Language Models (LLMs) for materials criticality research. Mineral Economics. https://doi.org/10.1007/s13563024004783 [Google Scholar]
- Li, Y. (2024). Study on the Role and Influence of AI in Personalized Learning for Second Language Acquisition. Journal of Education, Humanities and Social Sciences. https://doi.org/10.54097/wfe3gk31 [Google Scholar]
- Lin, L. (2017). Cultural flows and pedagogical dilemmas: Teaching with collaborative learning in the Chinese HE EFL context. Chinese Journal of Applied Linguistics. https://doi.org/10.1515/cjal2017-0002 [Google Scholar]
- Liu, G. L., Zou, M. M., Soyoof, A., & Chiu, M. M. (2024). Untangling the Relationship Between AI-Mediated Informal Digital Learning of English (AI-IDLE), Foreign Language Enjoyment and the Ideal L2 Self: Evidence From Chinese University EFL Students. European Journal of Education, 10.1111/ejed.12846. https://doi.org/10.1111/ejed.12846 [Google Scholar]
- Reddy, S. (2024). Generative AI in healthcare: an implementation science informed translational path on application, integration and governance. Implementation Science. Advance online publication. https://doi.org/10.1186/s13012024013579 [Google Scholar]
- Urbaite, G. (2025). Adaptive learning with AI: How bots personalize foreign language education. Luminis Applied Science and Engineering. https://doi.org/10.69760/lumin.20250001002 [Google Scholar]
- Wang, S. (2024). Research on Innovative Application and Practical Challenges of Generative Artificial Intelligence in English Teaching. Journal of Education and Educational Research. Retrieved from https://drpress.org/ojs/index.php/jeer/article/view/25398 [Google Scholar]
- Wiboolyasarin, W., Wiboolyasarin, K., Tiranant, P., Jinowat, N., & Boonyakitanont, P. (2025). AIdriven chatbots in second language education: A systematic review of their efficacy and pedagogical implications. Ampersand, 100224. https://doi.org/10.1016/j.amper.2025.100224 [Google Scholar]
- Lantolf, J. P. (2008). Sociocultural Theory. In International Handbook of English Language Teaching. https://doi.org/10.1007/978-0-38746301-8_45 [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

