Paper Status Tracking
Contact us
[email protected]
Click here to send a message to me 3275638434
Paper Publishing WeChat

Article
Affiliation(s)

Nanfang College Guangzhou, Guangzhou, China

ABSTRACT

This article systematically integrates the powerful generative features of Generative Artificial Intelligence (GAI) with the synergistic features of multi-modal technology and explores a new pedagogical approach to effective language teaching under the context of a lack of active engagement and motivation, and limited accessibility and dynamism of educational materials in traditional English courses in China’s advanced education. This study proposes a novel language teaching model (a three-tier structure) based on a critical review of the usage of GAI and multi-modality in educational environments. This new language teaching model combines GAI with multi-modal technology and centers around the G-M4 cycle (Generation-Input-Interaction-Output-Monitor/Feedback). This model means empowered generative capabilities, a more dynamic and interactive learning environment, multi-modal and creative output, and effective evaluation and prompt feedback. Furthermore, critical aspects that require attention, such as data privacy and ethical responsibilities, are also illustrated.

KEYWORDS

Generative Artificial Intelligence, multi-modal technology, English teaching, GAI integration

Cite this paper

LI Kunmei, HU Kun. (2025). On the Integration of GAI and Multi-modality in English Teaching: A Study on New Language Teaching Model Construction. US-China Education Review A, July 2025, Vol. 15, No. 7, 526-532.

References

Du, Y., & Gao, H. (2022). Determinants affecting teachers’ adoption of AI-based applications in EFL context: An analysis of analytic hierarchy process. Education and Information Technologies, 27(7), 9357-9384. Retrieved from https://doi.org/10.1007/s10639-022-11001-y

Huang, F. (2023). Examining foreign language teachers’ information literacy: Do digital nativity, technology training, and fatigue matter? The Asia-Pacific Education Researcher, 33, 901-912. Retrieved from https://doi.org/10.1007/s40299-023-00797-z

Huang, W., Hew, K. F., & Fryer, L. K. (2023). Generative AI and the future of education: Ragnarök or reformation? Educational Technology Research and Development, 71(1), 1-14. Retrieved from https://doi.org/10.1007/s11423-023-10231-2

Jewitt, C. (Ed.). (2009). The Routledge handbook of multimodal analysis. London: Routledge.

Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F. … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. Retrieved from https://doi.org/10.1016/j.lindif.2023.102274

Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for language teaching and learning. RELC Journal, 54(3), 537-550. Retrieved from https://doi.org/10.1177/00336882231162873

Kress, G., & van Leeuwen, T. (2020). Multimodal discourse: The modes and media of contemporary communication (2nd ed.). London: Bloomsbury Academic.

Mayer, R. E. (2020). Multimedia learning (3rd ed.). Cambridge: Cambridge University Press. Retrieved from https://www.cambridge.org/us/univerisitypress/subjects/psychology/educational-psychology/multimedia-learning-3rd-edition

Mills, K. A. (2016). Literacy theories for the digital age: Social, critical, multimodal, spatial, material and sensory lenses. Bristol: Multilingual Matters. Retrieved from https://www.multilingual-matters.com/page/detail/?k=9781783094615

Serafini, F. (2014). Reading the visual: An introduction to teaching multimodal literacy. New York: Teachers College Press. Retrieved from https://www.tcpress.com/reading-the-visual-9780807754719

Wang, Z. J., Liu, X. J., & Su, C. Y. (2025). How humans differ from artificial intelligence: A design thinking-based approach to cultivating empathy in an AI-driven society. Journal of Distance Education, 45(6), 20-34. Retrieved from https://doi.org/10.13541/j.cnki.chinade.2025.06.005

Zhang, Z., & Li, J. (2023). Multimodal input in second language learning: A meta-analysis. Language Learning & Technology, 27(1), 1-24. Retrieved from https://doi.org/10125/73518

About | Terms & Conditions | Issue | Privacy | Contact us
Copyright © 2001 - David Publishing Company All rights reserved, www.davidpublisher.com
3 Germay Dr., Unit 4 #4651, Wilmington DE 19804; Tel: 001-302-3943358 Email: [email protected]