Research on the Application, Dilemmas and Optimization Strategies of Generative AI in Contextualized Public Speaking Teaching of the a Chinese-medium course: “Professional Communication”

DOI

10.2991/978-2-38476-628-4_18How to use a DOI?

Keywords

Communication; public‑speaking; Generative AI

Abstract

Zhiye Goutong(Professional Communication) is a Chinese‑medium university course focusing on vocational interpersonal and public‑speaking competence. The contextualization of public‑speaking training poses a considerable challenge. Generative AI creates new opportunities for contextualized public‑speaking teaching by delivering authentic and diverse practical scenarios. While the full adoption of generative AI in teaching facilitates students’ learning and practice, it also leads to a general lack of personalization. Three optimization strategies are therefore put forward: optimizing prompts, clarifying the human‑AI collaborative relationship, and prioritizing personalized and creative expression in evaluation.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xiuqin Zhang
PY  - 2026
DA  - 2026/10/30
TI  - Research on the Application, Dilemmas and Optimization Strategies of Generative AI in Contextualized Public Speaking Teaching of the a Chinese-medium course: “Professional Communication”
BT  - Proceedings of the 2026 2nd International Conference on Education Research and Training Technologies (ERTT 2026)
PB  - Atlantis Press
SP  - 166
EP  - 174
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-628-4_18
DO  - 10.2991/978-2-38476-628-4_18
ID  - Zhang2026
ER  -