Generative AI for professional communication training in intercultural contexts: where are we now and where are we heading?

IF 2.1 2区 文学 0 LANGUAGE & LINGUISTICS
David Wei Dai, Shungo Suzuki, Guanliang Chen
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引用次数: 0

Abstract

It is a common feature of the 21st century workplace to be multicultural. Working professionals need to possess strong Interactional Competence to handle professional communication in various intercultural encounters in their workplace. This has however posed challenges to professional communication education since educators need to incorporate different cultural practices and interlocutor profiles in their teaching and assessment materials. In this paper we reflect on the practical challenges of professional communication education in intercultural contexts and envisage what AI can offer in this place. We start with some practical, on-the-ground dilemmas in integrating diverse cultural representation in professional communication education. We then use an operational AI-mediated assessment tool to elaborate the possibilities, affordances and caveats in using AI to develop teaching and assessment materials for professional communication education. We conclude with directions for future research and practice in the emerging space of AI for professional communication in intercultural contexts (AI-for-PCIC).
用于跨文化背景下专业交流培训的生成式人工智能:我们的现状和未来?
多元文化是 21 世纪工作场所的共同特征。在职专业人员需要具备很强的互动能力,以便在工作场所的各种跨文化交际中处理专业交流。然而,这给职业交际教育带来了挑战,因为教育者需要将不同的文化习俗和对话者情况纳入教学和评估材料中。在本文中,我们将反思跨文化背景下专业交流教育所面临的实际挑战,并设想人工智能在这方面能提供什么。我们首先介绍了在专业传播教育中融入多元文化表征的一些实际困难。然后,我们使用一个可操作的人工智能中介评估工具来阐述使用人工智能开发专业传播教育教学和评估材料的可能性、可负担性和注意事项。最后,我们为人工智能在跨文化背景下的职业交流(AI-for-PCIC)这一新兴领域的未来研究和实践指明了方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.20
自引率
7.70%
发文量
81
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