我国外语专业智慧教育研究现状及AIGC时代的发展态势
Translated title of the contribution: Reviews on Research of Intelligent Higher Education of Foreign Languages Programs in China and Future Avenues in AIGC Era

Abstract

该研究使用文献计量学方法爬梳了2010—2022年国内外语专业智慧教育的研究现状，发现语料库一直是外语专业教育的主要技术手段，利用智慧教育技术的主要课程是翻译类课程。以2018年为界，人工智能、虚拟仿真成了外语专业教育的重要关键词，彰显外语专业教育与智慧教育技术的紧密结合。然而，外语专业智慧教育的理论研究相对滞后，教学实践缺乏系统设计。2022年底大型AI语言智能模型ChatGPT的问世，为外语专业智慧教育带来新的机遇和挑战。该研究建议充分挖掘具身认知、联通主义和沉浸式学习理论等在“人工智能+外语教育”时代的价值，构建智慧化外语专业教育学科理论体系；利用AIGC提供内容支持，利用VR等技术持续构建虚实融合学习场域，开发富媒体教学资源；利用大数据技术赋能教师，为外语专业教育评价提供客观的形成性学习记录；利用机器翻译引擎、 AIGC助力学习，开展人机耦合的智慧外语教育，实施智慧课堂融合创新，全面实现数字智能技术与外语教育教学深度融合，高效优质地培养国家经济社会发展需要的高素质外语人才。

The end of 2022 saw the release of ChatGPT, an AI chatbot based on large language models, which opened an era of AIGC (AI-Generated Content), with significant impact on mankind, the higher education included. In order to investigate how studies have made use of technologies in foreign language teaching in the past decade, and to predict how intelligent technologies will further be integrated into this field, the current bibliometric study has reviewed 62 Chinese journals in the area of linguistics and education, indexed by Chinese Social Science Index (2020-2022). A total of 242 research articles were screened out from the websites of journals with keyword searching (i.e., "foreign language education" "language teaching" and "intelligent foreign language teaching"). It is found that corpus technology was always a prominent technology in FLT from 2010 to 2018, and starting from 2018, Virtual Reality and Artificial Intelligence have been newly emerging keywords in FLT. Thus, for a full embracing of AIGC era, three possible routes are proposed for the deeper integration of FLT with intelligent technologies in China. First, based on embodied cognition, the VR and/or AR learning and teaching platform should be developed, together with teaching and learning resources in Rich Media. Second, a systematic and process-based evaluation scheme on students' foreign language output (writing and speaking) should be carried out based on large language and interactive models like ChatGPT, facilitated be technologies like voice recognition and machine learning. Third, FLT should pay special attention to students' IT literacy as well as critical thinking so as to work with AI-assisted translating and interpreting tools for higher accuracy and efficiency.

Link to publication in CNKI