%0 Journal Article
%T 人工智能背景下高职英语教学资源建设的探索研究
Exploration and Research on the Building of Higher Vocational English Teaching Resources under the Background of Artificial Intelligence
%A 曾崇达
%J Vocational Education
%P 63-69
%@ 2160-4401
%D 2025
%I Hans Publishing
%R 10.12677/ve.2025.145196
%X 随着人工智能技术的快速发展，信息化背景下教与学的方式正在发生巨大转变，将AI人工智能技术应用到高职英语教学已经成为了当前英语教育发展与改革的重要方向。在英语口语和写作教学领域，AI技术已经得到了广泛应用，智慧课堂和“云平台”等智能教学平台也逐渐形成体系和规模。而在英语教学辅助资源的建设上，AI智能技术的应用仍然需要得到更多的关注和研究。目前部分高职英语教材配套的教学辅助资源不够完善，存在标准化课件老旧、阅读文本图片资源稀少、文本背景资料不完善和语法阐释不够充分等一系列问题，笔者将基于建构主义的学习理论尝试提出三种授课教师可以将AI技术应用于英语教学辅助资源建设的具体实施路径，并将这些技术优势转化为实际的教学效益。
With the rapid development of artificial intelligence technology, the way of teaching and learning in the context of informatization is undergoing a huge change. Applying AI technology to higher vocational English teaching has become an important direction for the development and reform of English education. In the field of English oral and writing teaching, AI technology has been widely used, with intelligent teaching platforms, such as smart classrooms and “cloud platforms”, gradually becoming systematic. However, with regard to the auxiliary resources for English teaching, the application of AI intelligent technology still needs more attention and research. At present, the auxiliary teaching resources for some higher vocational English textbooks are not perfect, as there are a series of problems such as outdated standardized courseware, scarce reading text and picture resources, incomplete text background information and insufficient grammar explanation. In this article, the author attempts to propose three specific paths based on constructivism theory for teachers to apply AI technology to the building of auxiliary resources for English teaching, and transform these technical advantages into actual teaching benefits.
%K 人工智能，
%K 高职英语教学，
%K 教学辅助资源，
%K 建构主义
Artificial Intelligence
%K Higher Vocational English Teaching
%K Teaching Auxiliary Resources
%K Constructivism
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=114273