创新创业理论研究与实践 ›› 2025, Vol. 8 ›› Issue (7): 165-168.

• 创新方法 • 上一篇    下一篇

人工智能技术促进英语演讲课程教学数字化转型的创新路径研究

苏道佳   

  1. 南宁师范大学师园学院,广西南宁 530226
  • 出版日期:2025-04-10 发布日期:2025-06-03
  • 作者简介:苏道佳(1981—),男,壮族,广西南宁人,硕士研究生,副教授,研究方向:英语教学改革论、英语翻译。
  • 基金资助:
    广西教育科学“十四五”规划重点课题“广西民办高校英语教师科研话语权现状及策略研究”(2022ZJY3172); 南宁师范大学师园学院科研项目“深度翻译下的广西壮族民俗文化译介与传播”(2024KY04); 南宁师范大学师园学院课程思政示范课程重点项目“英汉口译II”(KCSZ202303)

Research on the Innovative Path of Artificial Intelligence Technology Promoting the Digital Transformation of English Speech Course Teaching

SU Daojia   

  1. Shiyuan College of Nanning Normal University, Nanning Guangxi, 530226, China
  • Online:2025-04-10 Published:2025-06-03

摘要: 随着人工智能技术的快速发展,教育行业迎来了新的变革机遇。在英语演讲课程教学中,人工智能技术的应用已经从理论走向实践,其在语音识别、自然语言处理、数据分析等方面的突破,为英语演讲课程教学数字化转型提供了强有力的技术支持。该文结合人工智能技术,从教学内容、教学方法、教学评价和教学管理等方面,提出一系列创新策略,以促进英语演讲课程教学数字化转型的深入发展,期望能够为英语演讲课程的教学改革提供理论支持和实践指导,推动英语演讲课程教学质量的提升,为培养具有国际竞争力的英语演讲人才做出贡献。

关键词: 人工智能, 英语演讲, 个性化学习, 数字化转型, 创新路径, 教学内容

Abstract: With the rapid development of artificial intelligence technology, the education industry has ushered in new opportunities for change. In the teaching of English speech courses, AI application technology has moved from theory to practice. Its breakthroughs in speech recognition, natural language processing, data analysis, and other aspects provide strong technical support for the digital transformation of English speech course teaching. This study will combine artificial intelligence technology to propose a series of innovative strategies from the aspects of teaching content, teaching methods, teaching evaluation, and teaching management, in order to promote the deep development of digital transformation in English speech course teaching. It is expected to provide theoretical support and practical guidance for the teaching reform of English speech course, promote the improvement of teaching quality of English speech course, and contribute to the cultivation of internationally competitive English speech talents.

Key words: Artificial intelligence, English speech, Personalized learning, Digital transformation, Innovation path, Content of teaching

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