创新创业理论研究与实践 ›› 2025, Vol. 8 ›› Issue (19): 128-130.

• 模式探索 • 上一篇    下一篇

基于AI赋能的农业资源与环境专业英语线上线下混合式教学模式探究

熊鹏, 汪露, 方熊, 姜冠杰, 谢凯柳, 曹际玲, 陈洁, 王齐齐, 李丹萍   

  1. 江西农业大学 国土资源与环境学院,江西南昌 330045
  • 出版日期:2025-10-10 发布日期:2025-11-17
  • 作者简介:熊鹏(1992—),男,湖南常德人,博士研究生,讲师,研究方向:农业资源与环境专业教学,电子邮箱:pxiong@jxau.edu.cn。
  • 基金资助:
    2024年江西农业大学教学改革研究课题“基于AI赋能的新农科背景下农业资源与环境专业英语课程线上线下混合教学模式研究”(2024B2ZZ20); 2024年江西省高校省级教学改革研究课题重点项目“数字化环境下基于创新能力培养的农林类环境化学课程教学研究与实践”(JXJG-24-3-2); 2024年江西农业大学教学改革研究课题“‘以战代练’校企政融合环境影响评价实践能力提升方案”(2024B2ZZ21); 2022年度井冈山农高区省级科技专项“揭榜挂帅”项目子课题“红壤板结消减与季节性干旱适应能力协同提升的生物耕作技术及应用”(20222-051261-2-2)

Research on Online-Offline Blended Teaching Mode of Specialized English for Agricultural Resources and Environment Based on AI Empowerment

XIONG Peng, WANG Lu, FANG Xiong, JIANG Guanjie, XIE Kailiu, CAO Jiling, CHEN Jie, WANG Qiqi, LI Danping   

  1. College of Land Resource and Environment, Jiangxi Agricultural University, Nanchang Jiangxi, 330045, China
  • Online:2025-10-10 Published:2025-11-17

摘要: AI(人工智能)技术的出现改变了传统的教学方式,而AI赋能的线上线下混合式教学优化了教学模式,丰富了教学资源,提供了个性化的教学体验,获得了广泛认可。该文以农业资源与环境专业英语为例,在新农科背景下,以培养新型农业人才为目标,结合AI技术,从线上线下混合式教学模式构建、教学质量评价体系优化两个方面进行了阐述,以期为农业资源与环境专业英语教学模式的改革提供参考。

关键词: 人工智能, 农业资源与环境, 专业英语, 混合教学模式, 优化, 实践

Abstract: The presence of AI (Artificial Intelligence) technology has changed the traditional way of teaching, and the AI-empowered online-offline blended teaching optimizes the teaching mode, enriches the teaching resources, and provides a personalized teaching experience, which is being widely recognized. In this paper, taking the specialized English for agricultural resources and environment as an example, under the background of new agricultural science, with the goal of cultivating new agricultural talents, combined with AI technology, the two aspects of the construction of online and offline blended teaching mode and optimization of the teaching quality evaluation system are elaborated, aiming to provide a reference for the reform of the teaching mode of the specialized English for agricultural resources and environment.

Key words: Artificial intelligence, Agricultural resources and environment, Specialized English, Blended teaching mode, Optimization, Practice

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