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生成式人工智能的发展为初中英语跨学科主题学习提供了创新支撑。在系统剖析生成式人工智能赋能英语跨学科主题学习的多元优势的基础上,针对当前初中英语跨学科教学中资源匮乏、融合浅层化、个性化指导不足等问题,本研究以人教版七年级英语单元为教学实例,构建了生成式人工智能赋能初中英语跨学科主题学习的实践路径,包括跨学科大概念建构、多模态语料生成、多维学习支架搭建及多元课堂展示。研究旨在优化跨学科资源供给与教学活动设计,推动学生英语语言运用能力、跨学科知识整合能力与实践创新素养的协同发展,实现学生核心素养的全面培育。本研究提出的实践方案具备良好可行性与推广价值,为初中英语跨学科主题学习的提质增效提供了新思路与实践参考。
生成式人工智能;跨学科主题学习;初中英语
The development of generative artificial intelligence provides innovative support for interdisciplinary thematic learning in junior high school English. Based on a systematic analysis of its advantages, this study addresses issues such as resource scarcity, superficial integration, and insufficient personalized guidance in current junior high school English interdisciplinary teaching. Using a seventh-grade English unit from the PEP textbook as an example, it constructs a practical pathway for generative AI to empower such learning, including the construction of interdisciplinary ideas, generation of multimodal language materials, establishment of multidimensional learning scaffolds, and diverse classroom presentations. This research aims to optimize interdisciplinary resource supply and teaching activity design that promotes the coordinated development of students’ English language application ability, interdisciplinary knowledge integration capacity, and practical innovation literacy, thereby fostering the comprehensive cultivation of students’ core competencies. The practical approach proposed demonstrates feasibility and promotion value, offering new ideas and practical references for enhancing the quality and effectiveness of interdisciplinary thematic learning in junior high school English.
Generative Artificial Intelligence; Interdisciplinary Thematic Learning; Junior High School English
韩江雪,张雪莉. 生成式人工智能赋能初中英语跨学科主题学习的实践研究[J]. 中国现代教育学报. 2026, 2 (4): 54-61. DOI: 10.70693/202607108101.
韩江雪, 张雪莉. (2026). 生成式人工智能赋能初中英语跨学科主题学习的实践研究. 中国现代教育学报, 2 (4), 54-61. https://doi.org/10.70693/202607108101