AI赋能的任务型教学评一体化：学科思政融入高中英语的跨文化路径研究

AI-Empowered Task-Based Integration of Teaching, Learning, and Assessment: A Cross-Cultural Pathway for Integrating Ideological and Political Education into Senior High School English

摘要: 在学科思政意识和教育数字化转型的双重背景下，如何将学科思政意识系统、有效地融入英语教育全过程，仍是亟待解决的实践难题。现有英语课程中的“课程思政”常存在内容碎片化、评价缺失、学生被动接收等问题。本研究提出一个融合人工智能(AI)、任务型教学法(TBLT)、跨文化交际与教学评一体化的教学设计模型，以“讲好文化故事”为核心任务，贯穿课前、课中、课后全流程。研究构建了三阶段教学框架，设计了包含“文化认同意识”专项指标的评价量规，并提供了10个可融入课堂的共同体故事素材及AI工具使用指南。本研究不依赖实验条件，为高中英语课程思政提供可复制、可推广的操作路径。

Abstract: Against the dual backdrop of subject-based ideological and political education and the digital transformation of education, how to systematically and effectively integrate ideological and political content into the entire process of English teaching remains an urgent practical challenge. Existing “curriculum-based ideological and political education” in English courses often suffers from fragmented content, lack of assessment, and passive student reception. This study proposes an instructional design model that integrates artificial intelligence (AI), task-based language teaching (TBLT), cross-cultural communication, and the integration of teaching, learning, and assessment. Centered on the core task of “telling cultural stories well,” the model spans the entire process of pre-class, in-class, and post-class activities. The research constructs a three-stage teaching framework, designs an evaluation rubric with a specific indicator for “Sense of Cultural Identity,” and provides ten community-themed story materials that can be readily incorporated into classrooms, along with a guide to AI tools. This study does not rely on experimental conditions and offers a replicable and scalable operational pathway for integrating ideological and political education into senior high school English courses.