人工智能赋能高中物理教学的路径探索与实践反思

Pathways and Practical Reflections on AI-Empowered Senior High School Physics Teaching

摘要: 在数智化转型的背景下，生成式人工智能为高中物理课堂教学注入了新的活力。本文基于教学评一致性原则，系统探讨人工智能在高中物理教学中的实践路径，主要包括跨学科资源的整合与情境化课程设计、智能化虚拟实验与动画视频的辅助教学、面向学生个性化需求的精准答疑与定制化学习方案，以及基于大数据的形成性评价与反馈机制。此外，本文还进一步从教师专业发展、学生自主调控能力提升以及技术治理三个维度，分析人工智能在实际应用中面临的障碍，并提出应对策略。

Abstract: Against the backdrop of digital and intelligent transformation, generative artificial intelligence has brought new vitality to senior high school physics teaching. Grounded in the principle of alignment among teaching, learning, and assessment, this paper systematically explores practical pathways for integrating artificial intelligence into physics instruction at the senior high school level. These pathways include the integration of interdisciplinary resources and contextualized curriculum design, instructional support through intelligent virtual experiments and animated videos, precise question-answering services and customized learning plans tailored to students’ individual needs, as well as formative assessment and feedback mechanisms supported by big data. Furthermore, this paper analyzes the challenges encountered in the practical application of artificial intelligence from three perspectives: teachers’ professional development, the enhancement of students’ self-regulation abilities, and technological governance, while also proposing corresponding strategies to address these challenges.