与时俱进：人工智能背景下的《传感器技术》课程翻转课堂教学探索
Adapting to the Times: Exploration of Flipped Classroom Teaching for the “Sensor Technology” Course in the Context of Artificial Intelligence

随着人工智能技术的迅猛发展，传统的教学模式正在经历前所未有的变革。本文以《传感器技术》课程为研究对象，探索在人工智能背景下融合翻转课堂理念的教学实践路径。以《传感器技术》课程为例，融合DeepSeek等AI平台，通过重构课堂教学流程，强化课前自主学习与课堂互动实践，提升学生在“学中做、做中思、思中创”的综合能力。从教学理念转变、教学模式重构、AI技术辅助教学设计等方面入手，深入分析翻转课堂在提升学生学习效果方面的积极作用。研究结果表明，基于人工智能背景的翻转课堂能够有效激发学生的学习主动性，提高知识掌握的深度与广度，增强工程实践能力，为工科类课程的教学改革提供了有益参考。
With the rapid advancement of artificial intelligence (AI) technologies, traditional teaching models are experiencing transformative changes. This study uses the Sensor Technology course as a case study to explore practical strategies for integrating the flipped classroom model within the context of AI-driven education. By incorporating AI tools such as DeepSeek into the course design, the teaching process is restructured to emphasize self-directed pre-class learning and interactive, application-oriented in-class activities. This approach aims to enhance students’ comprehensive competencies through the cycle of “learning by doing, reflecting during doing, and innovating through reflection”. Focusing on shifts in pedagogical philosophy, the restructuring of instructional models, and AI-supported instructional design, the study offers an in-depth analysis of the flipped classroom’s impact on student learning outcomes. The results demonstrate that the AI-enhanced flipped classroom effectively promotes active learning, facilitates deeper and broader knowledge acquisition, and strengthens practical engineering skills. These findings provide valuable insights for advancing reform in engineering education under the influence of AI technologies.