人工智能助力大学物理实验教学应用场景分析

Analysis of Application Scenarios of Artificial Intelligence Facilitating University Physics Experiment Teaching

摘要: 大学物理实验作为培养学生科学思维和创新能力的重要载体和核心实践环节，具有不可替代的地位和作用。本文顺应数智化教育发展的态势，结合传统大学物理实验教学中存在的痛点问题，从学生和教师两个层面，课前、课中、课后三个环节综合考量分析了人工智能助力大学物理实验教学预习提质增效、课堂改革创新、课后智辅精析的有效举措，并分析了人工智能使用的局限性，实现教学资源的高效利用，帮助教师优化教学效果，让培养学生探究思维和创新能力有效落地。

Abstract: College physics experiments, as an important carrier and core practical link for cultivating students’ scientific thinking and innovation ability, hold an irreplaceable position and play an irreplaceable role. This article conforms to the development trend of digital and intelligent education, and in combination with the pain points existing in traditional college physics experiment teaching, comprehensively considers and analyzes the effective measures of artificial intelligence to assist in improving the quality and efficiency of college physics experiment teaching preview, classroom reform and innovation, and intelligent auxiliary analysis after class from the perspectives of both students and teachers, and the three links of before class, during class, and after class, so as to achieve the efficient utilization of teaching resources. Help teachers optimize teaching effectiveness and effectively implement the cultivation of students’ inquiry-based thinking and innovative abilities.