摘要
数据处理能力是高校物理实验教学的核心培养目标之一,对学生科学思维发展与实践能力提升意义重大。目前,物理实验教学在数据处理方面存在不少问题,包括数据采集缺乏规范、误差分析不够系统、跨学科知识融合不足等。针对这些问题,文章提出了优化实验教学设计,强化数据采集的规范性;加强误差分析训练,培养学生严谨的科学态度;深化实验实践环节,提升学生的数据分析能力;组织小组研讨活动,促进学生数据思维的碰撞;融合跨学科知识,拓宽学生的数据应用视野;完善教学评价体系,激励学生提升数据处理能力等多元策略,以全面提高学生的数据处理能力,推动其科研素养与创新意识的发展。
Data processing ability is one of the core training objectives of physics experimental teaching in universities,which is of great significance for the development of students'scientific thinking and practical abilities.At present,there are many problems in data processing in physics experiment teaching,including lack of standardization in data collection,insufficient systematic error analysis,and insufficient integration of interdisciplinary knowledge.In response to these challenges,the article proposes optimizing experimental teaching design and strengthening the standardization of data collection;Strengthen error analysis training and cultivate students'rigorous scientific attitude;Deepen the experimental practice process and enhance students'data analysis skills;Organize group discussion activities to promote the collision of students'data thinking;Integrating interdisciplinary knowledge to broaden students'perspectives on data applications;Improving the teaching evaluation system,incentivizing students to enhance their data processing abilities,and implementing multiple strategies to comprehensively improve students'data processing skills,promote the development of their scientific research literacy and innovation consciousness.
作者
张璐
ZHANG Lu(The College of Post and Telecommunications of WIT,Wuhan,Hubei 430070)
出处
《科教导刊》
2025年第22期62-64,共3页
The Guide Of Science & Education
关键词
高校
物理实验教学
数据处理能力
colleges and universities
college physics experimental teaching
data processing ability
