树莓派在物理实验室中的实时数据记录和在线曲线拟合

Wing-Kwong Wong, Kai-Ping Chen, Jia-Wei Lin
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引用次数: 1

摘要

PISA 2015的结果显示,台湾学生拥有优秀的数学和科学知识,但应用这些知识和在实验室进行实际实验的能力较弱。为了支持学生在物理实验室进行实际实验,开发了一个实时数据记录系统和一个在线实验数据拟合工具。在实验记录数据的过程中,数据会被立即绘制出来,这样学生就可以观察到绘制出来的特征。在线曲线拟合系统采用物联网技术,学生可以将实验数据拟合到各种数学函数中,并绘制出叠加在数据上的函数曲线。两项实证研究涉及大学一年级学生和中学教师。结果表明,这些开发的工具提高了学生对实验数学特征的理解。学生和教师的平均曲线拟合错误率分别为4.62%和1.4%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-Time Data Logging and Online Curve Fitting Using Raspberry Pi in Physics Laboratories
The results of PISA 2015 indicate that Taiwanese students have excellent mathematical and scientific knowledge but are weak in applying such knowledge and in conducting practical experiments in the laboratory. To support students conducting practical experiments in physics laboratories, a real-time data logging system and an online tool for fitting experimental data were developed. During data logging in an experiment, the data was immediately plotted, which enabled students to observe the characteristics of the plot. The online curve fitting system, which employed Internet of Things technologies, allowed students to fit experimental data to various mathematical functions and plot a function curve superimposed on the data. Two empirical studies were conducted involving first-year university students and secondary school teachers. The results indicated that these developed tools improved students' understanding of an experiment's mathematical characteristics. The average curve fitting error rates of students and teachers were 4.62% and 1.4%, respectively.
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