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arXiv 0709.2738physics.ed-ph
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实时数据收集对基于代数的物理学导论的影响

Impacts of real-time data collection on introductory algebra-based physics

Eric Brewe, Vashti Sawtelle, Priscilla Pamela

摘要:

包括实时数据收集技术是升级物理实验室的常见做法,并且假设这种技术可以提高学生的学习,但很少有人证明技术的效果。具体的活动已被证明是由技术增强,但对类作为一个整体的影响一直未被探索。本文探讨了技术对两个代数为基础的物理导论课的影响。在本文中,我们使用FCI,MPEX,调查和人种学记录的实时数据收集技术被纳入建模物理类的学习的改善。所研究的两个班级的不同之处仅在于是否包含技术。发现的结果是显著的。在高科技班的学生比在没有技术的班级的学生学到了更多的东西。本文探讨了学习的收获,并将其与技术的增加直接联系起来。

英文摘要:

Including real-time data collection technology is a common practice to upgrade physics labs, and the assumption is such technology improves student learning, yet little has been done to demonstrate the effects of technology. Specific activities have been shown to be enhanced by technology, but the effects on the class as a whole has been left unexplored. This paper investigates the effects of technology on two algebra based introductory physics classes. In this paper, we use FCI, MPEX, surveys, and ethnographies to document the improvement in learning as real-time data collection technology is incorporated into a modeling physics class. The two classes examined differed only in the inclusion of technology. The results found were significant. Students in the class with high technology were found to have learned more than students in the class with no technology. This paper explores the gains in learning and relates them directly to the addition of technology.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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