Physics Conceptual Understanding in a Computational Science Course

Rivka Taub, M. Armoni, M. Ben-Ari
{"title":"Physics Conceptual Understanding in a Computational Science Course","authors":"Rivka Taub, M. Armoni, M. Ben-Ari","doi":"10.22369/ISSN.2153-4136/9/2/1","DOIUrl":null,"url":null,"abstract":"Students face many difficulties dealing with physics principles and concepts during physics problem solving. For example, they lack the understanding of the components of formulas, as well as of the physical relationships between the two sides of a formula. To overcome these difficulties some educators have suggested integrating simulations design into physics learning. They claim that the programming process necessarily fosters understanding of the physics underlying the simulations. We investigated physics learning in a high-school course on computational science. The course focused on the development of computational models of physics phenomena and programming corresponding simulations. The study described in this paper deals with the development of students' conceptual physics knowledge throughout the course. Employing a qualitative approach, we used concept maps to evaluate students' physics conceptual knowledge at the beginning and the end of the model development process, and at different stages in between. We found that the students gained physics knowledge that has been reported to be difficult for high-school and even undergraduate students. We use two case studies to demonstrate our method of analysis and its outcomes. We do that by presenting a detailed analysis of two projects in which computational models and simulations of physics phenomena were developed.","PeriodicalId":330804,"journal":{"name":"The Journal of Computational Science Education","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Computational Science Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22369/ISSN.2153-4136/9/2/1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Students face many difficulties dealing with physics principles and concepts during physics problem solving. For example, they lack the understanding of the components of formulas, as well as of the physical relationships between the two sides of a formula. To overcome these difficulties some educators have suggested integrating simulations design into physics learning. They claim that the programming process necessarily fosters understanding of the physics underlying the simulations. We investigated physics learning in a high-school course on computational science. The course focused on the development of computational models of physics phenomena and programming corresponding simulations. The study described in this paper deals with the development of students' conceptual physics knowledge throughout the course. Employing a qualitative approach, we used concept maps to evaluate students' physics conceptual knowledge at the beginning and the end of the model development process, and at different stages in between. We found that the students gained physics knowledge that has been reported to be difficult for high-school and even undergraduate students. We use two case studies to demonstrate our method of analysis and its outcomes. We do that by presenting a detailed analysis of two projects in which computational models and simulations of physics phenomena were developed.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
计算科学课程中的物理概念理解
在解决物理问题的过程中,学生在处理物理原理和概念时面临许多困难。例如,他们缺乏对公式组成部分的理解,也不了解公式两边的物理关系。为了克服这些困难,一些教育家建议将模拟设计整合到物理学习中。他们声称,编程过程必然会促进对模拟背后的物理原理的理解。我们调查了高中计算科学课程中的物理学习。本课程着重于物理现象的计算模型的发展和相应的模拟编程。本文研究的是学生在整个课程中概念物理知识的发展。采用定性方法,我们使用概念图来评估学生在模型开发过程的开始和结束,以及在两者之间的不同阶段的物理概念知识。我们发现,学生们获得了据报道对高中生甚至本科生来说都很难的物理知识。我们使用两个案例研究来展示我们的分析方法及其结果。我们通过对两个项目的详细分析来做到这一点,在两个项目中,计算模型和物理现象的模拟被开发出来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Benchmarking Machine Learning Models on a Dielectric Constant Database for Bandgap Prediction Data Analytics Program in Community Colleges in Preparation for STEM and HPC Careers DeapSECURE Computational Training for Cybersecurity: Progress Toward Widespread Community Adoption Understanding Community Perspectives on HPC Skills and Training Pathways Intro to HPC Bootcamp: Engaging New Communities Through Energy Justice Projects
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1