利用增强现实技术和引导探究的主动学习方法教授分布式力

IF 2 3区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computer Applications in Engineering Education Pub Date : 2023-12-10 DOI:10.1002/cae.22703
James W. Giancaspro, Diana Arboleda, Nam J. Kim, Seulki J. Chin, Jennifer C. Britton, Walter G. Secada
{"title":"利用增强现实技术和引导探究的主动学习方法教授分布式力","authors":"James W. Giancaspro,&nbsp;Diana Arboleda,&nbsp;Nam J. Kim,&nbsp;Seulki J. Chin,&nbsp;Jennifer C. Britton,&nbsp;Walter G. Secada","doi":"10.1002/cae.22703","DOIUrl":null,"url":null,"abstract":"<p>Mastering the concept of distributed forces is vital for students who are pursuing a major involving engineering mechanics. Misconceptions related to distributed forces that are typically acquired in introductory Physics courses should be corrected to increase student success in subsequent mechanics coursework. The goal of this study was to develop and assess a guided instructional activity using augmented reality (AR) technology to improve undergraduate engineering students' understanding of distributed forces. The AR app was accompanied by a complementary activity to guide and challenge students to model objects as beams with progressively increasing difficulty. The AR tool allowed students to (a) model a tabletop as a beam with multiple distributed forces, (b) visualize the free body diagram, and (c) compute the external support reactions. To assess the effectiveness of the activity, 43 students were allocated to control and treatment groups using an experimental nonequivalent groups preactivity/postactivity test design. Of the 43 students, 35 participated in their respective activity. Students in the control group collaborated on traditional problem-solving, while those in the treatment group engaged in a guided activity using AR. Students' knowledge of distributed forces was measured using their scores on a 10-item test instrument. Analysis of covariance was utilized to analyze postactivity test scores by controlling for the preactivity test scores. The treatment group demonstrated a significantly greater improvement in postactivity test scores than that of the control group. The measured effect size was 0.13, indicating that 13% of the total variance in the postactivity test scores can be attributed to the activity. Though the effect size was small, the results suggest that a guided AR activity can be more effective in improving student learning outcomes than traditional problem-solving.</p>","PeriodicalId":50643,"journal":{"name":"Computer Applications in Engineering Education","volume":"32 2","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An active learning approach to teach distributed forces using augmented reality with guided inquiry\",\"authors\":\"James W. Giancaspro,&nbsp;Diana Arboleda,&nbsp;Nam J. Kim,&nbsp;Seulki J. Chin,&nbsp;Jennifer C. Britton,&nbsp;Walter G. Secada\",\"doi\":\"10.1002/cae.22703\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Mastering the concept of distributed forces is vital for students who are pursuing a major involving engineering mechanics. Misconceptions related to distributed forces that are typically acquired in introductory Physics courses should be corrected to increase student success in subsequent mechanics coursework. The goal of this study was to develop and assess a guided instructional activity using augmented reality (AR) technology to improve undergraduate engineering students' understanding of distributed forces. The AR app was accompanied by a complementary activity to guide and challenge students to model objects as beams with progressively increasing difficulty. The AR tool allowed students to (a) model a tabletop as a beam with multiple distributed forces, (b) visualize the free body diagram, and (c) compute the external support reactions. To assess the effectiveness of the activity, 43 students were allocated to control and treatment groups using an experimental nonequivalent groups preactivity/postactivity test design. Of the 43 students, 35 participated in their respective activity. Students in the control group collaborated on traditional problem-solving, while those in the treatment group engaged in a guided activity using AR. Students' knowledge of distributed forces was measured using their scores on a 10-item test instrument. Analysis of covariance was utilized to analyze postactivity test scores by controlling for the preactivity test scores. The treatment group demonstrated a significantly greater improvement in postactivity test scores than that of the control group. The measured effect size was 0.13, indicating that 13% of the total variance in the postactivity test scores can be attributed to the activity. Though the effect size was small, the results suggest that a guided AR activity can be more effective in improving student learning outcomes than traditional problem-solving.</p>\",\"PeriodicalId\":50643,\"journal\":{\"name\":\"Computer Applications in Engineering Education\",\"volume\":\"32 2\",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2023-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Applications in Engineering Education\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/cae.22703\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Applications in Engineering Education","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cae.22703","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

摘要

掌握分布力的概念对于攻读工程力学专业的学生来说是至关重要的。通常在物理入门课程中获得的关于分布式力的误解应该纠正,以提高学生在后续力学课程中的成功。本研究的目的是开发和评估一个使用增强现实(AR)技术的指导性教学活动,以提高工科本科生对分布式力的理解。AR应用程序伴随着一个补充活动,指导和挑战学生将物体建模为难度逐渐增加的光束。AR工具允许学生(a)将桌面建模为具有多个分布力的梁,(b)可视化自由体图,以及(c)计算外部支撑反应。为了评估活动的有效性,43名学生被分配到对照组和实验组,使用实验非等效组活动前/活动后测试设计。在43名学生中,有35人参加了各自的活动。对照组的学生合作解决传统的问题,而治疗组的学生则使用AR进行指导活动。学生对分布式力的知识是通过他们在10项测试工具上的分数来衡量的。通过控制活动前测试成绩,采用协方差分析分析活动后测试成绩。治疗组在活动后测试成绩上的改善明显大于对照组。测量的效应大小为0.13,表明活动后测试分数中总方差的13%可归因于活动。虽然效应量很小,但结果表明,有指导的AR活动在提高学生学习成果方面比传统的解决问题更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
An active learning approach to teach distributed forces using augmented reality with guided inquiry

Mastering the concept of distributed forces is vital for students who are pursuing a major involving engineering mechanics. Misconceptions related to distributed forces that are typically acquired in introductory Physics courses should be corrected to increase student success in subsequent mechanics coursework. The goal of this study was to develop and assess a guided instructional activity using augmented reality (AR) technology to improve undergraduate engineering students' understanding of distributed forces. The AR app was accompanied by a complementary activity to guide and challenge students to model objects as beams with progressively increasing difficulty. The AR tool allowed students to (a) model a tabletop as a beam with multiple distributed forces, (b) visualize the free body diagram, and (c) compute the external support reactions. To assess the effectiveness of the activity, 43 students were allocated to control and treatment groups using an experimental nonequivalent groups preactivity/postactivity test design. Of the 43 students, 35 participated in their respective activity. Students in the control group collaborated on traditional problem-solving, while those in the treatment group engaged in a guided activity using AR. Students' knowledge of distributed forces was measured using their scores on a 10-item test instrument. Analysis of covariance was utilized to analyze postactivity test scores by controlling for the preactivity test scores. The treatment group demonstrated a significantly greater improvement in postactivity test scores than that of the control group. The measured effect size was 0.13, indicating that 13% of the total variance in the postactivity test scores can be attributed to the activity. Though the effect size was small, the results suggest that a guided AR activity can be more effective in improving student learning outcomes than traditional problem-solving.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Computer Applications in Engineering Education
Computer Applications in Engineering Education 工程技术-工程:综合
CiteScore
7.20
自引率
10.30%
发文量
100
审稿时长
6-12 weeks
期刊介绍: Computer Applications in Engineering Education provides a forum for publishing peer-reviewed timely information on the innovative uses of computers, Internet, and software tools in engineering education. Besides new courses and software tools, the CAE journal covers areas that support the integration of technology-based modules in the engineering curriculum and promotes discussion of the assessment and dissemination issues associated with these new implementation methods.
期刊最新文献
The Impact of Flipped Learning and Digital Laboratory in Basic Electronics Coursework Issue Information Empowering Computer Vision in Higher Education: A Novel Tool for Enhancing Video Coding Comprehension Issue Information Impact of basic artificial intelligence (AI) course on understanding concepts, literacy, and empowerment in the field of AI among students
×
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