Anastasia M K Schauer, Kenton B Fillingim, Anna Pavleszek, Michael Chen, Katherine Fu
{"title":"Comparing the effect of virtual and in-person instruction on students' performance in a design for additive manufacturing learning activity.","authors":"Anastasia M K Schauer, Kenton B Fillingim, Anna Pavleszek, Michael Chen, Katherine Fu","doi":"10.1007/s00163-022-00399-8","DOIUrl":null,"url":null,"abstract":"<p><p>The goal of this work is to compare the outcome of a design for additive manufacturing (DfAM) heuristics lesson conducted in a virtual learning environment to the same in an in-person learning environment. Prior work revealed that receiving DfAM heuristics at different points in the design process impacts the quality and novelty of designs produced afterward, but this work may have been limited by the solely virtual format. In this work, an identical experiment was performed in a face-to-face learning environment. Results indicate that neither learning format presents an advantage over the other when it comes to the quality of designs produced during the intervention. Participants across all experimental groups reported an increase in self-efficacy after the intervention, with improved performance on quiz-type questions. However, the novelty and variety of the designs produced by the in-person experimental groups were significantly lower than that of the virtual experimental groups. In addition to validating the effectiveness of virtual instruction as a teaching method, these results also support the authors' hypothesis that the priming effect is stronger in an in-person classroom than in a virtual classroom.</p>","PeriodicalId":49629,"journal":{"name":"Research in Engineering Design","volume":"33 4","pages":"385-394"},"PeriodicalIF":2.3000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434074/pdf/","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Engineering Design","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s00163-022-00399-8","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/9/1 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 5
Abstract
The goal of this work is to compare the outcome of a design for additive manufacturing (DfAM) heuristics lesson conducted in a virtual learning environment to the same in an in-person learning environment. Prior work revealed that receiving DfAM heuristics at different points in the design process impacts the quality and novelty of designs produced afterward, but this work may have been limited by the solely virtual format. In this work, an identical experiment was performed in a face-to-face learning environment. Results indicate that neither learning format presents an advantage over the other when it comes to the quality of designs produced during the intervention. Participants across all experimental groups reported an increase in self-efficacy after the intervention, with improved performance on quiz-type questions. However, the novelty and variety of the designs produced by the in-person experimental groups were significantly lower than that of the virtual experimental groups. In addition to validating the effectiveness of virtual instruction as a teaching method, these results also support the authors' hypothesis that the priming effect is stronger in an in-person classroom than in a virtual classroom.
期刊介绍:
Research in Engineering Design is an international journal that publishes research papers on design theory and methodology in all fields of engineering, focussing on mechanical, civil, architectural, and manufacturing engineering. The journal is designed for professionals in academia, industry and government interested in research issues relevant to design practice. Papers emphasize underlying principles of engineering design and discipline-oriented research where results are of interest or extendible to other engineering domains. General areas of interest include theories of design, foundations of design environments, representations and languages, models of design processes, and integration of design and manufacturing. Representative topics include functional representation, feature-based design, shape grammars, process design, redesign, product data base models, and empirical studies. The journal also publishes state-of-the-art review articles.