{"title":"3D-Printing Virtual Simulation Lab","authors":"Ishant Singhal;Guru Ratan Satsangee;Lakshya Bhardwaj;Gaurang S. Sharma;Anand Swarup Chandrakar;Hritav Gupta;Gargi Malik;Bobby Tyagi;Ankit Sahai;Rahul Swarup Sharma","doi":"10.1109/TLT.2024.3384556","DOIUrl":null,"url":null,"abstract":"3D-printing (3DP) is a rapidly evolving sector and is advancing at an unmatched pace. Integrating digital-based approaches to disseminate knowledge within institutional curricula is crucial for mainstreaming knowledge. This work explores the development of a virtual lab (VL) for additive manufacturing (AM), using an interactive VL simulator. The VL's experiments encompass anatomy, assembly, techniques, preprocessing, and postprocessing modules on AM. The aim of this dedicated AM VL is to facilitate digital education on 3DP among educational institutions. A case study compares the efficacy of VL to physical experimentation. Two groups of 30 students each provided feedback before and after conducting experiments in the physical laboratory and on the VL, respectively. The comparison elucidates how integrating the VL with traditional teaching pedagogy can be a progressive step in teaching AM in educational institutions. The teaching pedagogy approach is both cost-effective and time efficient. The developed VL offers unlimited access and availability for students to learn at their own pace. The design of the 3DP virtual simulation lab incorporates an inclusive align–act–assess approach, wherein each module includes related theory, aim, procedure, simulator interface, pretest, and posttest to align with this approach.","PeriodicalId":49191,"journal":{"name":"IEEE Transactions on Learning Technologies","volume":"17 ","pages":"1530-1543"},"PeriodicalIF":2.9000,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Learning Technologies","FirstCategoryId":"95","ListUrlMain":"https://ieeexplore.ieee.org/document/10494560/","RegionNum":3,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
3D-printing (3DP) is a rapidly evolving sector and is advancing at an unmatched pace. Integrating digital-based approaches to disseminate knowledge within institutional curricula is crucial for mainstreaming knowledge. This work explores the development of a virtual lab (VL) for additive manufacturing (AM), using an interactive VL simulator. The VL's experiments encompass anatomy, assembly, techniques, preprocessing, and postprocessing modules on AM. The aim of this dedicated AM VL is to facilitate digital education on 3DP among educational institutions. A case study compares the efficacy of VL to physical experimentation. Two groups of 30 students each provided feedback before and after conducting experiments in the physical laboratory and on the VL, respectively. The comparison elucidates how integrating the VL with traditional teaching pedagogy can be a progressive step in teaching AM in educational institutions. The teaching pedagogy approach is both cost-effective and time efficient. The developed VL offers unlimited access and availability for students to learn at their own pace. The design of the 3DP virtual simulation lab incorporates an inclusive align–act–assess approach, wherein each module includes related theory, aim, procedure, simulator interface, pretest, and posttest to align with this approach.
期刊介绍:
The IEEE Transactions on Learning Technologies covers all advances in learning technologies and their applications, including but not limited to the following topics: innovative online learning systems; intelligent tutors; educational games; simulation systems for education and training; collaborative learning tools; learning with mobile devices; wearable devices and interfaces for learning; personalized and adaptive learning systems; tools for formative and summative assessment; tools for learning analytics and educational data mining; ontologies for learning systems; standards and web services that support learning; authoring tools for learning materials; computer support for peer tutoring; learning via computer-mediated inquiry, field, and lab work; social learning techniques; social networks and infrastructures for learning and knowledge sharing; and creation and management of learning objects.