{"title":"Fostering Engineering Troubleshooting Proficiency: A Real-World Scenario-Based Electrical Training Hardware Using Embedded System","authors":"Rona Riantini;Mochamad Hariadi;Supeno Mardi Susiki Nugroho;Diah Puspito Wulandari;Wahyu Suci Rohqani","doi":"10.1109/TE.2025.3559953","DOIUrl":null,"url":null,"abstract":"Contribution: This article proposes the systematic integration of embedded systems into training hardware to bridge the gap in structured troubleshooting education. Traditional methods often rely on manual explanations, virtual simulations, or on-the-job training, which lack structured learning experiences. The proof-of-work module, developed based on the proposed framework, effectively simulates challenging scenarios, providing real-life troubleshooting experiences that significantly increase motivation for further learning. Background: Troubleshooting competence is typically acquired through experiential engagement and unforeseen challenges, rarely structured as a deliberate educational endeavor. Simulating real problematic conditions also poses challenges due to their complexity or potential dangers. Intended Outcome: A framework that facilitates the representation of real-life troubleshooting situations using hardware prototypes with multiple scenarios. A proven implementation, a ship’s electrical earth fault troubleshooting training hardware, exemplifies the utilization of embedded systems using the proposed framework. Application Design: Experiential Learning is commonly used to develop troubleshooting proficiency. Providing deliberate multiple scenarios through training hardware will give much more experience than unforeseen challenges in job training. Findings: The findings demonstrated statistically significant benefits of the new hardware with the embedded system in increasing user interest for further learning and product presentation, with a 95% confidence interval and significant differences adjusted p-values = 0.049. It provides evidence of embedded systems’ effectiveness and suggests their potential applications in engineering education, particularly in the electrical engineering field.","PeriodicalId":55011,"journal":{"name":"IEEE Transactions on Education","volume":"68 3","pages":"303-311"},"PeriodicalIF":2.0000,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Education","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10979441/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EDUCATION, SCIENTIFIC DISCIPLINES","Score":null,"Total":0}
引用次数: 0
Abstract
Contribution: This article proposes the systematic integration of embedded systems into training hardware to bridge the gap in structured troubleshooting education. Traditional methods often rely on manual explanations, virtual simulations, or on-the-job training, which lack structured learning experiences. The proof-of-work module, developed based on the proposed framework, effectively simulates challenging scenarios, providing real-life troubleshooting experiences that significantly increase motivation for further learning. Background: Troubleshooting competence is typically acquired through experiential engagement and unforeseen challenges, rarely structured as a deliberate educational endeavor. Simulating real problematic conditions also poses challenges due to their complexity or potential dangers. Intended Outcome: A framework that facilitates the representation of real-life troubleshooting situations using hardware prototypes with multiple scenarios. A proven implementation, a ship’s electrical earth fault troubleshooting training hardware, exemplifies the utilization of embedded systems using the proposed framework. Application Design: Experiential Learning is commonly used to develop troubleshooting proficiency. Providing deliberate multiple scenarios through training hardware will give much more experience than unforeseen challenges in job training. Findings: The findings demonstrated statistically significant benefits of the new hardware with the embedded system in increasing user interest for further learning and product presentation, with a 95% confidence interval and significant differences adjusted p-values = 0.049. It provides evidence of embedded systems’ effectiveness and suggests their potential applications in engineering education, particularly in the electrical engineering field.
期刊介绍:
The IEEE Transactions on Education (ToE) publishes significant and original scholarly contributions to education in electrical and electronics engineering, computer engineering, computer science, and other fields within the scope of interest of IEEE. Contributions must address discovery, integration, and/or application of knowledge in education in these fields. Articles must support contributions and assertions with compelling evidence and provide explicit, transparent descriptions of the processes through which the evidence is collected, analyzed, and interpreted. While characteristics of compelling evidence cannot be described to address every conceivable situation, generally assessment of the work being reported must go beyond student self-report and attitudinal data.