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Fostering Engineering Troubleshooting Proficiency: A Real-World Scenario-Based Electrical Training Hardware Using Embedded System

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Title: Fostering Engineering Troubleshooting Proficiency: A Real-World Scenario-Based Electrical Training Hardware Using Embedded System
Language: English
Authors: Rona Riantini (ORCID 0000-0003-0757-267X), Mochamad Hariadi (ORCID 0000-0002-2194-169X), Supeno Mardi Susiki Nugroho (ORCID 0000-0001-8109-6136), Diah Puspito Wulandari (ORCID 0009-0006-1400-8056), Wahyu Suci Rohqani
Source: IEEE Transactions on Education. 2025 68(3):303-311.
Availability: Institute of Electrical and Electronics Engineers, Inc. 445 Hoes Lane, Piscataway, NJ 08854. Tel: 732-981-0060; Web site: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=13
Peer Reviewed: Y
Page Count: 9
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Descriptors: Engineering Education, Troubleshooting, Engineering, Experiential Learning, Simulation, Competence, Vignettes, Computers
DOI: 10.1109/TE.2025.3559953
ISSN: 0018-9359
1557-9638
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.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1473796
Database: ERIC
FullText Text:
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  Data: Fostering Engineering Troubleshooting Proficiency: A Real-World Scenario-Based Electrical Training Hardware Using Embedded System
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  Data: <searchLink fieldCode="AR" term="%22Rona+Riantini%22">Rona Riantini</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-0757-267X">0000-0003-0757-267X</externalLink>)<br /><searchLink fieldCode="AR" term="%22Mochamad+Hariadi%22">Mochamad Hariadi</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-2194-169X">0000-0002-2194-169X</externalLink>)<br /><searchLink fieldCode="AR" term="%22Supeno+Mardi+Susiki+Nugroho%22">Supeno Mardi Susiki Nugroho</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-8109-6136">0000-0001-8109-6136</externalLink>)<br /><searchLink fieldCode="AR" term="%22Diah+Puspito+Wulandari%22">Diah Puspito Wulandari</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0006-1400-8056">0009-0006-1400-8056</externalLink>)<br /><searchLink fieldCode="AR" term="%22Wahyu+Suci+Rohqani%22">Wahyu Suci Rohqani</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22IEEE+Transactions+on+Education%22"><i>IEEE Transactions on Education</i></searchLink>. 2025 68(3):303-311.
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  Data: Institute of Electrical and Electronics Engineers, Inc. 445 Hoes Lane, Piscataway, NJ 08854. Tel: 732-981-0060; Web site: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=13
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  Data: 10.1109/TE.2025.3559953
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  Data: 0018-9359<br />1557-9638
– Name: Abstract
  Label: Abstract
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  Data: 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.
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