Enhancing Digital Learning in Electrical Machines Practical Course Using a Cutting-Edge Desktop Virtual Laboratory for DC Motor Simulation
Enhancing Digital Learning in Electrical Machines Practical Course Using a Cutting-Edge Desktop Virtual Laboratory for DC Motor Simulation
Author(s): Rohjai Badarudin, Didik Hariyanto, Edy Supriyadi, Istanto Wahyu Djatmiko, Amelia Fauziah Husna, Gulzhaina K. Kassymova, Yanning LuSubject(s): Electronic information storage and retrieval
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: Effectiveness; electrical machines; digital learning; quasi-experimental; virtual laboratory
Summary/Abstract: This study investigates the development and efficacy of a virtual DC motor laboratory aimed at enhancing practical learning in electrical machines. Key aspects of the literature review emphasize the increasing adoption of digital simulations in education and the effectiveness of virtual labs in technical training. The primary research question is whether the virtual simulator can achieve learning outcomes comparable to traditional physical laboratory tools. Hypotheses posit that students using the virtual DC motor laboratory will demonstrate equivalent learning outcomes compared to those using traditional teaching aids. The study employs a quasi-experimental design following the ADDIE model for development, with a sample size of 32 students—19 in the control group and 13 in the experimental group. Results indicate significant improvements in learning outcomes across both groups, with no statistically significant difference observed between the virtual simulator and traditional methods in post-test assessments. These findings underscore the equivalence of virtual and physical tools in enhancing practical learning in electrical machine practice. Virtual labs offer scalable solutions for educational institutions seeking to modernize their curriculum, crucial in preparing students with relevant skills for the evolving demands of the workforce in electrical engineering and related fields.
Journal: TEM Journal
- Issue Year: 13/2024
- Issue No: 3
- Page Range: 2522-2533
- Page Count: 12
- Language: English