Pedagogical Efficacy and Psychomotor Impact of Wokwi Simulation-Based Interactive E-Modules in Mechatronics Vocational Education

Amalia Septyani Amirullah 1 Indonesia , Ummiati Rahmah 1 Indonesia , Yasser Abd Djawad 1 Indonesia
1 Department of Mechatronics Vocational Education, Universitas Negeri Makassar, Indonesia
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Published 2026-09-04
Vol. 6 No. 1 (2026) PAGES 214-224
DOI 10.51574/ijrer.v6i1.5383
Views / Downloads 56 6

Hands-on sensory and transducer instruction in mechatronics vocational education often faces critical bottlenecks, including high hardware costs, component susceptibility to operational damage, and restricted physical laboratory hours. While virtual simulation tools have emerged as potential solutions, existing digital instructional media frequently lack structured pedagogical frameworks, functioning merely as digitized static manuals. This study evaluates the pedagogical efficacy, content validity, and user engagement of a novel interactive E-Module integrated with the Wokwi web-based simulator for higher education sensors and transducer practical courses. Utilizing a Research and Development (R&D) design grounded in the 4D model (Define, Design, Develop, Disseminate)—scoped to the Develop phase—and Tessmer's formative evaluation framework, the instructional media was systematically constructed and refined. Content validity was evaluated by an expert panel using Aiken’s Content Validity Index (V), yielding high content validity (V = 0.94 for material completeness; V = 0.91 for media usability). Formative testing across iterative phases—one-to-one evaluation (N=6), small-group trial (N=15), and field evaluation (N=25)—demonstrated significant progressive increases in student perceptual engagement and technical usability (mean scores rising from 78.05% to 89.57%). Quantitative synthesis confirms that integrating real-time Wokwi code execution bridges the gap between abstract circuit logic and physical sensor responses, substantially decreasing student cognitive load during micro-programming tasks. Limitations regarding the absence of haptic physical calibration and signal noise in pure virtual environments are critically acknowledged, offering clear empirical directions for blended laboratory implementation.

Amirullah, A. S., Rahmah, U., & Djawad, Y. A. (2026). Pedagogical Efficacy and Psychomotor Impact of Wokwi Simulation-Based Interactive E-Modules in Mechatronics Vocational Education . ETDC: Indonesian Journal of Research and Educational Review , 6(1), 214–224. https://doi.org/10.51574/ijrer.v6i1.5383
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  1. Abburi, R., Praveena, M., & Priyakanth, R. (2021). Tinkercad-a web based application for virtual labs to help learners think, create and make. Journal of Engineering Education Transformations, 535-541. https://doi.org/10.16920/jeet/2021/v34i0/157209
  2. Ahmadfard, M. (2026). Advancing open learning through interactive open educational resources. Discover Education, 5(1), 211. https://doi.org/10.1007/s44217-026-01236-z
  3. Alatalo, J., Torvela, J. E., & Liedes, T. (2025). Improving a practical course assignment for mechatronics education. International Journal of Mechanical Engineering Education, 53(3), 549-563. https://doi.org/10.1177/03064190241253427
  4. Asparuhova, K., Shehova, D., Asenov, S., Kanevski, H., & Parushev, A. (2024). Using WOKWI Simulator to Support Engineering Student Learning in Microcontrollers and Sensors. 2024 XXXIII International Scientific Conference Electronics (ET) (pp. 1-4). IEEE. https://doi.org/10.1109/ET63133.2024.10721553
  5. Cai, Z., Mao, P., Wang, D., He, J., Chen, X., & Fan, X. (2022). Effects of scaffolding in digital game-based learning on student’s achievement: A three-level meta-analysis. Educational psychology review, 34(2), 537-574. https://doi.org/10.1007/s10648-021-09655-0
  6. Castro-Alonso, J. C., De Koning, B. B., Fiorella, L., & Paas, F. (2021). Five strategies for optimizing instructional materials: Instructor-and learner-managed cognitive load. Educational Psychology Review, 33(4), 1379-1407. https://doi.org/10.1007/s10648-021-09606-9
  7. Chen, O., Paas, F., & Sweller, J. (2023). A cognitive load theory approach to defining and measuring task complexity through element interactivity. Educational Psychology Review, 35(2), 63. https://doi.org/10.1007/s10648-023-09782-w
  8. Chernyshev, M., Baig, Z., Bello, O., & Zeadally, S. (2017). Internet of things (iot): Research, simulators, and testbeds. IEEE Internet of Things Journal, 5(3), 1637-1647. https://doi.org/10.1109/JIOT.2017.2786639
  9. Chodakowska, E., & Polecki, A. (2025). Electronics and mechatronics education for the industry of the future− Insights from secondary vocational education in Poland. International Conference on Intelligent Systems in Production Engineering and Maintenance (pp. 104-118). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-99159-2_8
  10. Elakkiya, V., Jaspreet, V. B., Vignesh, M., Karani Shree, A., Lavanya, T., & Vinotheni, M. S. (2024). Exploring Wokwi's versatile simulation capabilities across microcontroller architectures. 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS) (Vol. 1, pp. 121-126). IEEE. https://doi.org/10.1109/ICACCS60874.2024.10716998
  11. Fan, C., Liu, X., Ling, R., & Si, B. (2018). Application of proteus in experimental teaching and research of medical electronic circuit. 2018 3rd International Conference on Modern Management, Education Technology, and Social Science (MMETSS 2018) (pp. 512-515). Atlantis Press. https://doi.org/10.2991/mmetss-18.2018.108
  12. Grodotzki, J., Ortelt, T. R., & Tekkaya, A. E. (2018). Remote and virtual labs for engineering education 4.0: achievements of the ELLI project at the TU Dortmund University. Procedia manufacturing, 26, 1349-1360. https://doi.org/10.1016/j.promfg.2018.07.126
  13. Hsieh, S. J. (2024). Interactive and Web-based Animation Modules and Case Studies for Automated System Design. ASEE Conferences. https://par.nsf.gov/biblio/10584736
  14. Jamshidi, R., & Milanovic, I. (2022). Building virtual laboratory with simulations. Computer Applications in Engineering Education, 30(2), 483-489. https://doi.org/10.1002/cae.22467
  15. Karadoğan, E., & Karadoğan, F. (2019). Simulation‐based learning modules for undergraduate engineering dynamics. Computer Applications in Engineering Education, 27(4), 846-862. https://doi.org/10.1002/cae.22114
  16. Krieglstein, F., Beege, M., Rey, G. D., Sanchez-Stockhammer, C., & Schneider, S. (2023). Development and validation of a theory-based questionnaire to measure different types of cognitive load. Educational Psychology Review, 35(1), 9. https://doi.org/10.1007/s10648-023-09738-0
  17. Li, J., & Liang, W. (2024). Effectiveness of virtual laboratory in engineering education: A meta-analysis. PloS one, 19(12), e0316269. https://doi.org/10.1371/journal.pone.0316269
  18. Liu, Z., Li, Z., Yu, X., & Luo, F. (2024). Exploration and Practice of Educational Mode That Integrates “Post-Course-Competition-Certificate” in Mechatronics Technology Profession of Higher Vocational College. Frontiers in Artificial Intelligence and Applications, 524. https://doi.org/10.3233/FAIA250470
  19. Mikuska, R., Keczán, L., Katona, K., Szarka, A. V., & Sarvajcz, K. (2025). New laboratory extension and development for mechatronics education. Measurement: Sensors, 38, 101320. https://doi.org/10.1016/j.measen.2024.101320
  20. Nisa, K., & Handayani, A. N. (2025). Development of virtual laboratory-based learning media on sensor and actuator device elements. Lectura: Jurnal Pendidikan, 16(1), 239-253. https://doi.org/10.31849/lectura.v16i1.25421
  21. Poschauko, V. C., Kreuzer, E., Hirz, M., & Pacher, C. (2024). Engineering education goes lifelong learning: Modularized technical vocational education and training program for the automotive sector. Procedia computer science, 232, 1799-1808. https://doi.org/10.1016/j.procs.2024.02.002
  22. Pramudita, R., Haritman, E., Rizqulloh, M. A., Hartopo, I., Purnama, W., Pawinanto, R. E., & Iglesias, A. R. (2026). Enhancing the Transformation of Electrical Engineering Learning in Vocational High Schools through WOKWI Web Simulation Training in Greater Bandung. REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat, 7(1), 20-29. https://doi.org/10.26760/rekaelkomika.v7i1.20-29
  23. Prathoomthong, R., Tanausavaphol, T., Deekaew, P., Klathae, T., & Masae, M. (2025). Development and validation of an interactive skill training kit for enhancing mechatronics professional competencies in industrial production processes. International Journal of Mechanical Engineering Education, 03064190251401180. https://doi.org/10.1177/03064190251401180
  24. Purba, S., Simamora, E., Sinaga, A. J., Simatupang, R. P. P., & Khaizar, Z. (2026). Penerapan Media Simulasi Wokwi dalam Meningkatkan Hasil Belajar Mahasiswa pada Mata Kuliah Sensor dan Transduser. Sinar Dunia: Jurnal Riset Sosial Humaniora dan Ilmu Pendidikan, 5(2), 93-110. https://doi.org/10.58192/sidu.v5i2.4405
  25. Ramnarain, U. (2026). A Systematic Review of Research on the Integration of Real and Virtual Laboratories for Inquiry-Based Learning. Practical Work in Science Education in the Digital Era: Challenges and Opportunities, 249-266. https://doi.org/10.1007/978-3-032-13788-3_18
  26. Salutina, T. Y., Platunina, G. P., & Frank, I. A. (2024). Development and Application of Interactive Educational Technologies in Training Students in Electrical and Electronic Engineering Specialties. 2024 Systems of Signals Generating and Processing in the Field of on Board Communications (pp. 1-5). IEEE. https://doi.org/10.1109/IEEECONF60226.2024.10496807
  27. Santos, G., Mandado, E., Silva, R., & Doiro, M. (2019). Engineering learning objectives and computer assisted tools. European Journal of Engineering Education, 44(4), 616-628. https://doi.org/10.1080/03043797.2018.1563585
  28. Schroeder, N. L., & Cenkci, A. T. (2018). Spatial contiguity and spatial split-attention effects in multimedia learning environments: A meta-analysis. Educational psychology review, 30(3), 679-701. https://doi.org/10.1007/s10648-018-9435-9
  29. Sukma, A. A., & Hikmawan, R. (2026). Development and Effectiveness of an Interactive Prompt Engineering E-Module to Enhance Vocational Students’ Learning Outcomes. Journal of Educational Sciences, 10(3), 772-790. https://doi.org/10.31258/jes.10.3.p.772-790
  30. Sweller, J. (2020). Cognitive load theory and educational technology: J. Sweller. Educational technology research and development, 68(1), 1-16. https://doi.org/10.1007/s11423-019-09701-3
  31. Tembrevilla, G., Phillion, A., & Zeadin, M. (2024). Experiential learning in engineering education: A systematic literature review. Journal of Engineering Education, 113(1), 195-218. https://doi.org/10.1002/jee.20575
  32. Wahyudi, M. N. A., Budiyanto, C. W., Widiastuti, I., Hatta, P., & bin Bakar, M. S. (2025). Exploring students’ perception of virtual laboratory adoption on an IoT course. TEM Journal, 14(2), 1531. https://www.ceeol.com/search/article-detail?id=1340936
  33. Widianto, M. H., & Putra, V. H. C. (2023). Utilization of Wokwi Simulation Application in Supporting Internet of Things Learning (IoT). 2023 International Conference on Information Management and Technology (ICIMTech) (pp. 807-812). IEEE. https://doi.org/10.1109/ICIMTech59029.2023.10277981

Copyright (c) 2026 Amalia Septyani Amirullah, Ummiati Rahmah, Yasser Abd Djawad

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Keywords
Cognitive Load Theory Formative Evaluation Interactive E-Module Vocational Education Wokwi Simulator