Smart Home Technology Integration and Technical Skills Readiness in Electrical Installation and Maintenance Instruction
DOI:
https://doi.org/10.5281/zenodo.21460427Keywords:
electrical installation and maintenance, internet of things, partial least squares structural equation modeling, smart home technology, technical skills readiness, vocational educationAbstract
This study investigated the integration of smart home technology and its contribution to technical skills readiness in Electrical Installation and Maintenance instruction at Mahatao National High School, Batanes. A cross-sectional explanatory-predictive design was employed, with participants selected through proportionate stratified random sampling. Data were collected using a validated researcher-developed questionnaire that measured instructional demonstration, hands-on application, device and system configuration, testing and troubleshooting, performance-based assessment, and technical skills readiness. Partial Least Squares Structural Equation Modeling and importance-performance map analysis were used to evaluate the measurement and structural models. Results showed a high overall level of smart home technology integration and technical skills readiness. Learners demonstrated stronger readiness in electrical and system safety, tool utilization, and conventional installation, while fault diagnosis and smart device configuration remained less developed. All dimensions of technology integration significantly predicted technical skills readiness and jointly explained 64.3% of its variance. Testing and troubleshooting produced the strongest predictive effect but received the lowest performance score, identifying it as the primary area for instructional improvement. The findings indicate that technical readiness is strengthened when smart home concepts are translated into practical configuration, testing, diagnosis, and corrective tasks. The study recommends expanding fault-based laboratory activities, teacher training, equipment provision, connectivity support, and performance assessments that integrate wiring, automation, safety, and troubleshooting.
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Alaa, M., Zaidan, A. A., Zaidan, B. B., Talal, M., & Kiah, M. L. M. (2017). A review of smart home applications based on Internet of Things. Journal of Network and Computer Applications, 97, 48–65. doi:10.1016/j.jnca.2017.08.017
Antonietti, C., Cattaneo, A., & Amenduni, F. (2022). Can teachers’ digital competence influence technology acceptance in vocational education? Computers in Human Behavior, 132, Article 107266. doi:10.1016/j.chb.2022.107266
Asian Development Bank. (2021). Technical and vocational education and training in the Philippines in the age of Industry 4.0. doi:10.22617/TCS210084
Cattaneo, A. A. P., Antonietti, C., & Rauseo, M. (2022). How digitalised are vocational teachers? Assessing digital competence in vocational education and looking at its underlying factors. Computers & Education, 176, Article 104358. doi:10.1016/j.compedu.2021.104358
Dake, D. K., Bada, G. K., & Dadzie, A. E. (2023). Internet of Things (IoT) applications in education: Benefits and implementation challenges in Ghanaian tertiary institutions. Journal of Information Technology Education: Research, 22, 311–338. doi:10.28945/5183
Department of Education. (2019, April 12). K to 12 senior high school TVL industrial arts specialized subject curriculum guide: Electrical Installation and Maintenance NC II for Grade 12 [Curriculum guide]. DepEd Learning Portal.
Findeisen, S., & Wild, S. (2022). General digital competences of beginning trainees in commercial vocational education and training. Empirical Research in Vocational Education and Training, 14, Article 2. doi:10.1186/s40461-022-00130-w
Hair, J. F., Jr., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). SAGE Publications.
Jeon, S. (2025). How can innovative technologies transform vocational education and training: Insights for Ukraine. OECD Publishing. doi:10.1787/fb40f416-en
Mocrii, D., Chen, Y., & Musilek, P. (2018). IoT-based smart homes: A review of system architecture, software, communications, privacy and security. Internet of Things, 1–2, 81–98. doi:10.1016/j.iot.2018.08.009
Organisation for Economic Co-operation and Development. (2023). Building future-ready vocational education and training systems. OECD Publishing. doi:10.1787/28551a79-en
Rao, A. R., & Elias-Medina, A. (2024). Designing an internet of things laboratory to improve student understanding of secure IoT systems. Internet of Things and Cyber-Physical Systems, 4, 154–166. doi:10.1016/j.iotcps.2023.10.002
Raza, A., Jingzhao, L., Ghadi, Y., Adnan, M., & Ali, M. (2024). Smart home energy management systems: Research challenges and survey. Alexandria Engineering Journal, 92, 117–170. doi:10.1016/j.aej.2024.02.033
Ringle, C. M., & Sarstedt, M. (2016). Gain more insight from your PLS-SEM results: The importance-performance map analysis. Industrial Management & Data Systems, 116(9), 1865–1886. doi:10.1108/IMDS-10-2015-0449
Spöttl, G., & Windelband, L. (2021). The 4th industrial revolution: Its impact on vocational skills. Journal of Education and Work, 34(1), 29–52. doi:10.1080/13639080.2020.1858230
Tan, X., Lin, X., & Zhuang, R. (2024). Development and validation of a secondary vocational school students’ digital learning competence scale. Smart Learning Environments, 11, Article 37. doi:10.1186/s40561-024-00325-6
Wild, S., & Schulze Heuling, L. (2020). How do the digital competences of students in vocational schools differ from those of students in cooperative higher education institutions in Germany? Empirical Research in Vocational Education and Training, 12, Article 5. doi:10.1186/s40461-020-00091-y
Zubizarreta Pagaldai, A., Cattaneo, A., Imaz Agirre, A., & Marín, V. I. (2025). Factors influencing the digital competence of students in basic vocational education training. Empirical Research in Vocational Education and Training, 17, Article 19. doi:10.1186/s40461-025-00198-0
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