Assessing the Technical Competence of Administrators and Teachers in Arduino Robotics in Secondary Schools in Candon City

Authors

  • Nel Bryan Tugelida Don Mariano Marcos Memorial State University-North La Union Campus Author
  • Arreojn Lloyd G. Manzano Author

DOI:

https://doi.org/10.64358/yja0dr47

Keywords:

Arduino robotics, competence, readiness, secondary schools, STEM education

Abstract

This study examined the demographic profiles and technical competence of school administrators and teachers in Arduino Robotics in secondary schools in Candon City, Ilocos Sur. A descriptive quantitative research design was employed. A total of 86 respondents, comprising seven school administrators and 79 teachers, were included using total enumeration sampling. Data gathered through a validated survey tool were analyzed using frequency distributions, percentage calculations, and weighted mean computations. The results revealed that the preponderance of administrators were within the 40–49-year age range, were female, married, and had accrued more than 10 years of teaching experience. In contrast, most teachers were between 30 and 39 years old, mostly female, and held the Teacher III position. Their main subjects were Science and TLE/TVL. Findings further showed that the overall level of technical competence of the respondents in Arduino Robotics was slightly competent (grand mean = 1.83), with relatively higher competence in electronics fundamentals and Arduino programming, but lower competence in embedded systems, sensor integration, IoT communication, robotics assembly, and project development.

References

Aliyu, H. (2025, July 3). Assessing Science Teacher Competencies -. Rima International Journal of Education (RIJE). https://rijessu.com/volume-4/assessing-science-teacher-competencies-for-educational-robotics-integration-in-nigerian-unity-secondary-schools/

ASEAN.org. (2024). ASEAN Smart Cities Network reaffirms commitment to drive smart, sustainable urban development. Asean.org. https://asean.org/asean-smart-cities-network-reaffirms-commitment-to-drive-smart-sustainable-urban-development/

ASEAN Smart Cities Network. (2024). ASCN Monitoring and Evaluation Report 2024.

Dat, N. D., Bien, N. V., To, T., Viet, T., Thai, T., & Phuong, T. (2024). Arduino-Based Experiments: Leveraging Engineering Design and Scientific Inquiry in STEM Lessons. International Journal of STEM Education for Sustainability, 4(1), 38–53. https://doi.org/10.53889/ijses.v4i1.317

Education GPS. (2024). Philippines - Student performance (PISA 2022). Gpseducation.oecd.org. https://gpseducation.oecd.org/CountryProfile?primaryCountry=PHL&topic=PI&treshold=5

FIRST Robotics. (2023). 2023 Season Facts Kit of Parts Facts. https://www.firstinspires.org/sites/default/files/uploads/hero_headers/first-frc23-seasonfacts.pdf

García-Tudela, P. A., & Marín-Marín, J.-A. (2023). Use of Arduino in Primary Education: A Systematic Review. Education Sciences, 13(2), 134. https://doi.org/10.3390/educsci13020134

Global Growth Insights. (2025). Educational Robots Market Size, Share, & Trends Analysis -2034. Globalgrowthinsights.com. https://www.globalgrowthinsights.com/market-reports/educational-robots-market-104982

Gonzales, M., Andal, E., Ching, D., Gaffud, M., & Tabo, E. (2021). Assessing the Efficacy of RoboTeach Extension Project on Public School Teachers. International Journal of Educational Management and Development Studies, 2(3), 78–100. https://doi.org/10.53378/348742

Grand View Research. (2024). Educational Robots Market Size Report, 2021-2028. Www.grandviewresearch.com. https://www.grandviewresearch.com/industry-analysis/educational-robots-market-report

Gratani, F., & Giannandrea, L. (2022). Towards 2030. Enhancing 21st century skills through educational robotics. Frontiers in Education, 7. https://doi.org/10.3389/feduc.2022.955285

Indira Abdullaeva Yuldashevna, & Khurana, K. (2024). The Impediments to the Process of Implementing Robotics in the School Education System in Uzbekistan. SAGE Open, 14(2). https://doi.org/10.1177/21582440241254595

José-Antonio Marín-Marín, Pedro Antonio García-Tudela, & Duo-Terrón, P. (2024). Computational thinking and programming with Arduino in education: A systematic review for secondary education. Heliyon, 10(8), e29177–e29177. https://doi.org/10.1016/j.heliyon.2024.e29177

Rahman, S. M. M. (2021). Assessing and Benchmarking Learning Outcomes of Robotics-Enabled STEM Education. Education Sciences, 11(2), 84. https://doi.org/10.3390/educsci11020084

Samkelisiwe Purity Phokoye, Ayogeboh Epizitone, Ntando Nkomo, Mthalane, P. P., & Nombuso Phamela Zondi. (2024). Exploring the Adoption of Robotics in Teaching and Learning in Higher Education Institutions. Informatics, 11(4), 91. https://doi.org/10.3390/informatics11040091

Wolniak, R. (2023). Smart mobility in smart city – Copenhagen and Barcelona comparision. Zeszyty Naukowe, 2023(172). https://doi.org/10.29119/1641-3466.2023.172.41

World Economic Forum. (2025). Future of Jobs Report 2025.

World Robot Olympiad. (2024). WRO Association Member Countries. https://wro-association.org/about-wro/association/member-countries/

World Robot Olympiad. (2024). WRO International Final 2024. https://scoring.wro-association.org/en/event/scoring/182

Zadorozhnii, V. M. (2024). Using Arduino to develop research competencies of students in school physics education. CTE Workshop Proceedings, 11(2024), 427–441. https://doi.org/10.55056/cte.663

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Published

2026-03-31