Systemic Barriers and Enablers in Educational and Healthcare Technology Integration

Authors

  • Amar Amrullah Universitas Garut
  • Finta Amalinda Universitas Muhammadiyah Palu
  • Nurasyah Dewi Napitupulu Universitas Tadulako

Keywords:

Educational Technology, Healthcare Innovation, Community-Based Interventions, Policy Reform, Digital Equity, STEM Education, Global Health Access

Abstract

This narrative review explores the integration of emerging technologies in education and healthcare, focusing on their impact on service accessibility, instructional practices, and systemic challenges. The study aims to examine how tools such as Arduino kits, Python programming, and brain-computer interfaces are shaping educational and health outcomes. Literature was collected from major databases including Scopus, PubMed, and Google Scholar, using Boolean-based keyword strategies and systematic inclusion criteria to identify peer-reviewed studies from the past decade. Findings indicate that while educational technologies show promise in enhancing teaching and learner engagement, and assistive health tools can improve communication and mobility, their implementation is hindered by fragmented policies, infrastructural deficits, and socio-cultural barriers. Community-based approaches emerged as effective pathways to contextualize and sustain interventions, particularly in low-resource environments. However, evidence on policy coordination and long-term effectiveness remains limited. This study calls for adaptive policymaking, inclusive training programs, and expanded infrastructure support as critical measures to overcome current challenges. Future research should address gaps in empirical evidence through cross-country comparisons and longitudinal evaluations. By aligning innovation with systemic reform and community engagement, technology can become a catalyst for inclusive and sustainable transformation in global education and health systems.

References

Bhagwat, S., Deshmukh, M., Kachhioria, R., Bhavsar, R., & Pawar, B. (2025). SmartSignLearn: Technology-enabled educational tool for hearing-impaired. In Modern Digital Approaches to Care Technologies for Individuals With Disabilities (pp. 473–492). https://doi.org/10.4018/979-8-3693-7560-0.ch025

Chaer, I., Ozarisoy, B., Elnour Ismail, M. A., Salari, S., & Zhihui, Y. (2025). Energy efficiency in educational buildings: A systematic review of smart technology integration and occupant behaviour. Building and Environment, 280. https://doi.org/10.1016/j.buildenv.2025.113132

Chen, X. (2025). Research on the modern method of educational management based on virtual augmented reality interaction technology. GeoJournal, 90(3). https://doi.org/10.1007/s10708-025-11332-6

Dembovskiy, I., & Rodimtsev, S. (2024). Optimization of the current spray angle of the nozzles of the adaptive distribution system of a single-support boom sprayer. E3S Web of Conferences, 494, 04044. https://doi.org/10.1051/e3sconf/202449404044

Dosymov, Y., Usembayeva, I., Polatuly, S., Ramankulov, S., Kurbanbekov, B., Mintassova, A., & Mussakhan, N. (2023). Effectiveness of computer modeling in the study of electrical circuits: application and evaluation. International Journal of Engineering Pedagogy (IJEP, 13(4), 93–112. https://doi.org/10.3991/ijep.v13i4.34921

Kevorkijan, L., Lešnik, L., & Biluš, I. (2022). Cavitation erosion modelling on a radial divergent test section using RANS. Strojniški Vestnik – Journal of Mechanical Engineering, 68(2), 71–81. https://doi.org/10.5545/sv-jme.2021.7364

Kulkarni, A., & Joshi, V. B. (2025). Digital twin technology: Driving innovations in health monitoring and educational simulations. In Digital Twins for Smart Cities and Urban Planning: From Virtual to Reality (pp. 90–107). https://doi.org/10.1201/9781003510338-5

Kurt-Taspinar, H., & Tikiz-Erturk, G. (2025). The future classroom: Leveraging technology for enhanced educational practices. In Challenges in Teacher Education: Pedagogy, Management, and Materials (pp. 31–72). https://doi.org/10.4018/979-8-3693-7342-2.ch002

Kyslitsyn, V., Shevchenko, L., Umanets, V., Sikoraka, L., & Angelov, Y. (2024). Applying the python programming language and arduino robotics kits in the process of training future teachers of computer science. In Environment Technology Resources Proceedings of the International Scientific and Practical Conference (Vol. 2, pp. 162–167). https://doi.org/10.17770/etr2024vol2.8026

Liang, J. (2023). A study to analyze the importance of establishing a mathematical model for teaching college physics. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns.2023.2.01648

Lytvynko, A., Войтюк, О., Zvonkova, H., Stankova, M., Korniienko, O., Zabuga, A., Krylov, & M. (2021). The development of electrical and radio engineering: the role of M. In 2021 IEEE 11th International Conference on Electronics and Information Technologies (ELIT (pp. 599–603). https://doi.org/10.1109/ukrcon53503.2021.9575839

Mahasneh, J. K., Almigbel, T., Hamasha, A., & Al-Khdairat, M. (2025). Optimizing Retrofitting in Educational Institutions with IoT Integration by Analyzing a BIM-Based Energy Model: Jordan University of Science and Technology’s Case Study. Civil Engineering and Architecture, 13(3), 1898–1912. https://doi.org/10.13189/cea.2025.130333

Mulligan, C., Kumar, S. G., & Berti, G. (2025). Community-Based Resilience: Digital technologies for living within Planetary Boundaries. Technology in Society, 82. https://doi.org/10.1016/j.techsoc.2025.102915

Rolin, K. H. (2025). Resisting epistemic exploitation: From institutional remedies to community-based research. Studies in History and Philosophy of Science, 111, 63–71. https://doi.org/10.1016/j.shpsa.2025.05.005

Rossi, A., Orsini, F., Scorza, A., Botta, F., Belfiore, N., & Sciuto, S. (2018). A review on parametric dynamic models of magnetorheological dampers and their characterization methods. Actuators, 7(2), 16. https://doi.org/10.3390/act7020016

Ru, K. (2025). Research on AI-Assisted Teaching Strategies and Educational Technology System Models. Proceedings of 2024 3rd International Conference on Artificial Intelligence and Education, ICAIE 2024, 200–206. https://doi.org/10.1145/3722237.3722272

TANG, C. F., TAN, B. W., & SUKSONGHONG, K. (2025). Exploring the influence of information and communication technology, national leadership and educational quality on educational tourism demand. Humanities and Social Sciences Communications, 12(1). https://doi.org/10.1057/s41599-025-04935-4

Witkovský, V., & Frollo, I. (2020). Measurement science is the science of sciences - there is no science without measurement. Measurement Science Review, 20(1), 1–5. https://doi.org/10.2478/msr-2020-0001

Yarmohammadian, M. H., Akbari, F., Zavare, A. S. N., & Rezaei, F. (2025). Community-based Disaster Preparedness; A Training Program Based on Needs Assessment. Health in Emergencies and Disasters Quarterly, 10(2), 131–142. https://doi.org/10.32598/hdq.10.2.562.2

Zaremohzzabieh, Z., Ahrari, S., Abdullah, H., Abdullah, R., & Moosivand, M. (2025). Effects of educational technology intervention on creative thinking in educational settings: a meta-analysis. Interactive Technology and Smart Education, 22(2), 235–265. https://doi.org/10.1108/ITSE-11-2023-0224

Zhang, X., Lu, Z., Zhang, T., Li, H., Wang, Y., & Qing, T. (2021). Realizing the application of EEG modeling in BCI classification: based on a conditional GAN converter. Frontiers in Neuroscience, 15. https://doi.org/10.3389/fnins.2021.727394

Downloads

Published

2025-11-12

How to Cite

Amrullah, A., Amalinda, F., & Napitupulu, N. D. (2025). Systemic Barriers and Enablers in Educational and Healthcare Technology Integration. IndoPhysics : Jurnal Ilmu Fisika, 1(1), 1–13. Retrieved from https://journal.idscipub.com/index.php/indophysics/article/view/575