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Digital Training and Advanced Learning in Occupational Safety and Health Based on Modern and Affordable Technologies

Author

Listed:
  • Arso M. Vukićević

    (Faculty of Engineering, University of Kragujevac, 34000 Kragujevac, Serbia)

  • Ivan Mačužić

    (Faculty of Engineering, University of Kragujevac, 34000 Kragujevac, Serbia)

  • Marko Djapan

    (Faculty of Engineering, University of Kragujevac, 34000 Kragujevac, Serbia)

  • Vladimir Milićević

    (Faculty of Information Technology, Belgrade Metropolitan University, 11000 Belgrade, Serbia)

  • Luiza Shamina

    (Academic Development Department, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia)

Abstract

Occupational safety and health (OSH) is a very important issue for both practical purposes in industry and business due to numerous reasons, so a number of software, educational and industrial solutions are available. In this paper, the cloud-based mobile application for digital training and advanced learning in the field of occupational safety was presented. The proposed framework architecture was based on a novel approach: Node.JS for the server backend and the React Native for the front-end development; while MongoDB was used for implementing the cloud data storage using sensors that are all available on the Android platform. In the development of this application, a number of options were developed (using open-source software) such as the reading of a QR code, usage of built-in sensors within android platforms, reporting, and voice messages. The developed SafeST solution is presented through a real industry example. It emphasizes two main possibilities of the solution, improving OHS reporting and significant empowerment of the students in the OHS field based on the learning-by-doing approach. In this way, the additional engagement (identification, recording and reporting of UA/UC) of OSH managers has been reduced to a minimum, taking into account requested reports from management and authorities, and the continual training of the employees and preparation of the students for future working activities. The system was tested for educational purposes with the initial idea to develop an application for smartphones which could be useful and well adopted among engineering students in the OSH field.

Suggested Citation

  • Arso M. Vukićević & Ivan Mačužić & Marko Djapan & Vladimir Milićević & Luiza Shamina, 2021. "Digital Training and Advanced Learning in Occupational Safety and Health Based on Modern and Affordable Technologies," Sustainability, MDPI, vol. 13(24), pages 1-13, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:24:p:13641-:d:699064
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    References listed on IDEAS

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    1. Peng Lin & Qingbin Li & Qixiang Fan & Xiangyou Gao & Senying Hu, 2014. "A Real-Time Location-Based Services System Using WiFi Fingerprinting Algorithm for Safety Risk Assessment of Workers in Tunnels," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-10, April.
    2. Burke, M.J. & Sarpy, S.A. & Smith-Crowe, K. & Chan-Serafin, S. & Salvador, R.O. & Islam, G., 2006. "Relative effectiveness of worker safety and health training methods," American Journal of Public Health, American Public Health Association, vol. 96(2), pages 315-324.
    3. Rafael Sacks & Amotz Perlman & Ronen Barak, 2013. "Construction safety training using immersive virtual reality," Construction Management and Economics, Taylor & Francis Journals, vol. 31(9), pages 1005-1017, September.
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    Cited by:

    1. Swapnil Singh & Uma Shankar Singh & Malgorzata Nermend, 2022. "Sustainability in a Digitized Era Analyzing the Moderation Effect of Social Strata and Digital Capital Dependence on Digital Divide," Sustainability, MDPI, vol. 14(21), pages 1-22, November.
    2. Nicoleta Paula Neag & Maria Elena Boatca & Alin Gaureanu, 2023. "Remote Work Best Practices: The Case of OHS Training," Economic, Social and Environmental Sustainability; The Role of Technology and Political Dialogue,, ToKnowPress.

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