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Implementation of the E-Learning Model for Sustainability of Driver Rehabilitation Program

Author

Listed:
  • Nemanja Jovanov

    (Technical Faculty in Bor, University of Belgrade, 11000 Belgrade, Serbia)

  • Đorđe Vranješ

    (Environ Doo Beograd-Čukarica, 11030 Belgrade, Serbia)

  • Goran Jovanov

    (Department of Forensics, University of Criminal Investigation and Police Studies, 11080 Belgrade, Serbia)

  • Goran Otić

    (Military Medical Academy, 11000 Belgrade, Serbia)

  • Jovica Vasiljević

    (Secretariat for Public Transport, City Administration of Belgrade, 11000 Belgrade, Serbia)

  • Željko Petrić

    (Department for Traffic Engineering, University Privredna Akademija Brčko Distrikt, Petra Kočića br. 6, 76120 Brčko Distrikt, Bosnia and Herzegovina)

  • Stojan Aleksić

    (Faculty for Traffic Engineerig, International University of Brčko Distrikt, Pere Marjana, 76120 Brčko Distrikt, Bosnia and Herzegovina)

Abstract

In this work, we show the experience of the driver rehabilitation process in the Republic of Serbia, with the analysis of the rehabilitation process and the changing of the drivers’ attitudes. Before performing the analysis, we define the basic hypothesis (implementation of the sustainability model of E learning for the driver rehabilitation process will impact the driver attitude and minimize the mistakes). In the analysis, we take the most recognized mistakes in the process of education. Implementation of this model is exclusive for a group of candidates who finished the driver rehabilitation process. Using the database of drivers who made mistakes, we made the electronic database (video material with comments) and subsequently implemented the driver education model to assess who made mistakes in the rehabilitation process. In the test process, we used the two groups of candidates (age 18–30 and 31–40), before and after the implementation of this e-learning model. In order to process the data, taking into account the small number of observations further in the research, correlation analysis was used, which determines whether there is a correlation between the amount of alcohol in blood (expressed in g/kg) and the reaction time (in seconds) of a driver. In the second part of the work, correlation analysis was performed with the aim to examine which type of relation exists between the candidates who participated in the driver rehabilitation program and candidates that participated in the program of the proposed e-learning model. The results of this study offer a direction in which learning takes place by itself and affects the effective environment of e-learning, multimedia teaching, virtual practical content, and learning under the instruction of the lecturer in this target group of participants in the rehabilitation program. How many times have we believed that we have an ability and overestimated our-selves in that? You can be convinced in traffic only if you have to prove that ability. The results of the application of this model make it possible to prove that ability and change the opinion about the stated mistakes. The key goal of this work is to make the sustainability e-learning model based on mistakes, which will eliminate the same mistakes made by drivers. The result would be top training and high-quality performance in traffic.

Suggested Citation

  • Nemanja Jovanov & Đorđe Vranješ & Goran Jovanov & Goran Otić & Jovica Vasiljević & Željko Petrić & Stojan Aleksić, 2021. "Implementation of the E-Learning Model for Sustainability of Driver Rehabilitation Program," Sustainability, MDPI, vol. 13(20), pages 1-22, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:20:p:11484-:d:658722
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    References listed on IDEAS

    as
    1. Ruei-Jen Diana Fan & Paul Juinn Bing Tan, 2019. "Application of Information Technology in Preschool Aesthetic Teaching from the Perspective of Sustainable Management," Sustainability, MDPI, vol. 11(7), pages 1-24, April.
    2. Qiaoning Zhang & Xi Jessie Yang & Lionel P. Robert, 2021. "Drivers’ Age and Automated Vehicle Explanations," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
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