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Experiential Learning Approaches in Automotive Engineering: Implementing Real World Experiences

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The Challenges of the Digital Transformation in Education (ICL 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 916))

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Abstract

This work aims to contribute to employing of the computer-based simulation in the high education in Automotive Engineering for experiential learning. In order to design a set of simulation laboratory activities, a pedagogical approach is presented on basis of Kolb’s Experiential Learning Theory. The chosen content to be taught is vehicle dynamic with a focus on braking performance that is adapted and implemented in CarSim software. The pedagogical approach presented in this study can represent as a reference point for discussions in experiential learning environment for vehicle dynamics curriculum and automotive industrial standards, considering the use of the Kolb’s theory as a model for development of teaching-learning process and computer-based simulations as a teaching tool. As part of pedagogical proposal, this study is also focused on development of real world experiment as concrete experiment in topics related to automotive industries. Finally, some suggestions are recommended in order to help future works.

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Author information

Authors and Affiliations

  1. W Booth School of Engineering Practice and Technology, McMaster University, Hamilton, ON, Canada

    Moein Mehrtash & Dan Centea

Authors
  1. Moein Mehrtash
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  2. Dan Centea
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Corresponding author

Correspondence to Moein Mehrtash .

Editor information

Editors and Affiliations

  1. Carinthia University of Applied Sciences , Villach, Kärnten, Austria

    Michael E. Auer

  2. Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece

    Thrasyvoulos Tsiatsos

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Mehrtash, M., Centea, D. (2020). Experiential Learning Approaches in Automotive Engineering: Implementing Real World Experiences. In: Auer, M., Tsiatsos, T. (eds) The Challenges of the Digital Transformation in Education. ICL 2018. Advances in Intelligent Systems and Computing, vol 916. Springer, Cham. https://doi.org/10.1007/978-3-030-11932-4_51

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