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Computer Modeling and Simulation in Engineering Education: Intended Learning Outcomes Development

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Advances in Manufacturing II (MANUFACTURING 2019)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

Engineers need to know a wide spectrum of modern techniques and tools to be able to apply them in their professional work. Modeling and simulation are examples of the activities that are commonly undertaken by modern engineers, especially in the context of Industry 4.0 concept. Therefore, it is important that in the process of engineers’ education the issues related to modeling and simulation should be strongly emphasized. This article attempts to show the benefits of using modeling and simulation techniques in the education of engineers. In addition, it proposes corresponding intended learning outcomes consistent with the Conali ontology and the Bloom’s taxonomy. It also presents examples of modeling and simulation applications in engineering courses and shows the structure of possible tasks to be performed in the practical implementation of simulation.

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References

  1. Gola, A.: Reliability analysis of reconfigurable manufacturing system structures using computer simulation methods. Maint. Reliab. 21(1), 90–102 (2019)

    Google Scholar 

  2. Kłos, S., Trebuna, P.: Using computer simulation method to improve throughput of production systems by buffers and workers allocation. Manag. Prod. Eng. Rev. 6(4), 60–69 (2015)

    Google Scholar 

  3. Stadnicka, D., Litwin, P.: Value stream mapping and system dynamics integration for manufacturing line modelling and analysis. Int. J. Prod. Econ. 208, 400–411 (2019)

    Article  Google Scholar 

  4. Magana, A.J., de Jong, T.: Modeling and simulation practices in engineering education. Comput. Appl. Eng. Educ. 26(4), 731–738 (2018)

    Article  Google Scholar 

  5. Booth, S.L., Sterman, J.D.: Bathtub dynamics: initial results of a systems thinking inventory. Syst. Dyn. Rev. 16, 249–286 (2000)

    Article  Google Scholar 

  6. Yaşar O., et al.: Computational math, science, and technology (CMST): a strategy to improve STEM workforce and pedagogy to improve math and science education. In: International Conference on Computational Science, pp. 169–176 (2006)

    Google Scholar 

  7. de Jong, T., Linn, M.C., Zacharia, Z.C.: Physical and virtual laboratories in science and engineering education. Science 340, 305–308 (2013)

    Article  Google Scholar 

  8. West, R., Graham, C.: Five powerful ways technology can enhance teaching and learning in higher Education. Educ. Technol. 45(3), 20–27 (2005)

    Google Scholar 

  9. Bringelson, L.S., Lyth, D.M., Reck, R.L., Landeros, R.: Training industrial engineers with an interfunctional computer simulation game. Comput. Ind. Eng. 29(1–4), 89–92 (1995). ISSN 0360-8352

    Article  Google Scholar 

  10. Podolefsky, N.S., Perkins, K.K., Adams, W.K.: Factors promoting engaged exploration with computer simulations. Phys. Rev. Spec. Top.-Phys. Educ. Res. 6(2), 20–117 (2010)

    Google Scholar 

  11. Badulescu, A., Lyon, R.: Classroom simulators. User friendly education with nuclear reactor simulators. IAEA Bull. 43(1), 25–28 (2001)

    Google Scholar 

  12. Stadnicka, D., Litwin, P.: VSM based system dynamics analysis to determine manufacturing processes performance indicators. DEStech Trans. Eng. Technol. Res. (2017). (icpr)

    Google Scholar 

  13. Cooperstein, S.E., Kocevar-Weidinger, E.: Beyond active learning: a constructivist approach to learning. Ref. Serv. Rev. 32(2), 141–148 (2004)

    Article  Google Scholar 

  14. Maffei, A., Daghinia, L., Archentia, A., Lohseb, N.: CONALI ontology. a framework for design and evaluation of constructively aligned courses in higher education: putting in focus the educational goal verbs. In: 26th CIRP Design Conference, Procedia CIRP, vol. 50, pp. 765–772 (2016)

    Article  Google Scholar 

  15. Stadnicka, D.: A multi-aspects approach to increase the efficiency of enterprises. Oficyna Wydawnicza Politechniki Rzeszowskiej, Rzeszow (2018). (in Polish)

    Google Scholar 

  16. Bloom, B.S., College, C., Examiners, U.: Taxonomy of Educational Objectives. David McKay, New York (1956)

    Google Scholar 

  17. Munzenmaier, C., Rubin, N.: Bloom’s taxonomy: what’s old is new again. the learning guild research. the elearning guild (2013). http://onlineteachered.mit.edu/edc-pakistan/files/best-practices/session-2/Pre-Session-Munzenmaier-Rubin-2013.pdf. Accessed 28 Nov 2017

  18. Anderson, L.W., Krathwohl, D.R., Airasian, P.W., Cruikshank, K.A., Mayer, R.E., Pintrich, P.R., Raths, J., Wittrock, M.C.: A taxonomy for learning, teaching, and assessing: a revision of bloom’s taxonomy of educational objectives, abridged edition. White Plains, Longman, New York (2001)

    Google Scholar 

  19. Anderson, J.R.: Cognitive Psychology and its Implications, 4th edn, p. 234. W. H. Freeman and Company, New York (1995)

    Google Scholar 

  20. Baumard, P.: Tacit Knowledge in Organizations, pp. 62–98. Sage publication, London (1999)

    Google Scholar 

  21. Wedig, T.: Getting the most from classroom simulations: strategies for maximizing learning outcomes. Polit. Sci. Polit. 43(3), 547–555 (2010)

    Article  Google Scholar 

  22. Magana, A.J., Brophy, S.P., Bodner, G.M.: Instructors’ intended learning outcomes for using computational simulations as learning tools. J. Eng. Educ. 101(2), 220–243 (2012)

    Article  Google Scholar 

  23. de Marco, T.: The Deadline: A Novel About Project Management. EMKA, Warsaw (2002). (in Polish)

    Google Scholar 

  24. Wolanska, M.: The use of IT tools for modeling and simulation of production line operation. Diploma thesis under supervision of Dorota Stadnicka, Rzeszow (2018). (in Polish)

    Google Scholar 

  25. Gromadzki, F.: Using any logic to simulate the production process. Diploma thesis under supervision of Dorota Stadnicka, Rzeszow (2018). (in Polish)

    Google Scholar 

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Acknowledgments

The research work reported here has been partially supported by the “TIPHYS - Social Network based doctoral Education on Industry 4.0” project No 2017-1-SE01-KA203-03452 co-funded by ERASMUS + of the European Commission.

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Authors and Affiliations

  1. Rzeszow University of Technology, Rzeszow, Poland

    Paweł Litwin & Dorota Stadnicka

Authors
  1. Paweł Litwin
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  2. Dorota Stadnicka
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Corresponding author

Correspondence to Paweł Litwin .

Editor information

Editors and Affiliations

  1. Poznan University of Technology, Poznan, Poland

    Adam Hamrol

  2. Poznan University of Technology, Poznan, Poland

    Marta Grabowska

  3. University of Maribor, Kranj, Slovenia

    Damjan Maletic

  4. Brandenburg University of Technology, Cottbus, Brandenburg, Germany

    Ralf Woll

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Litwin, P., Stadnicka, D. (2019). Computer Modeling and Simulation in Engineering Education: Intended Learning Outcomes Development. In: Hamrol, A., Grabowska, M., Maletic, D., Woll, R. (eds) Advances in Manufacturing II. MANUFACTURING 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-17269-5_12

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  • DOI: https://doi.org/10.1007/978-3-030-17269-5_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-17268-8

  • Online ISBN: 978-3-030-17269-5

  • eBook Packages: EngineeringEngineering (R0)

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