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.
Keywords
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Gola, A.: Reliability analysis of reconfigurable manufacturing system structures using computer simulation methods. Maint. Reliab. 21(1), 90–102 (2019)
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)
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)
Magana, A.J., de Jong, T.: Modeling and simulation practices in engineering education. Comput. Appl. Eng. Educ. 26(4), 731–738 (2018)
Booth, S.L., Sterman, J.D.: Bathtub dynamics: initial results of a systems thinking inventory. Syst. Dyn. Rev. 16, 249–286 (2000)
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)
de Jong, T., Linn, M.C., Zacharia, Z.C.: Physical and virtual laboratories in science and engineering education. Science 340, 305–308 (2013)
West, R., Graham, C.: Five powerful ways technology can enhance teaching and learning in higher Education. Educ. Technol. 45(3), 20–27 (2005)
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
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)
Badulescu, A., Lyon, R.: Classroom simulators. User friendly education with nuclear reactor simulators. IAEA Bull. 43(1), 25–28 (2001)
Stadnicka, D., Litwin, P.: VSM based system dynamics analysis to determine manufacturing processes performance indicators. DEStech Trans. Eng. Technol. Res. (2017). (icpr)
Cooperstein, S.E., Kocevar-Weidinger, E.: Beyond active learning: a constructivist approach to learning. Ref. Serv. Rev. 32(2), 141–148 (2004)
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)
Stadnicka, D.: A multi-aspects approach to increase the efficiency of enterprises. Oficyna Wydawnicza Politechniki Rzeszowskiej, Rzeszow (2018). (in Polish)
Bloom, B.S., College, C., Examiners, U.: Taxonomy of Educational Objectives. David McKay, New York (1956)
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
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)
Anderson, J.R.: Cognitive Psychology and its Implications, 4th edn, p. 234. W. H. Freeman and Company, New York (1995)
Baumard, P.: Tacit Knowledge in Organizations, pp. 62–98. Sage publication, London (1999)
Wedig, T.: Getting the most from classroom simulations: strategies for maximizing learning outcomes. Polit. Sci. Polit. 43(3), 547–555 (2010)
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)
de Marco, T.: The Deadline: A Novel About Project Management. EMKA, Warsaw (2002). (in Polish)
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)
Gromadzki, F.: Using any logic to simulate the production process. Diploma thesis under supervision of Dorota Stadnicka, Rzeszow (2018). (in Polish)
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-17269-5_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-17268-8
Online ISBN: 978-3-030-17269-5
eBook Packages: EngineeringEngineering (R0)