Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Operations Research and Management Science in Higher Education: An Overview Read chapter Read first chapter

2021 | OriginalPaper | Chapter

3. Overview of Simulation in Higher Education: Methods and Applications

Authors : Efrat Tiram, Zilla Sinuany-Stern

Published in: Handbook of Operations Research and Management Science in Higher Education

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Simulation is one of the most widely used methodologies in many areas such as industry, army, leisure activities, and education. This chapter is devoted to simulation in higher education (HE) and its use for administrative and educational purposes. Many types of simulation models have been used in HE for various purposes. Literature reviews have been published on specific types of simulations in HE but, to the best of our knowledge, there has not been a comprehensive overview of all types of simulation models in HE. We classify simulation models in HE into two types: (a) analytic simulations models such as discrete event simulation and system dynamics, and (b) educational simulation models such as, virtual reality, games, and simulators for training. This overview presents examples for each method, which gives some idea of the specific areas of HE they were used for. Moreover, taxonomy tables summarize the number of articles published over the last 20 years for each simulation method in HE in the Web of Science, along with the area of applications they are used for in HE. The number of articles on educational simulations is larger by far than the number of articles on analytic simulations. This overview is useful for developers of HE simulations and for administrators in HE institutions.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter A Systematic and Updated Review of the Literature on Higher Education Marketing 2005–2019
next chapter Managing Minds: The Challenges of Current Research Information Systems for Improving University Performance
Appendix
Available only for authorised users
Literature
Adib-Hajbaghery, M., & Sharifi, N. (2017). Effect of simulation training on the development of nurses and nursing students’ critical thinking: A systematic literature review. Nurse Education Today, 50, 17–24.CrossRef
Al Hallak, L., Ayoubi, R. M., Moscardini, A., & Loutfi, M. (2017). A system dynamic model of student enrollment at the private higher education sector in Syria. Studies in Higher Education, 44(4), 663–682.CrossRef
Alkhaldi, T., Pranata, I., & Athauda, R. I. (2016). A review of contemporary virtual and remote laboratory implementations: Observations and findings. Journal of Computers in Education, 3(3), 329–351.CrossRef
Almog, T., & Almog, O. (2020). Academia—All the lies: What went wrong in the university model and what will come in its place. Tamar & Oz Almog Publishing.
Avramenko, A. (2012). Enhancing students’ employability through business simulation. Education + Training, 54(5), 355–367.CrossRef
Baisuck, A., & Wallace, W. A. (1970). A computer simulation approach to enrollment projection in higher education. Socio-Economic Planning Sciences, 4(3), 365–381.CrossRef
Banks, C. M. (2009). What is Modeling and simulation? In J. A. Sokolowski & C. M. Banks (Eds.), Principles of Modeling and simulation: A multidisciplinary approach. Wiley, Chapter 1.
Banks, J., Carson, J. S., Nelson, B. L., & Nicol, D. (2005). Discrete-event system simulation (4th ed.). Prentice-Hall.
Barlas, Y., & Diker, V. (2000). A dynamic simulation game (UNIGAME) for strategic university management. Simulation and Gaming, 31(3), 331–358.CrossRef
Bell, G., Warwick, J., & Galbraith, P. (2012). Higher education management and operational research: Demonstrating new practices and metaphors (Eds). In M. A. Peters (Ed.), Educational futures rethinking theory and practice (Vol. 54). Sense Publishers.
Bradley, P. (2006). The history of simulation in medical education and possible future directions. Medical Education, 40(3), 254–262.CrossRef
Brailsford, S., & De Silva, D. (2015). How many dentists does Sri Lanka need? Modelling to inform policy decisions. Journal of the Operational Research Society, 66(9), 1566–1577.CrossRef
Brailsford, S. C., Eldabi, T., Kunc, M., Mustafee, N., & Osorio, A. F. (2019). Hybrid simulation modelling in operational research: A state-of-the-art review. European Journal of Operational Research, 278(3), 721–737.CrossRef
Cant, R. P., & Cooper, S. J. (2010). Simulation-based learning in nurse education: Systematic review. Journal of Advanced Nursing, 66(1), 3–15.CrossRef
Cant, R. P., & Cooper, S. J. (2017). Use of simulation-based learning in undergraduate nurse education: An umbrella systematic review. Nurse Education Today, 49, 63–71.CrossRef
Cheesman, M. J., Chen, S., Manchadi, M.-L., Jacob, T., Minchin, R. F., & Tregloan, P. A. (2014). Implementation of a virtual laboratory practical class (VLPC) module in pharmacology education. Pharmacognosy Communications, 4(1), 2–10.CrossRef
Cooper, S., & Fox-Young, S. (2012). Simulation based learning in midwifery education: A systematic review. Women and Birth, 25(2), 64–78.CrossRef
Curran, V., Fleet, L., White, S., Bessell, C., Deshpandey, A., Drover, A., Hayward, M., & Valcour, J. (2015). A randomized controlled study of manikin simulator fidelity on neonatal resuscitation program learning outcomes. Advances in Health Sciences Education, 20(1), 205–218.CrossRef
Dandagi, S., Bhushi, U., Bagodi, V., & Sinha, D. (2016). Strategic management of technical university: Structural equation modelling approach. Journal of Modelling in Management, 11(1), 75–90.CrossRef
Deshpande, A. A., & Huang, S. H. (2011). Simulation games in engineering education: A state-of-the-art. Computer Applications in Engineering Education, 19(3), 399–410.CrossRef
Doolen, J., Mariani, B., Atz, T., Horsley, T. L., O’ Rourke, J., McAfee, K., & Cross, C. L. (2016). High-fidelity simulation in undergraduate nursing education: A review of simulation reviews. Clinical Simulation in Nursing, 12(7), 290–302.CrossRef
Dubovi, I., Levy, S. T., & Dagan, E. (2017). Now I know how! The learning process of medication administration among nursing students with non-immersive desktop virtual reality simulation. Computers and Education, 113(1), 16–27.CrossRef
Faham, E., Rezvanfar, A., Mohammadi, S. H. M., & Nohooji, M. R. (2017). Using system dynamics to develop education for sustainable development in higher education with the emphasis on the sustainability competencies of students. Technological Forecasting and Social Change, 123, 307–326.CrossRef
Faria, A. J., Hutchinson, D., Wellington, W. J., & Gold, S. (2009). Developments in business gaming: A review of the past 40 years. Simulation and Gaming, 40(4), 464–487.CrossRef
Fateh Rad, M., Sayed Esfahani, M. M., & Jalilvand, M. R. (2015). An effective collaboration model between industry and university based on the theory of self-organization: A system dynamics model. Journal of Science and Technology Policy Management, 6(1), 2–24.CrossRef
Foronda, C. L., Fernandez-Burgos, M., Nadeau, C., Kelley, C. N., & Henry, M. N. (2020). Virtual simulation in nursing education: A systematic review spanning 1996 to 2018. Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare, 15(1), 46–54.CrossRef
Forrester, J. W. (1961). Industrial dynamics. Productivity Press.
Frank, R. M., Wang, K. C., Davey, A., Cotter, E. J., Cole, B. J., Romeo, A. A., Bush-Joseph, C. A., Bach, B. R., & Verma, N. N. (2018). Utility of modern arthroscopic simulator training models: A meta-analysis and updated systematic review. Arthroscopy: The Journal of Arthroscopic and Related Surgery, 34(5), 1650–1677.CrossRef
Galbraith, P. (2012). Making a bed to lie in: System dynamics behind university management stress. In G. Bell, J. Warwick, & P. Galbraith (Eds.), Higher education management and operational research. Educational futures (rethinking theory and practice) (Vol. 54, pp. 179–208). Sense Publishers, Brill Sense. chapter 11.CrossRef
Ghaffarzadegan, N., Xue, Y., & Larson, R. C. (2017). Work-education mismatch: An endogenous theory of professionalization. European Journal of Operational Research, 261(3), 1085–1097.CrossRef
Gu, X., & Blackmore, K. L. (2015). A systematic review of agent-based modelling and simulation applications in the higher education domain. Higher Education Research and Development, 34(5), 883–898.CrossRef
Hallgren, K. A. (2013). Conducting simulation studies in the R programming environment. Tutor Quant Methods Psychology, 9(2), 43–60.CrossRef
Hopkins, D. S. P. (1971). On the use of large-scale simulation models for university planning. Review of Educational Research, 41(3), 467–478.CrossRef
Horsley, T. L., O’Rourke, J., Mariani, B., Doolen, J., & Pariseault, C. (2018). An integrative review of Interprofessional simulation in nursing education. Clinical Simulation in Nursing, 22, 5–12.CrossRef
Hussein, S. E., & El-Nasr, M. A. (2013). Resources allocation in higher education based on system dynamics and genetic algorithms. International Journal of Computer Applications, 77(10), 40–48.CrossRef
Kane, P. (2018). Simulation-based education: A narrative review of the use of VERT in radiation therapy education. Journal of Medical Radiation Sciences, 65(2), 131–136.CrossRef
Kara, A. (2015). Simulations of technology-induced and crisis-led stochastic and chaotic fluctuations in higher education processes: A model and a case study for performance and expected employment. Educational Science: Theory and Practice, 15(2), 303–312.
Kovanis, M., Porcher, R., Ravaud, P., & Trinquart, L. (2016). Complex systems approach to scientific publication and peer-review system: Development of an agent-based model calibrated with empirical journal data. Scientometrics, 106, 695–715.CrossRef
Lapkin, S., & Levett-Jones, T. (2011). A cost–utility analysis of medium vs. high-fidelity human patient simulation manikins in nursing education. Journal of Clinical Nursing, 20(23–24), 3543–3552.CrossRef
Larson, R. C., Ghaffarzadegan, N., & Xue, Y. (2014). Too many PhD graduates or too few academic job openings: The basic reproductive number R 0 in academia. Systems Research Behavioral Science, 31(6), 745–750.
Lui, R. W. C., Lee, P. T. Y., & Ng, V. T. Y. (2015). Design and evaluation of PMS: A computerized simulation game for software Project Management. The Computer Games Journal, 4(1–2), 101–121.CrossRef
McGaghie, W. C., Issenberg, S. B., Petrusa, E. R., & Scalese, R. J. (2010). A critical review of simulation-based medical education research: 2003–2009. Medical Education, 44(1), 50–63.CrossRef
Minnery, J., & Searle, G. (2013). Toying with the City? Using the computer game SimCity™4. Planning Practice & Research, 29(1), 41–55.
Molders, M., Fink, R. D., & Weyer, J. (2011). Modeling scientists as agents. How scientists cope with the challenges of the new public management of science. Journal of Artificial Societies and Social Simulation, 14(4), 6.CrossRef
Murbay, S., Neelakantan, P., Chang, J. W. W., & Yeung, S. (2020). Evaluation of the introduction of a dental virtual simulator on the performance of undergraduate dental students in the pre-clinical operative dentistry course. European Journal of Dental Education, 24(1), 5–16.CrossRef
Nehring, W. M., & Lashley, F. R. (2010). High Fidelity patient simulation in nursing education. Jones and Bartlett Publishers.
Oltean, V. E., Borangiu, T., & Drăgoicea, M. (2017). A discrete event model of viability building in a public university organization. Service Science, 9(4), 263–352.CrossRef
Papanikolaou, I. G., Haidopoulos, D., Paschopoulos, M., Chatzipapas, I., Loutradis, D., & Vlahos, N. F. (2019). Changing the way we train surgeons in the 21th century: A narrative comparative review focused on box trainers and virtual reality simulators. European Journal of Obstetrics and Gynecology and Reproductive Biology, 235(13–18).
Richmond, B. (2004). An introduction to systems thinking with iThink paperback. isee systems.
Rosa, M., González, M., Araújo, A. C. C., & Santiago, G. (2017, August 21–25). Business game and its relationship with creativity: A systematic literature review. 21st International Conference on Engineering Design, ICED17. The University of British Columbia, 409–418.
Samosorn, A. B., Gilbert, G. E., Bauman, E. B., Khine, J., & McGonigle, D. (2020). Teaching airway insertion skills to nursing faculty and students using virtual reality: A pilot study. Clinical Simulation in Nursing, 39(1), 18–26.CrossRef
Schellekens, A., Paas, F., Verbraeck, A., & van Merrienboer, J. J. G. (2010). Designing a flexible approach for higher professional education by means of simulation modelling. Journal of Operational Research Society, 61(2), 202–210.CrossRef
Siebers, P. O., Macal, C. M., Garnett, J., Buxton, D., & Pidd, M. (2010). Discrete-event simulation is dead, long live agent-based simulation! Journal of Simulation, 4(3), 204–210.CrossRef
Sinuany-Stern, Z. (1978). Financial planning models for hierarchical higher education systems: Application of simulation and multi goal network optimization. Ph.D. Thesis, Case Western Reserve University.
Sinuany-Stern, Z. (1983). Cost simulation models for university budgeting. Computer Environment and Urban Systems, 8(4), 211–216.CrossRef
Sinuany-Stern, Z., & Stern, E. (1993). The role of traffic factors and route choice behavior in simulating urban evacuation. Socio-Economic Planning, 27(2), 97–108.CrossRef
Sinuany-Stern, Z., Stern, E., Sfaradi, Z., & Holm, E. (1997). Effect of commuters behavior on congested network performance: A micro simulation approach. European Journal of Operations Research, 96(3), 455–470.CrossRef
Smithson, J., Bellingan, M., Glass, B., & Mills, J. (2015). Standardized patients in pharmacy education: An integrative literature review. Currents in Pharmacy Teaching and Learning, 7(6), 851–863.CrossRef
Sokolowski, J. A., & Banks, C. M. (Eds.). (2009). Principles of Modeling and simulation: A multidisciplinary approach. Wiley.
Stern, E., & Sinuany-Stern, E. (1989). A Behavioral-based simulation model for urban evacuation. Regional Science Association, 66(1), 87–103.CrossRef
Strauss, L. M., & Borenstein, D. (2015). A system dynamics model for long-term planning of the undergraduate education in Brazil. Higher Education, 69(3), 375–397.CrossRef
Sun, Y., Pan, C., Li, T., & Gan, T. J. (2017). Airway management education: Simulation based training versus non-simulation based training-a systematic review and meta-analyses. BMC Anesthesiology, 17(1), 17.CrossRef
Thompson, R. K. (1970). Higher education administration: An operating system study utilizing dynamic simulation model. In A. N. Schreiber (Ed.), Corporate simulation models. Seattle University of Washington Printing.
Voyer, J., Brown, S. B., Gage, N., Kovalenko, D., & Williams, T. (2012). A system dynamics approach to improving an advising system for business school undergraduates. In G. Bell, J. Warwick, & P. Galbraith (Eds.), Higher education management and operational research. Educational futures (rethinking theory and practice) (Vol. 54, pp. 125–152). Sense Publishers, Brill Sense. chapter 8.CrossRef
Warren, J. N., Luctkar-Flude, M., Godfrey, C., & Lukewich, J. (2016). A systematic review of the effectiveness of simulation-based education on satisfaction and learning outcomes in nurse practitioner programs. Nurse Education Today, 46, 99–108.CrossRef
Weathersby, G. (1967). The development and applications of a university cost simulation model. University of California, Berkeley, Office of Analytical Studies.
White, G. (1987). The implementation of management science in higher education administration. OMEGA International Journal of Management Science, 15(4), 283–290.CrossRef
Zaini, R. M., Pavlov, O. V., Saeed, K., Radzicki, M. J., Hoffman, A. H., & Tichenor, K. R. (2017). Let’s talk change in a university: A simple model for addressing a complex agenda. Systems Research and Behavioral Science, 34(3), 250–266.CrossRef
Zupanc, G. K. H., Lehotzky, D., & Tripp, I. P. (2021). The Neurosphere simulator: An educational online tool for modeling neural stem cell behavior and tissue growth. Developmental Biology, 469(1), 80–85.CrossRef
Metadata
Title
Overview of Simulation in Higher Education: Methods and Applications
Authors
Efrat Tiram
Zilla Sinuany-Stern
Copyright Year
2021
Book
Handbook of Operations Research and Management Science in Higher Education

Print ISBN: 978-3-030-74049-8

Electronic ISBN: 978-3-030-74051-1

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-74051-1_3