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.
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Appendices
Appendix 1: Synonyms for: (a) Higher Education (b) Simulation Method (c) Areas of Application
a. Higher Education: |
Higher education: academic, college, university, tertiary education, medical education, nurse, nurses, nursing, pharmacy, undergraduate education, undergraduate, airway management education, medical, engineering, business education, internship, higher professional education |
b. Simulation Methods: |
1. Simulation: simulating, simulate, simulation-based |
2. Industrial dynamic, industrial dynamics, system dynamic, system dynamics, system-dynamic, dynamic simulation |
3. Monte Carlo |
4. Discrete-event: discrete-event, DES |
5. Agent-based: agent-based, ABS, ABM |
6. Simulator: simulators |
7. Game: games |
8. Box trainer: box training. |
c. Areas of Applications: |
1. Transportation: transshipment, assignment, project management, CPM, Gant, PERT, network, networks, location, scheduling, timetabling |
2. Industry: logistics, maintenance, reliability, inventory |
3. Knowledge transfer: knowledge management, management of knowledge, R&D research and development, patent, patents, industrial park, industrial parks, incubator, incubators, entrepreneurship, entrepreneurial |
4. Marketing: finance, financial, strategy, strategic, balanced scorecard, BSC, efficiency, efficient, accounting, investment, revenue management, policy modeling, policy model, policy models, renovation, international, internationalization, planning, budgeting, cost, costing, managerial, management, administration, administrative |
5. Projection: projecting, forecasting, forecast |
6. Enrollment: student/students |
7. Faculty: staff, manpower |
8. Teaching: teach, practice, practicing, train, training, pedagogy, pedagogic, practitioner |
Appendix 2: Taxonomy of Simulation Models Applied to Higher Education
Authors (year) | Type of simulationa | HE area | Levels HE hierarchy | Country of application |
---|---|---|---|---|
Weathersby (1967) | Regression | Costs of departments | University by department | USA, UC Berkeley |
Baisuck and Wallace (1970) | DES | Enrollment projection | University and regional | USA |
Hopkins (1971) | Deterministic. simulation | University planning | University | USA |
Sinuany-Stern (1978) | Simulation and optimization | Budgeting and planning | Community college (CC) | USA (multi campus CC) |
Kennedy (2008) | SD | Policy issues | All levels | Review 1975–2005 |
Schellekens et al. (2010) | DES | Program organization | University | The Netherlands |
Kennedy (2011) | SD | Policy and pedagogy | All levels 40 articles | Review 1972–2008 |
Galbraith (2012) | SD | Various | Various | Methodology |
Voyer et al. (2012) | SD | Performance | Business sch. | USA |
Hussein and El-Nasr (2013) | SD and genetic algorithm | Budget allocation and quality | Institutional | Methodology NetLogo |
Larson et al. (2014) | R0, reproduction number | Supply and demand of Eng. PhDs | National | USA |
Brailsford and De Silva (2015) | SD | Supply and demand of dentists | National | Sri Lanka |
Gu et al. (2015) | ABS/ABM | Academic activities and teaching | All HE levels 35 articles | Review during 1997–2013 |
Gu et al. (2015) | ABS prototype in NetLogo | Researchers publications strategy | University by department by researcher | Australia |
Kara (2015) | Stochastic SD | Stud. Supply and demand and quality | National | Turkey |
Fateh Rad et al. (2015) | SD | Strategic—industry relations | University Regional | Iran |
Little (2015) | DES and ABS | Quality improve | University | General |
Strauss and Borenstein (2015) | SD Undergrad. enrollment | Long run planning, strategy | National HE public/private sector | Brazil |
Dandagi et al. (2016) | SD and Structural equations | Strategy Questionnaire factor anal. | University | India |
Oltean et al. (2017) | DES—facility planning | Building viability | Public university | Romania |
Al Hallak et al. (2017) | SD—facility & faculty plan | Enrollment Mgmt. | Regional private sector | Syria |
Faham et al. (2017) | SD | Strategy | University | Iran |
Ghaffarzadegan et al. (2017) | SD—Student quantity vs. quality | Policy Edu. job mismatch | Regional | Methodology |
Zaini et al. (2017) | SD | Strategy | University | USA |
Kara (2018) | SD—Structural equation | Quality and productivity | University | Turkey |
Tan et al. (2019) | Discrete-timed model, Parallel systems | Quality of Peer review process | International | China |
Siniksaran and Satman (2020) | Simulation | Universities ranking | Universities | Review |
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Tiram, E., Sinuany-Stern, Z. (2021). Overview of Simulation in Higher Education: Methods and Applications. In: Sinuany-Stern, Z. (eds) Handbook of Operations Research and Management Science in Higher Education. International Series in Operations Research & Management Science, vol 309. Springer, Cham. https://doi.org/10.1007/978-3-030-74051-1_3
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