Computer Simulations and Implications for Education* and Society

  • Simon Skrødal
  • Sivakumar Alagumalai
  • Mike Lawson
  • Paul Calder


Computer technologies allow advanced simulation models to be realised in virtual environments commonly referred to as computer simulations. Computer simulations may be used to mimic real-life scenarios and thereby provide a better understanding of the components and processes involved in interactions.


Mental Model Educational Theory Real World Entity Paper Aeroplane Preservice Teacher Education Program 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Anderson, L.W. & Krathwohl, D.R. (Eds.) (2001). A taxonomy for Learning, teaching, and assessing: A revision of Bloom’s taxonomy of educational objectives. New York: Addison Wesley Longman.Google Scholar
  2. Armstrong, D.M. (2004). Mental concepts: Causal Analysis. In Gregory, R.L. (Ed.) The Oxford Companion to the Mind. London: Oxford University Press. pp. 572–574. (2nd Ed.).Google Scholar
  3. Biggs, J. (1995). Assessing for learning: Some dimensions underlying new approaches to educational assessment. The Alberta Journal of Educational Research, 41(1), 1–17.Google Scholar
  4. Biggs, J.B., and Collis, K.F. (1982). Evaluating the Quality of Learning – the SOLO Taxonomy. New York: Academic Press.Google Scholar
  5. Davidsson, P. (2000). Multi Agent Based Simulation: Beyond Social Simulation. In Moss, S. & Davidsson, P. (Ed.) Workshop on Multi Agent Based Simulation (MABS). Springer-Verlag New York, Inc., pp. 97–107.Google Scholar
  6. Davidsson, P. (2002). Agent based social simulation: A Computer science view. Journal of Artificial Societies and Social Simulation, 5(1), pp. 1–15.Google Scholar
  7. Dix, A. (2003). Deconstructing experience: pulling crackers apart. In Blythe, M., Overbeeke, K., Monk, A., & Wright, P. (Eds.). Funology: from usability to enjoyment. Chapter 13, pp. 165–178. Dordrecht, the Netherlands: Kluwer Academic Publishers.Google Scholar
  8. Feinstein, A.H., & Cannon, H.M. (2002). Constructs of Simulation Evaluation. Simulation Gaming, 33(4), 425–440.CrossRefGoogle Scholar
  9. Hill, R.R., Miller, J.O., & McIntyre, G.A. (2001). Simulation analysis: applications of discrete event simulation modeling to military problems. In Proceedings of the 33rd conference on Winter simulation, IEEE Computer Society, pp. 780–788.Google Scholar
  10. Hsu, F-H. (2002). Behind Deep Blue: Building the Computer that Defeated the World Chess Champion. Princeton, USA: Princeton University Press.Google Scholar
  11. Jennings, N.R. (2000). On agent-based software engineering. Artificial Intelligence, 177, 277–296.CrossRefGoogle Scholar
  12. Johnson-Laird, P.N. (1983). Mental Models: Towards a cognitive science of language, inference and consciousness. Cambridge, MA: Harvard University Press.Google Scholar
  13. Krathwohl, D.R. (2002). A Revision of Bloom’s Taxonomy: An Overview. Theory into Practice, 41(4), 212–218.CrossRefGoogle Scholar
  14. Luck, M. & d’Inverno, M. (2001). A Conceptual Framework for Agent Definition and Development. Computer Journal, Oxford University Press, 44, pp. 1–20(20).Google Scholar
  15. Macal, C.M. & M.J. North. (2006). Tutorial on Agent-Based Modeling and Simulation Part 2: How To Model With Agents. In Proceedings of the 2006 Winter Simulation Conference, edited by L.F. Perrone, F.P. Wieland, J. Liu, B.G. Lawson, D.M. Nicol, and R.M. Fujimoto, 73–83. Piscataway, New Jersey: Institute of Electronics Engineers, Inc.CrossRefGoogle Scholar
  16. Narayanasamy, V., Wong, K.W., Fung, C.C. & Rai, S. (2006). Distinguishing games and simulation games from simulators. Comput. Entertain., ACM Press, 4(2).Google Scholar
  17. OECD (2002), Understanding the Brain – Towards a New Learning Science. Paris, France: OECD.Google Scholar
  18. OECD (2007), Understanding the Brain: The Birth of a Learning Science – New insights on learning through cognitive and brain science. Paris, France: OECD.Google Scholar
  19. Prusinkiewicz, P. (2000). Simulation Modeling of Plants and Plant Ecosystems. Communications of the ACM, 43(7), 84–93.CrossRefGoogle Scholar
  20. Prusinkiewicz P. (2004). Modeling plant growth and development. Current Opinion in Plant Biology, 7, 79–83.CrossRefGoogle Scholar
  21. Reed, J.A., Follen, G.J., & Afjeh, A.A., 2000. Improving the Aircraft Design Process Using Web- Based Modeling and Simulation. ACM Transactions on Modeling and Computer Simulation, 10(1), pp. 58–83.CrossRefGoogle Scholar
  22. Scardamalia, M. & Bereiter, C. (1989). Intentional learning as a goal of instruction. In L. B. Resnick (Ed.), Knowing, learning, and instruction: Essays in honor of Robert Glaser (pp. 361–392). Hillsdale, NJ: Lawrence Erlbaum Associates. (Excerpt pp. 361–363).Google Scholar
  23. Scardamalia, M., & Bereiter, C. (1993). Technologies for knowledge-building discourse. Communications of the ACM, 36(5), 37–41.CrossRefGoogle Scholar
  24. Scardamalia, M., & Bereiter, C. (2006). Knowledge building: Theory, pedagogy, and technology. In K. Sawyer (Ed.), Cambridge Handbook of the Learning Sciences (pp. 97–118). New York: Cambridge University Press.Google Scholar
  25. Semtner, A.J. (2000). Ocean and Climate Modeling. Communications of the Association for Computing Machinery, 43(4), 80–89.CrossRefGoogle Scholar
  26. Shannon, R.E. (1992). Introduction to simulation. In WSC ’92: Proceedings of the 24th Conference on Winter simulation, NY, USA: ACM. pp. 65–73.Google Scholar
  27. Shulman, L.S. (1991a). “Ways of seeing, ways of knowing: Ways of teaching, ways of learning about teaching.” Journal of Curriculum Studies, 23(5), pp. 393–395.CrossRefGoogle Scholar
  28. Shulman, L.S. (1991b). Teaching excellence in the university. Stanford University Academic Council. Stanford, California, May 1991.Google Scholar
  29. Skrødal, S. (2003). Virtual Classroom Simulation. Unpublished Honours Thesis – Flinders University. Adelaide, Australia.Google Scholar
  30. Skrødal, S. (2010). Virtual classroom simulation: design and trial in a preservice teacher education program. Unpublished PhD Thesis – The University of Adelaide. Adelaide, Australia.Google Scholar
  31. Stones, E. (1987). Student (practice) teaching. In Duncin, M.J. (Ed). The International Encyclopaedia of Teaching and Teacher Education, Chapter 6, Pergamon Press, pp. 681–685.Google Scholar

Copyright information

© Sense Publishers 2013

Authors and Affiliations

  • Simon Skrødal
  • Sivakumar Alagumalai
  • Mike Lawson
  • Paul Calder

There are no affiliations available

Personalised recommendations