Skip to main content

Future Research Directions in Dynamic Decision Making

  • Chapter
  • First Online:
  • 428 Accesses

Part of the book series: SpringerBriefs in Complexity ((BRIEFSCOMPLEXITY))

Abstract

The cumulative knowledge of what works and what doesn’t work in the education and training of people in dynamic tasks is of immense importance. Simulation-based education and training is a multibillion industry, and stakes are high (e.g., we need to train future surgeons, aviators, and the policymakers). The ILEs in general and SDILEs, in particular, have long been used and are considered a viable solution to this ever-increasing need of people’s education and training in dynamic decision making. In this book, we have modestly contributed to advance the science of dynamic decision making and also to the sense of evaluation of decisional aids. However, we do admit that there are more questions to be investigated than what we have addressed here.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Qudrat-Ullah, H. (2007). Debriefing can reduce misperceptions of feedback hypothesis: An empirical study. Simulations and Gaming, 38(3), 382–397.

    Article  Google Scholar 

  • Qudrat-Ullah, H. (2014). Yes we can: Improving performance in dynamic tasks. Decision Support Systems, 61, 23–33.

    Article  Google Scholar 

  • Qudrat-Ullah, H., & Kayal, A. (2018). How to improve learners’ (mis) understanding of CO2 accumulations through the use of human-facilitated interactive learning environments? Journal of Cleaner Production, 184, 188–197.

    Article  Google Scholar 

  • Qudrat-Ullah, H., Saleh, M. M., & Bahaa, E. A. (1997). Fish Bank ILE: An interactive learning laboratory to improve understanding of ‘The Tragedy of Commons’; a common behavior of complex dynamic systems. Proceedings of 15th International System Dynamics Conference, Istanbul, Turkey.

    Google Scholar 

  • Sterman, J. D. (2000). Business dynamics: Systems thinking and modeling for a complex world. New York: McGraw-Hill.

    Google Scholar 

  • Sterman, J., Franck, T., Fiddaman, T., Jones, A., McCauley, S., Rice, P., Sawin, E., Siegel, L., & Rooney-Varga, J. (2014). World climate: A role-play simulation of climate negotiations. Simulation & Gaming, 1–35.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2020 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Qudrat-Ullah, H. (2020). Future Research Directions in Dynamic Decision Making. In: Improving Human Performance in Dynamic Tasks. SpringerBriefs in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-28166-3_6

Download citation

Publish with us

Policies and ethics