Skip to main content
Log in

Feedback (F) Fueling Adaptation (A) Network Growth (N) and Self-Organization (S): A Complex Systems Design and Evaluation Approach to Professional Development

  • Published:
Journal of Science Education and Technology Aims and scope Submit manuscript

Abstract

This paper reports on the efficacy of a professional development framework premised on four complex systems design principles: Feedback, Adaptation, Network Growth and Self-organization (FANS). The framework is applied to the design and delivery of the first 2 years of a 3-year study aimed at improving teacher and student understanding of computational modeling tools. We demonstrate that structuring a professional development program around the FANS framework facilitates the development of important strategies and processes for program organizers such as the identification of salient system variables, effectively distributing expertise, adaptation and improvement of professional development resources and activities and building technological, human and social capital. For participants, there is evidence to show that the FANS framework encourages: professional goal setting, engagement in a strong professional community and personal autonomy by enabling individualized purpose—all fundamental components in promoting self-organization. We discuss three meta-level themes that may account for the success of the FANS framework: structure versus agency, exploration versus exploitation and short-term versus long-term goals. Each illustrates the tension that exists between competing variables that need to be considered in order to work effectively in real world complex educational systems.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Arrow H., McGrath J., Berdahl J. (2000). Small Groups as Complex Systems. Formation, Coordination, Development and Adaptation. Sage Publications, Inc., Thousand Oaks, CA

    Google Scholar 

  • Axelrod R., Cohen M. (1999) Harnessing Complexity. The Free Press, New York

    Google Scholar 

  • Bar-Yam Y. (1997) Dynamics of Complex Systems. Addison-Wesley, Reading, Mass

    Google Scholar 

  • Capra F. (1996) The Web of Life. Bantam Doubleday Dell Publishing Group, Inc., New York

    Google Scholar 

  • Coburn C. (2003) Rethinking scale: Moving beyond numbers to deep and lasting change. Educational Researcher 32(6): 3–12

    Google Scholar 

  • Colella, V., and Klopfer, E. (2000). Seeding change: Bringing modeling to science teachers and their students. The Bulletin of The Santa Fe Institute 15: 2

    Google Scholar 

  • Colella V., Klopfer E., Resnick M. (2001) Adventures in Modeling. Teachers College Press, New York

    Google Scholar 

  • Cuban L., Kirkpatrick H., Peck C. (2002) High access and low use of technologies in high school classrooms: Explaining an apparent paradox. American Educational Research Journal 38(4): 813–834

    Google Scholar 

  • Dede C., Honan J. (2005) Scaling up success: A synthesis of themes and insights. In: Dede C., Honan J., Peters L. (Eds.), Scaling Up Success: Lessons Learned from Technology-Based Educational Improvement. Jossey-Bass, San Francisco, CA, pp 227–239

    Google Scholar 

  • Elmore R. (1996) Getting to scale with good educational practice. Harvard Educational Review 66(1): 1–26

    Google Scholar 

  • Fishman B., Marx R., Blumenfeld P., Krajcik J., Soloway E. (2004) Creating a framework for research on systemic technology innovations. The Journal of the Learning Sciences 13(1): 43–76

    Article  Google Scholar 

  • Fullan M. (1993) Change Forces: Probing the Depths of Educational Reform. The Falmer Press, London

    Google Scholar 

  • Fullan M. (1999) Change Forces: The Sequel. The Falmer Press, London

    Google Scholar 

  • Fullan M. (2003) Changes Forces: With a Vengeance. RoutledgeFalmer, London

    Google Scholar 

  • Gell-Mann M. (1994) The Quark and the Jaguar. W. H. Freeman and Company, New York

    Google Scholar 

  • Goldman S. (2005) Designing for scalable educational improvement. In: Dede C., Honan J., Peters L. (Eds.), Scaling Up Success: Lessons Learned from Technology-Based Educational Improvement. Jossey-Bass, San Francisco, CA, pp 67–96

    Google Scholar 

  • Hmelo C., Holton D., Kolodner J., (2000) Designing to learn about complex systems. Journal of the Learning Sciences 9(3): 247–298

    Article  Google Scholar 

  • Holland J. (1998) Emergence: From Chaos to Order. Helix, Reading, MA

    Google Scholar 

  • Johnson S. (2001) Emergence: The Connected Lives of Ants, Brains, Cities, and Software. Simon & Schuster, New York

    Google Scholar 

  • Kauffman, S. (1995). At Home in the Universe, Oxford University Press, New York

    Google Scholar 

  • Klopfer E., Yoon S., Perry J. (2005) Using palm technology in participatory simulations of complex systems: A new take on ubiquitous and accessible mobile computing. Journal of Science Education and Technology 14(3): 285–298

    Article  Google Scholar 

  • Lemke J. (2001) The long and the short of it: Comments on multiple timescale studies of human activity. Journal of the Learning Sciences 10(1&2): 17–26

    Article  Google Scholar 

  • Liljenstrom H., Svedin U. (2005) Micro Meso Macro: Addressing Complex Systems Coupling. World Scientific Publishing Co., Inc., London

    Google Scholar 

  • Lincoln Y. S., Guba E. G. (2000) Paradigmatic controversies, contradictions, and emerging confluences. In: Densin N. K., Lincoln Y. S. (Eds.), Handbook of Qualitative Research. Sage, Thousand Oaks, CA

    Google Scholar 

  • Putnam R. (2000) Bowling Alone. Simon & Schuster, New York

    Google Scholar 

  • Reiser B. J., Spillane J. P., Steinmuller F., Sorsa D., Carney K., Kyza E. (2000) Investigating the mutual adaptation process in teachers’ design of technology-infused curricula. In: Fishman B., O’Conner-Divelbiss S. (Eds.), Fourth International Conference of the Learning Sciences. Erlbaum, Mahwah, NJ, pp 342–349

    Google Scholar 

  • Senge P., Cambron-McCabe N., Lucas T., Smith B., Dutton J., Kleiner A. (2000) Schools that Learn. Doubleday, New York

    Google Scholar 

  • Sterman J. D. (2000) Business Dynamics: Systems Thinking and Modeling for a Complex World. The McGraw-Hill Companies, Boston

    Google Scholar 

  • Strauss A. L., Corbin J. M. (1998) Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory 2 edn. Sage, Newbury Park, CA

    Google Scholar 

  • Varela F. (1999) Ethical Know-How: Action, Wisdom, and Cognition. Stanford University Press, Stanford, CA

    Google Scholar 

  • Watts D. (2003) Six Degrees. W. W. Norton, Company, Inc., New York

    Google Scholar 

  • Yi-Zhang T., Kim J., (2005) Macro-, Meso-, Micro- and Nano-Mechanics of Materials. Trans Tech Publications Inc., Zurich

    Google Scholar 

Download references

Acknowledgements

We would like to gratefully acknowledge Judy Perry for her assistance on the data analysis portion of this paper. This research was supported by a National Science Foundation ITEST Grant (Award # 0322573).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Susan A. Yoon.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yoon, S.A., Klopfer, E. Feedback (F) Fueling Adaptation (A) Network Growth (N) and Self-Organization (S): A Complex Systems Design and Evaluation Approach to Professional Development. J Sci Educ Technol 15, 353–366 (2006). https://doi.org/10.1007/s10956-006-9024-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10956-006-9024-4

Keywords

Navigation