Modeling for everyone: Emphasizing the role of modeling in stem education

Proceedings - Winter Simulation Conference

Volumn 2015-January, Issue , 2015, Pages 2786-2796

  Fishwick, Paul ^a   Brailsford, Sally ^b   Taylor, Simon J E ^c   Tolk, Andreas ^d   Uhrmacher, Adelinde ^e  

^a UNIVERSITY OF TEXAS AT DALLAS   (United States)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^c BRUNEL UNIVERSITY   (United Kingdom)

^d SimIS Inc   (United States)

^e UNIVERSITY OF ROSTOCK   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CODES (SYMBOLS);

COMPUTER GENERATED; CREATIVE ACTIVITY; HUMAN COGNITION; SCIENCE , TECHNOLOGY , ENGINEERING , AND MATHEMATICS; STEM EDUCATION; SYNTHETIC ENVIRONMENTS;

ENGINEERING EDUCATION;

EID: 84940557987     PISSN: 08917736     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WSC.2014.7020121     Document Type: Conference Paper

References (23)

1. Brailsford SC, Harper PR, Patel B and Pitt M (2009). An Analysis of the Academic Literature on Simulation and Modelling in Healthcare. Journal of Simulation 3:130-140
2. Brailsford SC, Bolt TB, Bucci G et al. (2013). Overcoming the barriers: a qualitative study of simulation adoption in Primary Care Trusts in the NHS. Journal of the Operational Research Society 64:157-168
3. Code. 2014. Code http://code.org. Last accessed May 4, 2014
4. Doerner, D. 1997. The Logic of Failure: Recognizing and Avoiding Error in Complex Situations. Basic Books
5. Faeder, J. 2011. Toward a comprehensive language for biological systems. BMC Biology 9 (69)
6. Fishwick, P. A. 1995. Simulation Model Design and Execution: Building Digital Worlds. Englewood-Cliffs, New Jersey, Prentice Hall, Inc
7. Fishwick, P. A. 2007. The Languages of Dynamic System Modeling, Chapter I. In Handbook of Dynamic System Modeling, Fishwick, P. A., Ed., Chapman and Hall/CRC Computer &Information Science Series
8. Fishwick, P. A. 2014. Computing as Model-Based Empirical Science. In Proceedings of the 2014 SIGSIM-PADS Conference, Hamilton, D., Riley, G. And Fujimoto, R., Eds. Association for Computing Machinery, Denver, Colorado, May 18-21, 2014
9. Fone D., Hollinghurst S., Temple M., Round A., Lester N., Weightman A., Roberts K., Coyle E., Bevan G. And Palmer S. (2003). Systematic review of the use and value of computer simulation modelling in population health and health care delivery. Journal of Public Health Medicine, 25:325-335
10. Goldman, S.L. 2006. Science Wars: What Scientists know and How They know It. Lehigh University, The Teaching Company, Chantilly, VA
11. Holloway,D., Green, L. And Livingstone, S. (2013). Zero to eight. Young children and their internet use. LSE, London: EU Kids Online
12. Koksal, A. S., Y. Pu, S. Srivastava, R. Bodik, J. Fisher, and N. Piterman. 2013. Synthesis of Biological Models from Mutation Experiments. SIGPLAN Not. 48 (1): 469-482
13. Lazebnik, Y. 2002. Can a biologist fix a radio?-Or, what I learned while studying apoptosis. Cancer Cell. 2 (3): 179-182
14. Maloney, J., Resnick, M., Rusk, N., Silverman, B. And Eastmond, E. 2010. The Scratch Programming Language and Environment. ACM Transactions on Computing Education (TOCE). 10 (4): Article No. 16
15. Maus C., Rybacki S. And Uhrmacher A.M., 2011. Rule-based multi-level modeling of cell biological systems. BMC Systems Biology, 5:166
16. Ogden, C. K., and I. A. Richards. 1923. The Meaning of Meaning: A Study of the Influence of Language Upon Thought and of the Science of Symbolism. London: Routledge &Kegan Paul
17. Popper, K. R. 1935. Logik der Forschung [The Logic of Scientific Discovery], Berlin: Springer
18. Raiszadeh, B., and J. Batterson. 2012. CK-12 Modeling and Simulation for High School Teachers: Principles, Problems, and Lesson Plans. http://www.ck12.org/book/CK-12-Modeling-and-Simulation-for-High-School-Teachers%253A-Principles%252C-Problems%252C-and-Lesson-Plans
19. Rosen, R. 1998. Essays on Life Itself. New York NY: Columbia University Press
20. Tolk, A. 2013. Interoperability, Composability, and their Implications for Distributed Simulation-Towards Mathematical Foundations of Simulation Interoperability. In IEEE/ACM Proceedings Distributed Simulation and Real Time Applications (DS-RT 2013), 3-9, Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc
21. Tolk, A., B.L. Heath, M.Ihrig, J.J. Padilla, E.H. Page, E.D. Suarez, C. Szabo, P. Weirich, and L. Yilmaz. 2013. Epistemology of Modeling and Simulation. In Proceedings of the 2013 Winter Simulation Conference, edited by R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M. E. Kuhl, 1152-1166. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc
22. Tversky, A., and D. Kahneman. 1974. Judgment under Uncertainty: Heuristics and Biases. Science 185 (4157): 1124-1131
23. YCode. 2014. YCode. http://yearofcode.org