Exploring Student Conceptions of Modeling and Modeling Uses in Engineering Design

Journal of Engineering Education

Volumn 103, Issue 1, 2014, Pages 77-91

  Carberry, Adam R ^a   Mckenna, Ann F ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

Author keywords

Adaptive expertise; Engineering design; Modeling

Indexed keywords

ENGINEERING EDUCATION; MODELS; STUDENTS;

ADAPTIVE EXPERTISE; ENGINEERING CURRICULUM; ENGINEERING DESIGN; ENGINEERING TOOLS; EXPERIMENTAL GROUPS; EXPLICIT LEARNING; EXPLICIT MODELING; STUDENT CONCEPTIONS;

PREDICTIVE ANALYTICS;

EID: 84893945385     PISSN: 10694730     EISSN: None     Source Type: Journal    
DOI: 10.1002/jee.20033     Document Type: Article

References (39)

1. Beckenbach, E. F. (Ed.). (2013). Modern mathematics for the engineer: Second Series. Mineola, NY: Dover Publications (Original work published in 1961).
2. Besterfield-Sacre, M. E., Self, B. P., Shuman, L. J., Christ, J. A., Miller, R. L., & Moore, T. J. (2012). Models and modeling in upper division classrooms: Impacting conceptual understanding and the professional skills. Proceedings of the ASEE Annual Conference & Exposition, San Antonio, TX.
3. Cardella, M. (2007). What your engineering students might be learning from their mathematics pre-reqs (beyond integrals and derivatives). Proceedings of the ASEE/IEEE Frontiers in Education Conference. Milwaukee, WI. doi: 10.1109/FIE.2007.4418130
4. Cartier, J., Rudolph, J., & Stewart, J. (2001). The nature and structure of scientific models. National Center for Improving Student Learning and Achievement in Mathematics and Science. University of Wisconsin-Madison. Retrieved from http://ncisla.wceruw.org/publications/reports/Models.pdf
5. Cole, J., Linsenmeier, R., McKenna, A., & Glucksberg, M. (2010). Investigating engineering students' mathematical modeling abilities in capstone design. Proceedings of the ASEE Annual Conference & Exposition, Louisville, KY.
6. Cole, J., Linsenmeier, R., Molina, E., Glucksberg, M., & McKenna, A. (2011). Assessing engineering students' mathematical modeling abilities in capstone design. Proceedings of the ASEE Annual Conference & Exposition, Vancouver, BC, Canada.
7. Diefes-Dux, H., Follman, D., Imbrie, P. K., Zawojewski, J., Capobianco, B., & Hjalmarson, M. (2004). Model eliciting activities: An in-class approach to improving interest and persistence of women in engineering. Proceedings of the ASEE Annual Conference & Exposition, Salt Lake City, UT.
8. Deifes-Dux, H. A., Moore, T., Zawojewski, J., Imbrie, P. K., & Follman, D. (2004). A framework for posing open-ended engineering problems: Model-eliciting activities. Proceedings of the ASEE/IEEE Frontiers in Education Conference, Savannah, GA. doi: 10.1109/FIE.2004.1408556
9. Diefes-Dux, H. A., Zawojewski, J. S., & Hjalmarson, M. A. (2010). Using educational research in the design of evaluation tools for open-ended problems. International Journal of Engineering Education, 26(4), 807-819.
10. Dym, C. L., Agogino, A. M., Eris, O., Frey, D. D., & Leifer, L. J. (2005). Engineering design thinking, teaching, and learning. Journal of Engineering Education, 94(1), 103-120. doi: 10.1002/j.2168-9830.2005.tb00832.x
11. Gainsburg, J. (2006). The mathematical modeling of structural engineers. Mathematical Thinking and Learning, 8, 3-36. doi: 10.1207/s15327833mtl0801_2
12. Glaser, B., & Strauss, A. (1967). The discovery of grounded theory: Strategies for qualitative research. Chicago, IL: Aldine.
13. Goold, E., & Devitt, F. (2012). The role of mathematics in engineering practice and in the formation of engineers. Proceedings of the Annual Conference of the European Society for Engineering Education (SEFI), Thessaloniki, Greece.
14. Hatano, G., & Inagaki, K. (1986). Two courses of expertise. In H. Stevenson, H. Azuma, & K. Hakuta (Eds.), Child development and education in Japan (pp. 262-272). New York, NY: Freeman.
15. Hatano, G., & Oura, Y. (2003). Commentary: Reconceptualizing school learning using insight from expertise research. Educational Researcher, 32(8), 26-29.
16. Hesse, M. (1963). Models and analogies in science. London: Sheed and Ward.
17. Lesh, R., & Doerr, H. M. (2003). Foundations of a models and modeling perspective on mathematics teaching, learning, and problem solving. In R. Lesh & H. M. Doerr (Eds.), Beyond constructivism: Models and modeling perspectives on mathematics problem solving, learning, and teaching (pp. 3-33). Mahwah, NJ: Lawrence Erlbaum.
18. Litzinger, T. A., Lattuca, L. R., Hadgraft, R. G., & Newstetter, W. C. (2011). Engineering education and the development of expertise. Journal of Engineering Education, 100(1), 123-150. doi: 10.1002/j.2168-9830.2011.tb00006.x
19. Magnani, L., Nersessian, N. J., & Thagard, P. (Eds.). (1999). Model-based reasoning in scientific discovery. New York, NY: Kluwer/Plenum.
20. Maki, D., & Thompson, M. (2006). Mathematical modeling and computer simulation. Belmont, CA: Thomson Brooks/Cole.
21. McKenna, A. (in press). Adaptive expertise and knowledge fluency in design and innovation. In A. Johri & B. M. Olds (Eds.), Cambridge handbook of engineering education research. Cambridge University Press.
22. McKenna, A., Linsenmeier, R., & Glucksberg, M. (2008). Characterizing computational adaptive expertise. Proceedings of the ASEE Annual Conference & Exposition, Pittsburgh, PA.
23. McKenna, A. F., & Carberry, A. R. (2012). Characterizing the role of modeling in innovation. International Journal of Engineering Education, 28, 263-269.
24. Miles, M., & Huberman, M. (1984). Qualitative data analysis: A source book for new methods. Thousand Oaks, CA: Sage.
25. Moore, T. J. (2008). Model-eliciting activities: A case-based approach for getting students interested in material science and engineering. Journal of Materials Education, 30(5-6), 295-310.
26. Moore, T., & Diefes-Dux, H. (2004). Developing model-eliciting activities for undergraduate students based on advanced engineering content. Proceedings of the ASEE/IEEE Frontiers in Education Conference, Savannah, GA. doi: 10.1109/FIE.2004.1408557
27. Moore, T. J., & Hjalmarson, M. A. (2010). Developing measures of roughness: Problemsolving as a method to document student thinking in engineering. International Journal of Engineering Education, 26(4), 820-830.
28. Moore, T. J., Miller, R. L., Lesh, R. A., Stohlmann, M. S., & Kim, Y. R. (2013). Modeling in engineering: The role of representational fluency in students' conceptual understanding. Journal of Engineering Education, 102(1), 141-178. doi: 10.1002/jee.20004
29. Morgan, M. S., & Morrison, M. (Eds.). (1999). Models as mediators Cambridge, UK: Cambridge University Press.
30. Nersessian, N. J., & Patton, C. (2009). Model-based reasoning in interdisciplinary engineering. In A. Meijers (Ed.), Handbook of the philosophy of technology and engineering sciences (pp. 687-718). Amsterdam, the Netherlands: Elsevier.
31. Newstetter, W. C. (2005). Designing cognitive apprenticeships for biomedical engineering. Journal of Engineering Education, 94(2), 207-213. doi: 10.1002/j.2168-9830.2005.tb00841.x
32. Perkins, D. N. (1986). Knowledge as design. Hillsdale, NJ: Lawrence Erlbaum.
33. Schwartz, D. L., Bransford, J. D., & Sears, D. (2005). Efficiency and innovation in transfer. In J. Mestre (Ed.), Transfer of learning: Research and perspectives (pp. 1-51). Greenwich, CT: Information Age Publishing.
34. Sheppard, S. D., Macatangay, K., Colby, A., & Sullivan, W. M. (2008). Educating engineers: Designing for the future of the field. San Francisco, CA: Jossey-Bass.
35. Starfield, A. M., Smith, K. A., & Bleloch, A. L. (1994). How to model it: Problem solving for the computer age. Edina, MN: Burgess Publishing.
36. Sun, Y., Newstetter, W., & Nersessian, N. J. (2006). Promoting model-based reasoning in problem-based learning. Trabajo presentado en la reunión anual de la Cognitive Science Society, Vancouver, BC, Canada.
37. Winkelman, P. (2009). Perceptions of mathematics in engineering. European Journal of Engineering Education, 34(4), 305-316. doi: 10.1080/03043790902987378
38. Yildirim, T. P., Shuman, L., & Besterfield-Sacre, M. (2010). Model-eliciting activities: Assessing engineering student problem solving and skill integration processes. International Journal of Engineering Education, 26, 831-845.
39. Zawojewski, J. S., Hjalmarson, J. S., Bowman, K., & Lesh, R. (2008). A modeling perspective on learning and teaching in engineering education. In J. Zawojewski, H. Diefes-Dux, & K. Bowman (Eds.), Models and modeling in engineering education: Designing experiences for all students. Rotterdam, the Netherlands: Sense.