Explorations in Technology Education Research pp 173-191 | Cite as
Design Cognition and Student Performance
Abstract
The teaching of engineering in US schools has seen a surge in popularity since the turn of the twenty-first century, and as design is considered a defining characteristic of engineers, the practice of engineering design has become a critical component of technology education. Consequently, research related to design cognition in engineering/technology education has become more prevalent in the literature. However, there are often minimal discussions on bridging design research with practice. Therefore, this chapter will present a design cognition research methodology developed to help inform engineering/technology education practice, the results of a study employing this method, and the implications for teaching and learning.
References
- Antony, G. (1996). Active learning in a constructivist framework. Educational Studies in Mathematics, 31(4), 349–369.CrossRefGoogle Scholar
- Asunda, P. A., & Hill, R. B. (2007). Critical features of engineering design in technology education. Journal of Industrial Teacher Education, 44(1), 25–48 Retrieved from http://scholar.lib.vt.edu/ejournals/JITE/v44n1/pdf/asunda.pdf.Google Scholar
- Ayvaci, H. S. (2013). Investigating the effectiveness of predict observe explain strategy on teaching photo electricity topic. Journal of Baltic Science Education, 12(5), 548–564.Google Scholar
- Barak, M., & Hacker, M. (2011). Learning theories for engineering and technology education. In M. Barak & M. Hacker (Eds.), Fostering human development through engineering and technology education (pp. vii–vxi). Rotterdam: Sense Publishers.CrossRefGoogle Scholar
- Berland, L. K. (2013). Designing for STEM integration. Journal of Pre-College Engineering Education Research, 3(1), 22–31.Google Scholar
- Berland, L. K., & Busch, K. (2012). Negotiating STEM epistemic commitments for engineering design challenges. American Society for Engineering Education. pp 00856-19. 2012., 00856-00819.Google Scholar
- Bransford, J. D., & Vye, N. J. (1989). A perspective on cognitive research and its implications for instruction. In L. Resnick & L. E. Klopfer (Eds.), Toward the thinking curriculum: Current cognitive research (pp. 173–205). Alexandria: ASCD.Google Scholar
- Cool, N., Strimel, G. J., Croly, M., & Grubbs, M. E. (2017). Making mason beehives: Teaching proper “making” skills through authentic engineering design contexts. Technology and Engineering Teacher, 76(8), 20–25.Google Scholar
- Cross, N. (2004). Expertise in design: An overview. Design Studies, 25(5), 427–441.CrossRefGoogle Scholar
- Goldstone, R. L., & Sakamoto, Y. (2003). The transfer of abstract principles governing complex adaptive systems. Cognitive Psychology, 46(4), 414–466.CrossRefGoogle Scholar
- Grubbs, M. E. (2014). Genetically modified organisms: A design-based biotechnology approach. Technology and Engineering Teacher, 73(7), 24–29.Google Scholar
- Grubbs, M. E. (2016). Further characterization of high school pre- and non-engineering students’ cognitive activity during engineering design. Doctoral dissertation. Retrieved from ProQuest dissertations and theses database. (UMI No. 3662376).Google Scholar
- Grubbs, M. E., & Strimel, G. (2015). Engineering design: The great integrator. Journal of STEM Teacher Education, 50(1), 77–90.CrossRefGoogle Scholar
- Grubbs, M. E. & Strimel, G. J. (2016, June 26). Cognitive research: Transferring theories and findings to k-12 engineering educational practice. American society for engineering education 103rd annual conference and exposition. New Orleans, LA.Google Scholar
- Grubbs, M. E., Strimel, G. J., & Kim, E. (2018). Examining design cognition coding schemes for P-12 engineering education. International Journal of Design & Technology Education, 1–23. https://link-springer-com.ezproxy.lib.purdue.edu/content/pdf/10.1007%2Fs10798-017-94 27-y.pdf.
- Halfin, H. H. (1973). Technology: A process approach. Doctoral dissertation, West Virginia University, 1973. Dissertation abstracts International, (1) 1111A.Google Scholar
- Harris, T. A., & Jacobs, H. R. (1995). On effective methods to teach mechanical design. Journal of Engineering Education, 84(4), 343–349.CrossRefGoogle Scholar
- Haynie, W. J. (2008). Are we compromising safety in the preparation of technology education teachers? Journal of Technology Education, 19(2), 94–98.Google Scholar
- Haynie, W. J., III. (2009). Safety and liability in the new technology laboratory. Technology Teacher, 69(3), 31–36.Google Scholar
- Hill, R. B., & Wicklein, R. C. (1999). A factor analysis of primary mental processes for technological problem-solving. Journal of Industrial Teacher Education, 36(2), 83–100.Google Scholar
- International Society for Technology in Education & Computer Science Teachers Association. (2011). Operational definition of computational thinking for K-12 education. Retrieved from http://www.iste.org/docs/ct-documents/computational-thinking-operational-definition-flyer.pdf?sfvrsn=2
- International Technology and Engineering Educators Association (ITEA/ITEEA). (2000/2002/2007). Standards for technological literacy: Content for the study of technology. Reston: Author.Google Scholar
- Jonassen, D. H., Strobel, J., & Lee, C. B. (2006). Everyday problem-solving in engineering: Lessons for engineering educators. Journal of Engineering Education, 95(2), 139–151.CrossRefGoogle Scholar
- Kaminski, J. A., Sloutsky, V. M., & Heckler, A. (2009). Transfer of mathematical knowledge: The portability of generic instantiations. Child Development Perspectives, 3(3), 151–155.CrossRefGoogle Scholar
- Kelley, T. R. (2008). Cognitive processes of students participating in engineering-focused design instruction. Journal of Technology Education, 19(2), 50–64.Google Scholar
- Lombardi, M. (2007). Authentic learning for the 21st century: An overview. Retrieved from http://net.educause.edu/ir/library/pdf/eLi3009.pdf
- Magana, A. J., & Coutinho, G. S. (2017). Modeling and simulation practices for a computational thinking-enabled engineering workforce. Computer Applications in Engineering Education. https://doi.org/10.1002/cae.21779.CrossRefGoogle Scholar
- Merrill, C., Custer, R. L., Daugherty, J., Westrick, M., & Zeng, Y. (2009). Delivering core engineering concepts to secondary level students. Journal of Technology Education, 20(1), 48–64.Google Scholar
- National Academy of Engineering and National Research Council. (2009). Engineering in K-12 education. Washington, DC: National Academies Press.Google Scholar
- National Academy of Engineering and National Research Council. (2014). STEM integration in k-12 education: Status, prospects, and an agenda for research. Washington, DC: The National Academies Press. https://doi.org/10.17226/18612.CrossRefGoogle Scholar
- National Research Council. (2011). Report of a workshop on the pedagogical aspects of computational thinking. Washington, DC: The National Academies Press.Google Scholar
- NGSS Lead States. (2013). Next generation science standards: For states, by states. Washington, DC: National Academies Press.Google Scholar
- Orr, T., & Flowers, J. (2014). An experimental approach to everything. Technology and Engineering Teacher, 73(8), 8–12.Google Scholar
- Portz, S. (2014). Teaching project management. Technology and Engineering Teacher, 73(7), 19–23.Google Scholar
- Strimel, G. (2014a). Authentic education by providing a situation for student-selected problem based learning. Technology and Engineering Teacher, 73(7), 8–18.Google Scholar
- Strimel, G. J. (2014b). Engineering design: A cognitive process approach. Doctoral dissertation. Retrieved from ProQuest Dissertations and Theses database. (UMI No. 3662376).Google Scholar
- Strimel, G., & Grubbs, M. E. (2016). Positioning technology and engineering education as a key force in STEM education. Journal of Technology Education, 27(2), 21–36.CrossRefGoogle Scholar
- Strimel, G. J., Grubbs, M. E., & Wells, J. G. (2016). Engineering education: A clear decision. Technology and Engineering Teacher, 76(4), 18–24.Google Scholar
- Wicklein, R. C., & Rojewski, J. W. (1999). Toward a “unified curriculum framework” for technology education. Journal of Industrial Teacher Education, 36(4), 38–56.Google Scholar