A MODELING PERSPECTIVE ON LEARNING AND TEACHING IN ENGINEERING EDUCATION

Models and Modeling in Engineering Education: Designing Experiences for All Students

Volumn , Issue , 2008, Pages 1-15

  Zawojewski, Judith S ^a   Hjalmarson, Margret A ^b   Bowman, Keith J ^b   Lesh, Richard ^c  

^a ILLINOIS INSTITUTE OF TECHNOLOGY   (United States)

^b PURDUE UNIVERSITY   (United States)

^c Indiana University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85098553318     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1163/9789087904043_002     Document Type: Chapter

References (26)

1. Cross, N. (1994). Engineering design methods: Strategies for product design. Chichester: John Wiley & Sons.
2. Diefes-Dux, H. A., Hjalmarson, M., Zawojewski, J., & Bowman, K. (2006). Quantifying aluminum crystal size part 1: The model-eliciting activity. Journal of STEM Education: Innovations and Research, 7(1/2), 51-63.
3. Eisenhart, M. A., & Finkel, E. (1998). Women’s science: Learning and succeeding from the margins. Chicago: University of Chicago Press.
4. EAC (Engineering Accreditation Commission). (2004). Criteria for Accrediting Engineering Programs 2004-2005. Retrieved October 15, 2004, from www.abet.org
5. Gagne, R. M. (1975). Essentials of learning for instruction. New York: Holt, Reinhardt & Winston.
6. Gagne, R. M., & Briggs, L. (1974). Principles of instructional design. Holt, Rinehart & Winston.
7. Gainsburg, J. (2003, April). Abstraction and concreteness in the everyday mathematics of structural engineers. Paper presented at the annual meeting of the American Education Research Association, Chicago, IL.
8. Gainsburg, J. (2006). The mathematical modeling of structural engineers. Mathematical Thinking and Learning, 8(1), 3-36.
9. Gainsburg, J. (2007). The mathematical disposition of structural engineers. Journal for Research in Mathematics Education, 38(5), 477-506.
10. Grimson, J. (2002). Re-engineering the curriculum for the 21st century. European Journal of Engineering Education, 27(1), 31-37.
11. Hoyles, C., Noss, R., & Pozzi, S. (2001). Proportional reasoning in nursing practice. Journal for Research in Mathematics Education, 32(1), 4-27.
12. Lesh, R., Cramer, K., Doerr, H. M., Post, T., & Zawojewski, J. (2003). Model-development sequences. In R. Lesh & H. M. Doerr (Eds.), Beyond constructivism: Models and modeling perspectives on mathematics problems solving, learning and teaching (pp. 35-58). Mahwah, NJ: Lawrence Erlbaum Associates.
13. Lesh, R., & Doerr, H. M. (2003). Foundation of a models and modeling perspective on mathematics: Teaching, learning, and problem solving. In R. A. Lesh and H. M. Doerr (Eds.), Beyond constructivism: Models and modeling perspective on mathematics problem solving, learning, and teaching (pp. 3-34). Mahwah, NJ: Lawrence Erlbaum Associates.
14. Lesh, R., Hoover, M., Hole, B., Kelly, A., & Post, T. (2000). Principles for developing thought-revealing activities for students and teachers, In A. E. Kelly & R. A. Lesh (Eds.), Handbook of research design in mathematics and science education (pp. 591-646). Mahwah, NJ: Lawrence Erlbaum Associates.
15. Lesh, R., & Zawojewski, J. S. (2007). Problem solving and modeling. In F. Lester (Ed.), Second handbook of research on mathematics teaching and learning (pp. 763-804). Charlotte, NC: Information Age Publishing.
16. Lester, F. K., & Kehle, P. E. (2003). From problem solving to modeling: The evolution of thinking about research on complex mathematical activity. In R. Lesh & H. Doerr (Eds.), Beyond constructivism: Models and modeling perspectives on mathematics problem solving, learning and teaching. Mahwah, NJ: Lawrence Erlbaum and Associates.
17. Magajna, Z., & Monaghan, J. (2003). Advanced mathematical thinking in a technological workplace. Educational Studies in Mathematics, 52, 101-122.
18. Margolis, J., & Fisher, A. (2002). Unlocking the clubhouse: Women in computing. Cambridge, MA: MIT Press.
19. Mathematics Sciences Education Board (Ed.). (1998). High school mathematics at work: Essays and examples for the education of all students. Washington, DC: National Academies Press.
20. National Academy of Engineering. (2004). The engineer of 2020: Visions of engineering in the new century. Washington, DC: The National Academies Press.
21. Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice Hall.
22. Noss, R., & Hoyles, C. (1996). The visibility of meanings: Modelling the mathematics of banking. International Journal of Computers for Mathematical Learning, 7(1), 3-31.
23. Noss, R., Hoyles, C., & Pozzi, S. (2002). Abstraction in expertise: A study of nurses’ conceptions of concentration. Journal for Research in Mathematics Education, 33(3), 204-229.
24. Oakes, W., & Rud R. (2003). The EPICS model in engineering education: Perspective on problem-solving abilities needed for success beyond schools. In R. Lesh & H. Doerr (Eds.), Beyond constructivism: Models and modeling perspectives on mathematics teaching, learning and problem solving (pp. 223-239). Mahwah, NJ: Lawrence Erlbaum Associates.
25. Packer, A. (1998). SCANS and mathematics—Supporting the transition from schools to careers. In Mathematical Sciences Board (Ed.), High school mathematics at work: Essays and examples for the education of all students (pp. 67-69). Washington, DC: National Academies Press.
26. Seymour, E., & Hewitt, N. M. (1997). Talking about leaving: Why undergraduates leave the sciences. Boulder, CO: Westview Press.