Integration of mathematics in a pre-college engineering curriculum: The search for explicit connections

ASEE Annual Conference and Exposition, Conference Proceedings

Volumn , Issue , 2009, Pages

  Prevost, Amy ^a   Nathan, Mitchell ^a   Stein, Benjamin ^a   Tran, Natalie ^b   Phelps, Allen ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b CALIFORNIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EDUCATION; ENGINEERING EDUCATION; INTEGRATION; PERSONNEL TRAINING; STUDENTS; TEACHING; TECHNICAL PRESENTATIONS;

ENGINEERING ACTIVITIES; ENGINEERING CONCEPTS; ENGINEERING CURRICULUM; EXPLICIT CONNECTIONS; EXPLICIT INTEGRATION; PERFORMANCE OBJECTIVE; PRE-ENGINEERING CURRICULA; TECHNICAL EDUCATIONS;

CURRICULA;

EID: 85029123538     PISSN: None     EISSN: 21535965     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (26)

1. Redish, E. F., & K.A. Smith. 2008. Looking beyond content: Skill development for engineers. Journal of Engineering Education, 97 (3): 295-307.
2. Streveler, R. A., Litzinger, T. A., Miller, R. L., & Steif, P. S. (2008). Learning conceptual knowledge in the engineering sciences: Overview and future research directions. Journal of Engineering Education, 97, 279-294.
3. Bransford, J. D. and Schwartz. D. L. (1999). Rethinking transfer: A simple proposal with multiple implications. Review of Research in Education, 24, 61-100.
4. Judd, C. H. (1908). The relation of special training to general intelligence. Educational Review, 36, 28-42
5. Stone, J.R., Alfeld, C., & Pearson, D. (2008). Rigor and relevance: Enhancing high school students' math skills through career and technical education. American Educational Research Journal, 45(3), 767-795.
6. From http://www.pltw.org/ Engineering/Curriculum/Curriculum-high-school. cfm accessed on 1/13/09
7. National Research Council. (2007). Rising Above the Gathering Storm: Energizing and Employing America for a Brighter Economic Future. Washington, DC: National Academies Press.
8. Nathan, M. J. Tran, N., Phelps, L. A., & Prevost, A. (2008). The structure of high school academic and preengineering curricula: Mathematics. Proceedings of the American Society of Engineering Education (ASEE) 2008 (Paper no. AC 2008-2566: pp. 1-19.) Washington, DC.: ASEE Publications.
9. National Council of Teachers of Mathematics. (2000). Principles and standards for school mathematics. Reston, VA: Author.
10. Welty, K., L. Katehi, and G. Pearson. 2008. Analysis of K-12 Engineering Education Curricula in the United States-A Preliminary Report. In Proceedings of the American Society for Engineering Education Annual Conference and Exposition. Pittsburgh, PA
11. Nathan, M. J. Tran, N., Phelps, L. A., & Prevost, A. (2008). The structure of high school academic and preengineering curricula: Mathematics. Proceedings of the American Society of Engineering Education (ASEE) 2008 (Paper no. AC 2008-2566: pp. 1-19.) Washington, DC.: ASEE Publications.
12. Porter, A. C. (2004). Curriculum assessment. In J. C. Green, G. Camill & P. B. Elmore (Eds). Complementary methods for research in education (3rd edition), Washington, DC: American Educational Research Association.
13. Nathan, M. J., Oliver, K., Prevost, A., Tran, N., & Phelps, L. A. (2009). Classroom learning and instruction in high school pre-engineering settings: A video-based analysis. Awaken Project working document: Authors.
14. Nathan, M. J., Long, S. D., & Alibali, M. W. (2002). The symbol precedence view of mathematical development: A corpus analysis of the rhetorical structure of textbooks. Discourse Processes, 33(1), 1-21.
15. Nathan, M. J. & Koedinger, K. R. (2000). An investigation of teachers' beliefs of students' algebra development. Cognition and Instruction, 18(2), 209-237.
16. http://www.pltw.org/Engineering/Curriculum/sample-schedule.cfm, accessed 02/02/09
17. National Research Council (2004). On Evaluating Curricular Effectiveness: Judging the Quality of K-12 Mathematics Evaluations. Committee for a Review of the Evaluation Data on the Effectiveness of NSFSupported and Commercially Generated Mathematics Curriculum Materials, Jere Confrey and Vicki Stohl, Editors, Washington, DC.: National Academy Press.
18. http://standards.nctm.org/document/chapter7/alg.htm; accessed 01/12/09
19. Tran, N. & Nathan, M. J. (2008). An investigation of the relationship between pre-engineering studies and student achievement in science and mathematics. AWAKEN Project working document (manuscript under review): Authors.
20. http://www.pltw.org/Engineering/engineering.cfm; accessed 01/19/09
21. http://www.PLTW.org/faqs/schools-more-2.htm,accessed 01/19/ 09
22. Britton, E., Huntley, M.A., Jacobs, G. and Shulman-Weinberg, A. Connecting Mathematics and Science to Workplace Contexts: A Guide to Curriculum Materials. Thousand Oaks, CA: Corwin Press.
23. ™ Analysis of Cognitive Levels of Learning and Mathematics and Science Content. Retrieved 01/03/09 from http://www.pltw.org/ Engineering/engineering.cfm. Clifton Park, NY: Project Lead the Way, Inc.
24. Nathan, M. J., Koedinger, K. R., & Alibali, M. W. (2001). Expert blind spot: When content knowledge eclipses pedagogical content knowledge. In L. Chen et al. (Eds.), Proceeding of the Third International Conference on Cognitive Science. (pp. 644-648). Beijing, China: USTC Press.
25. Nathan, M. J. & Petrosino, A. J. (2003). Expert blind spot among preservice teachers. American Educational Research Journal. 40(4), 905-928.
26. Bransford, J., Vye, N., Bateman, H., Brophy, S. & Roselli, B. (2004). Vanderbilt's AMIGO3 Project: Knowledge of How People Learn Enters Cyberspace. In Thomas M. Duffy and Jamie R. Kirkley (eds.). Learner-Centered Theory and Practice in Distance Education. Mahwah, NJ: Erlbaum.