Professional development through engineering academies: An examination of elementary teachers' recognition and understanding of engineering

Journal of Engineering Education

Volumn 100, Issue 3, 2011, Pages 520-539

  Duncan, Daphne ^a   Diefes Dux, Heidi ^a   Gentry, Marcia ^a  

^a PURDUE UNIVERSITY   (United States)

Author keywords

Bloom's Taxonomy; Elementary engineering education; Teacher professional development

Indexed keywords

BLOOMS (METAL); EDUCATION; ENGINEERING EDUCATION; STUDENTS; TAXONOMIES;

BLOOM'S TAXONOMY; CLASSROOM SETTINGS; CODING SCHEME; COGNITIVE LEVELS; ELEMENTARY TEACHERS; ENGINEERING ACADEMY; PROFESSIONAL DEVELOPMENT; TEACHER PROFESSIONAL DEVELOPMENT;

TEACHING;

EID: 80051535275     PISSN: 10694730     EISSN: None     Source Type: Journal    
DOI: 10.1002/j.2168-9830.2011.tb00025.x     Document Type: Article

References (24)

1. Almerico, G. M., & Baker, R. K. (2004). Bloom's taxonomy illustrative verbs: Developing a comprehensive list for educator use. Florida Association of Teacher Educators Journal,1(4), 1-10.
2. Anderson, L. W., & Krathwohl, D. R. (Eds.). (2001). A taxonomy for learning, teaching and assessing: A revision of Bloom's Taxonomy of educational objectives: Complete edition. New York, NY: Longman.
3. Athanassiou, N., McNett, J. M., & Harvey, C. (2003). Critical thinking in the management classroom: Bloom's taxonomy as a learning tool. Journal of Management Education, 27(5), 533-555. (Pubitemid 37311813)
4. Bloom B. S. (1956). Taxonomy of educational objectives, handbook I: The cognitive domain. New York, NY: David McKay Co. Inc.
5. Blumenfeld, J. S., Krajcik, R. W., Marx, R. W., & Soloway, E. (1994). Lessons learned: How collaboration helped middle grade science teachers learn project-based instruction. The Elementary School Journal, 94(5), 539-551.
6. Cunningham, C. M. (2004). Project Director, Engineering is Elementary, Boston Museum of Science. Retrieved from http://www.mos.org/eie
7. Douglas, J., Iverson, E., & Kalyandurg, C. (2004). Engineering in the k-12 classroom: An analysis of current practices & guidelines for the future. Washington, DC: ASEE Engineering K-12 Center.
8. Downing, J. E., Filer, J. D., & Chamberlain, R.A. (1997). Science process skills and attitudes of preservice elementary teachers. Paper presented at the Annual Meeting of the Mid-South Educational Research Association, Memphis, TN.
9. Duncan, D., Oware, E., Cox, M.F., and Diefes-Dux, H. A. (2007). Program and curriculum assessment for the institute for P-12 engineering research and learning (INSPIRE) summer academies for P-6 teachers. Proceedings of the ASEE Annual Conference & Exposition, Honolulu, HI.
10. Floyd, F. J., & Widaman, K. F. (1995). Factor analysis in the development and refinement of clinical assessment instruments. Psychological Assessment, 7(3), 286-299.
11. Forehand, M. 2005. Bloom's taxonomy: Original and revised. In M. Orey (Ed.), Emerging perspectives on learning, teaching and technology. Retrieved from http://projects.coe.uga.edu/epltt/index.php?title=Bloom%27s-Taxonomy
12. Gable, R. K., & Wolf, M. B. (1993). Instrument development in the affective domain. Boston, MA: Kluwer.
13. Granello, D. H. 2001. Promoting cognitive complexity in graduate written work: Using Bloom's taxonomy as a pedagogical tool to improve literature reviews. Counselor Education and Supervision, 40(4), 292-307.
14. Hains-Allen, J., & Beck, M. (2006). Milton is missing. Purdue University, West Lafayette, IN.
15. Hill, H. C., Rowan, B., & Ball, D. L. (2005). Effects of teachers' mathematical knowledge for teaching on student achievement. American Educational Research Journal, 42(2), 371-406. (Pubitemid 40882630)
16. Jeffers, A. T., Safferman, A. G., & Safferman, M. (2004). Understanding k-12 engineering outreach programs. Journal of professional issues in engineering education and practice 130(2), 95-108. (Pubitemid 40302676)
17. Krathwohl, D. R. (2002). A revision of Bloom's Taxonomy: An overview. Theory into Practice, 41(4), 212-218.
18. Lesh, R., Hoover, M., Hole, B., Kelly, A., & Post, T. (2000). Principles for developing thought revealing activities for students and teachers. In A. Kelly & R. Lesh (Eds.), Handbook of research design in mathematics and science education (pp. 591-645). Hillsdale, NJ: Lawrence Erlbaum Associates.
19. Lombard, M., Snyder-Duch, J, & Bracken, C. C. (2008). Practical resources for assessing and reporting intercoder reliability in content analysis research projects. Retrieved from http://www.temple.edu/sct/mmc/reliability/ - Why should content analysis researchers care about intercoder reliability
20. Merriam, S. B. (1998). Qualitative research and case study applications in education. San Francisco, CA: Jossey-Bass.
21. Rogers, C., & Portsmore, M. (2004). Bringing engineering to elementary school. Journal of STEM education, 3(3-4), 17-28.
22. Salkind, N. J. (2006). Tests and measurement for people who (think they) hate tests and measurement. Thousand Oaks, CA: Sage Publications.
23. Weller, S. C., & Romney, A. K. (1990). Metric scaling: Correspondence and Sage University paper series of quantitative applications in the social sciences. Newbury Park, CA: Sage.
24. Wilson, L. O. (2006). Wilson's curriculum pages: Beyond Bloom-A new version of the cognitive taxonomy. Retrieved from http://www.uwsp.edu/education/ lwilson/curric/newtaxonomy. Htm