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The CEDA Manual and Directions

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Creative Engineering Design Assessment

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Abstract

This manual includes directions for administering and scoring the Creative Engineering Design Assessment (CEDA). As previously suggested (Charyton and Merrill 2009) the CEDA is appropriate for use in high school through graduate school and could be easily used by engineering educators (Charyton et al. 2011). Further research is needed to see whether this tool is appropriate for engineers in industry. While future research will include the tool in industry, the CEDA has already been demonstrated to be related with another measure that was already normed on engineers in industry. Previous research has also shown that the CEDA is moderately related to other engineering creativity measures including the Purdue Creativity Test and the Purdue Spatial Visualization Test–Rotations. The Purdue Creativity Test was normed on professional engineers in industry with an average 12 years experience from various fields of engineering including mechanical engineering. After establishing reliability, convergent validity, and discriminant validity, the CEDA tool is deemed appropriate for dissemination.

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References

  • Bodner, G. M., & Guay, R. B. (1997). The Purdue visualization of rotations test. The Chemical Educator, 2(4), 1–17.

    Article  Google Scholar 

  • Branoff, T. J. (2000). Spatial visualization measurement: A modification of the Purdue Spatial Visualization Test—Visualization of Rotations. Engineering Design Graphics Journal, 64(2), 14–22.

    Google Scholar 

  • Carter, C. S., Larussa, M. A., & Bodner, G. M. (1987). A study of two measures of spatial ability as predictors of success in different levels of general chemistry. Journal of Research in Science Teaching, 24(7), 645–657.

    Article  Google Scholar 

  • Charyton, C. (2005). Creativity (scientific, artistic, general) and risk tolerance among engineering and music students. (Doctoral Dissertation, Temple University, 2004).

    Google Scholar 

  • Charyton, C. (2008). Creativity (scientific, artistic, general) and risk tolerance among engineering and music students. SaarbrĂ¼cken: VDM Verlag Publishing.

    Google Scholar 

  • Charyton, C., & Snelbecker, G. E. (2007). General, artistic and scientific creativity attributes of engineering and music students. Creativity Research Journal, 19, 213–225.

    Article  Google Scholar 

  • Charyton, C., & Merrill, J. A. (2009). Assessing general creativity and creative engineering design in first year engineering students. Journal of Engineering Education, 98(2), 145–156.

    Article  Google Scholar 

  • Charyton, C., Jagacinski, R. J., & Merrill, J. A. (2008). CEDA: A research instrument for creative engineering design assessment. Psychology of Aesthetics, Creativity, and the Arts, 2(3), 147–154.

    Article  Google Scholar 

  • Charyton, C., Jagacinski, R.J., Merrill, J.A., Clifton, W. & Dedios, S. (2011). Assessing creativity specific to engineering with the revised Creative Engineering Design Assessment (CEDA). Journal of Engineering Education, 100, 4, 778–799. http://www.youtube.com/watch?v=wA-PwiQ2IRQ

  • Gough, H. G. (1979). A creative personality scale for the adjective check list. Journal of Personality and Social Psychology, 37, 1398–1405.

    Article  Google Scholar 

  • Gough, H. G. (1992). Assessment of creative potential in psychology and the development of a creative temperament scale for the CPI. In J. C. Rosen & P. McReynolds (Eds.), Advances in psychology assessment (pp. 225–257). New York: Plenum.

    Chapter  Google Scholar 

  • Guay, R. B. (1978). Factors affecting spatial test performance: Sex, handedness, birth order, and experience. Paper presented at the Annual Meeting of the American Educational Research Association, Toronto, Ontario, Canada.

    Google Scholar 

  • Guay, R. B. (1980). Spatial ability measurement: A critique and an alternative. Paper presented at the Annual Meeting of the American Educational Research Association, Boston, MA.

    Google Scholar 

  • Kinsey, B., Towle, E., Hwang, G., O’Brien, E. J., Bauer, C. F., & Onyancha, R. M. (2007). Examining industry perspectives related to legacy data and technology toolset implementation. Engineering Design Graphics Journal, 71(3), 1–8.

    Google Scholar 

  • Kovac, R. J. (1989). The validation of selected spatial ability tests via correlational assessment and analysis of user-processing strategy. Educational Research Quarterly, 13(2), 26–34.

    Google Scholar 

  • Oldham, G. R., & Cummings, A. (1996). Employee creativity: Personal and contextual factors at work. Academy of Management Journal, 39, 607–634.

    Article  Google Scholar 

  • Plucker, J. A., & Renzulli, J. S. (1999). Psychometric approaches to the study of human creativity. In R. J. Sternberg (Ed.), Handbook of creativity (pp. 35–61). Cambridge: Cambridge University Press.

    Google Scholar 

  • Richardson, J. S., & Morgan, R. F. (1990). Reading to learn in the content areas. Belmont: Wadsworth Publishing Co.

    Google Scholar 

  • Roszkowski, M. J., Snelbecker, G. E., & Leimberg, S. R. (1989). Risk tolerance and risk aversion. In S. R. Leimberg (Ed.), The tools and techniques of financial planning. Cincinnati: The National Underwriter Company.

    Google Scholar 

  • Scribner, S. A., & Anderson, M. A. (2005). Novice drafters’ spatial visualization development: Influence of instructional methods and individual learning styles. Journal of Industrial Teacher Education, 42(2), 38–60.

    Google Scholar 

  • Snelbecker, G. E., McConologue, T., & Feldman, J. M. (2001). Cognitive risk tolerance survey, Unpublished manuscript.

    Google Scholar 

  • Snelbecker, G. E., Roszkowski, M. J., & Cutler, N. E. (1990). Investors’ risk tolerance and return aspirations, and financial advisors’ interpretations: A conceptual model and exploratory data. Journal of Behavioral Economics, 19, 377–393.

    Article  Google Scholar 

  • Sorby, S. A., & Baartmans, B. J. (1996). A course for the development of 3-D spatial visualization skills. Engineering Design Graphics Journal, 60(1), 13–20.

    Google Scholar 

  • Yue, J., & Chen, D.M. (2001). Does CAD improve spatial visualization ability? Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition, Albuquerque, NM.

    Google Scholar 

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Correspondence to Christine Charyton .

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Charyton, C. (2014). The CEDA Manual and Directions. In: Creative Engineering Design Assessment. SpringerBriefs in Applied Sciences and Technology. Springer, London. https://doi.org/10.1007/978-1-4471-5379-5_2

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  • DOI: https://doi.org/10.1007/978-1-4471-5379-5_2

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-5378-8

  • Online ISBN: 978-1-4471-5379-5

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