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Fractal Simulations of African Design in Pre-College Computing Education

Published:01 October 2011Publication History
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Abstract

This article describes the use of fractal simulations of African design in a high school computing class. Fractal patterns---repetitions of shape at multiple scales---are a common feature in many aspects of African design. In African architecture we often see circular houses grouped in circular complexes, or rectangular houses in rectangular complexes. Typically the accompanying ceremonies, cosmologies, and other traditions make use of scaling and recursion in their conceptual models. African scaling designs include textiles, sculpture, adornment, and other forms; in many cases there are explicit geometric algorithms and other formal aspects (e.g., pseudorandom number generation in divination systems) embedded in the associated indigenous knowledge system. Thus African fractals provide a strong counter to stereotypes of African culture as primitive or simplistic. Following this fieldwork, we developed a Web site which uses Java simulations of these African designs to teach computational perspectives on fractals to high school students.1 We hypothesized that this combination of anti-primitivist “ethnocomputing” and design-based creative learning would enhance both the engagement and performance of under-represented students in computing. A quasi-experimental study used two 10th grade computing classes, both taught by the same instructor, and both including more than 50% under-represented students (Latino and African American). The control class received six days of instruction using a popular Web site (with Java applets but no cultural content or design activities) for high school fractal lessons; the experimental class received the same amount of instruction using our Web site. Pre/post differences on both achievement and attitude tests indicate statistically significant improvement for the students in the experimental class. Potential implications for improving participation and achievement of under-represented students in computing education are discussed.

References

  1. Bear, G., Richards, H., and Lancaster, P. 1987. Attitudes toward computers: Validation of a computer attitudes scale. J. Educ. Comput. Res. 3, 2, 207--218.Google ScholarGoogle ScholarCross RefCross Ref
  2. Brown, A. L. and Campione, J. C. 1994. Guided discovery in a community of learners in Classroom Lessons: Integrating Cognitive Theory and Classroom Practice, K. McGilly Ed., MIT Press, Cambridge, MA. 229--70Google ScholarGoogle Scholar
  3. Brown, J. S. 2008. Tinkering as a Mode of Knowledge Production. Carnegie Foundation for the Advancement of Teaching. Available online at http://www.johnseelybrown.com/ (accessed 6/10).Google ScholarGoogle Scholar
  4. Bourdier, J. P. and Minh-ha, T. T. 1985. African Spaces: Designs for Living in Upper Volta. Africana Publishing Co.Google ScholarGoogle Scholar
  5. Bourdier, J. P. and Minh-ha, T. T. 2011. Vernacular Architecture of West Africa: A World in Dwelling. Routledge.Google ScholarGoogle Scholar
  6. Cook, T. D. and Campbell, D. T. 1979. Quasi Experimentation: Design and Analysis Issues for Field Settings. Rand-McNally, Chicago.Google ScholarGoogle Scholar
  7. Dahl, G. and Lochner, L. 2008. The impact of family income on child achievement: Evidence from the earned income tax credit. National Bureau of Economic Research, Working Paper No. 14599.Google ScholarGoogle Scholar
  8. Eglash, R. and Broadwell, P. 1989. Fractal geometry in traditional African architecture. Dynamics Newsletter, June.Google ScholarGoogle Scholar
  9. Eglash, R. 1999. African Fractals: Modern Computing and Indigenous Design. Rutgers University Press, New Brunswick.Google ScholarGoogle Scholar
  10. Eglash, R. 2002. Race, sex and nerds: from Black Geeks to Asian-American hipsters. Social Text 20, 2, 49--64.Google ScholarGoogle ScholarCross RefCross Ref
  11. Eglash, R., Bennett, A., O’Donnell, C., Jennings, S., and Cintorino, M. 2006. Culturally situated design tools: Ethnocomputing from field site to classroom. Am. Anthropol. 108, 2, 347--362.Google ScholarGoogle ScholarCross RefCross Ref
  12. Eglash, R. and Bennett, A. 2009. Teaching with hidden capital: Agency in children’s mathematical explorations of cornrow hairstyle simulations. Child. Youth Environ. 19, 1, April.Google ScholarGoogle Scholar
  13. Fordham, S. 1991. Peer-proofing academic competition among black adolescents: Acting white black American style. In Empowerment through Multicultural Education. C. Sleeter Ed., State University of New York Press, Albany, 69--94.Google ScholarGoogle Scholar
  14. Fryer, R. and Torelli, P. 2005. An Empirical Analysis of “Acting White.” Available online at http://post.economics.harvard.edu/faculty/fryer/papers/fryer torelli.pdf.Google ScholarGoogle Scholar
  15. Geary, D. C. 1994. Children’s Mathematical Development: Research and Practical Applications. American Psychological Association, Washington D.C.Google ScholarGoogle Scholar
  16. Gerdes, P. 1995. Une Tradition Geometrique en Afrique: les dessins sur le sable. Harmattan, Paris.Google ScholarGoogle Scholar
  17. Kawakami, A. 1995. A Study of Risk Factors Among High School Students in the Pacific Region. Pacific Resources for Education and Learning, Honolulu.Google ScholarGoogle Scholar
  18. King, J. and Schattschneider, D., Eds. 1997. Geometry Turned On!: Dynamic Software in Learning, Teaching, and Research. The Mathematical Association of America, Washington D.C.Google ScholarGoogle Scholar
  19. Lockwood, A. T. and Secada, W. G. 1999. Transforming Education for Hispanic Youth: Exemplary Practices, Programs, and Schools. NCBE Resource Collection Series, No. 12.Google ScholarGoogle Scholar
  20. Martin, D. 2000. Mathematics Success and Failure among African-American Youth: The Roles of Sociohistorical Context, Community Forces, School Influence, and Individual Agency. Lawrence Erlbaum Associates, Mahwah, NJ.Google ScholarGoogle Scholar
  21. Moore, C. G. 1994. Research in Native American Mathematics Education. For the Learning of Mathematics, 9-14, 14--22.Google ScholarGoogle Scholar
  22. National Science Board. 2008. Science and Engineering Indicators. National Science Foundation.Google ScholarGoogle Scholar
  23. Ogbu, J. and Simons, H. 1998. Voluntary and involuntary minorities: A cultural-ecological theory of school performance with some implications for education. Anthro. Educ. Quart. 29, 2, 155--188.Google ScholarGoogle Scholar
  24. Painter, N. 2006. Creating Black Americans: African American History and Its Meanings, 1619 to the Present. Oxford University Press, New York.Google ScholarGoogle Scholar
  25. Papert, S. 1980. Mindstorms: Children, Computers, and Powerful Ideas. Basic Books, New York. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Pollock, M. 2004. Race bending: “Mixed” youth practicing strategic racialization in California. Anthro. Educ. Quart. 35, 1, 30--52.Google ScholarGoogle Scholar
  27. Powell, L. 1990. Factors associated with the underrepresentation of African Americans in mathematics and science. J. Negro Educ. 59, 3.Google ScholarGoogle ScholarCross RefCross Ref
  28. Steele, C. M., Spencer, S., and Aronson, J. 2002. Contending with group image: The psychology of stereotype and social identity threat. In Advances in Experimental Social Psychology, M. Zanna Ed., vol. 37. Academic Press.Google ScholarGoogle Scholar
  29. Torres-Saillant, S. 1998. The tribulations of blackness: Stages in Dominican racial identity. Latin Am. Perspec. 100, May.Google ScholarGoogle Scholar
  30. Yerushalmy, M. 1990. Using empirical information in geometry: students’ and designers’ expectations. J. Comput. Math. Sci. Teach. 9, 3, Spring. Google ScholarGoogle ScholarDigital LibraryDigital Library

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          cover image ACM Transactions on Computing Education
          ACM Transactions on Computing Education  Volume 11, Issue 3
          October 2011
          148 pages
          EISSN:1946-6226
          DOI:10.1145/2037276
          Issue’s Table of Contents

          Copyright © 2011 ACM

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          Publication History

          • Published: 1 October 2011
          • Accepted: 1 January 2011
          • Revised: 1 November 2010
          • Received: 1 January 2010
          Published in toce Volume 11, Issue 3

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