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Spatial Skills Training in Introductory Computing

Published:09 August 2015Publication History

ABSTRACT

This paper explores the question as to whether there is a relationship between a student's spatial abilities and her achievement in learning to program. After noting that there does seem to be a correlation, the paper explores the impact of trying to improve a student's spatial abilities. The paper reports on a preliminary study involving high school students. The study results suggest a correlation exists between receiving training in spatial skills and improved student performance in introductory computing. While the sample size in the study is small, this improvement appears to occur for students of different races/ethnicities and across different socio-economic statuses.

References

  1. Barke, H.-D. & Engida, T. 2001. Structural Chemistry and Spatial Ability in Different Cultures. Chemistry Education: Research and Practice in Europe, 2(3): p. 227--239.Google ScholarGoogle ScholarCross RefCross Ref
  2. Bowers, D. & Evans, D. 1990. The role of visualization in engineering design. Proceedings of the NSF Symposium on Modernization of the Engineering Design Graphics Curriculum, Austin, TX, 89--94.Google ScholarGoogle Scholar
  3. California Department of Education. Academic performance index. http://www.cde.ca.goc/ta/ac/ap/ Accessed 8/28/2014.Google ScholarGoogle Scholar
  4. Casey, B. M., Dearing, E., Vasilyeva, M., Ganley, C. and Tine, M. 2011. Spatial and numerical predictors of measurement performance: The moderating effects of community poverty and gender. Journal of Educational Psychology, 103: 296--311.Google ScholarGoogle ScholarCross RefCross Ref
  5. Cohen, C. & Hegarty, M. 2007. Individual differences in use of external visualization to perform an internal visualization task. Applied Cognitive Psychology, 21, 701--711.Google ScholarGoogle ScholarCross RefCross Ref
  6. College Board. (2010). 2009 ap computer science a released exam. New York: The College Board.Google ScholarGoogle Scholar
  7. Fahey, T., Keilthy, P. & Polek, E. 2012. Family relationships and family well-being: A study of the families of nine year-olds in ireland. Dublin: University College Dublin.Google ScholarGoogle Scholar
  8. Fennema, E. & Sherman, J. 1977. Sexual stereo-typing and mathematics learning. Arithmetic Teacher, 24(5), 369--372.Google ScholarGoogle ScholarCross RefCross Ref
  9. Fennema, E., & Sherman, J. 1977. Sex-related differences in mathematics achievement, spatial visualization and affective factors. American educational research journal, 14(1), 51--71.Google ScholarGoogle Scholar
  10. Field, B. W. 1994. A course in spatial visualization. Proceedings of the 6th International Conference on Engineering Design Graphics and Descriptive Geometry, Tokyo, Japan, 257--261.Google ScholarGoogle Scholar
  11. Fincher, S., Baker, B., Box, I., Cutts, Q., de Raadt, M., Haden, P., Hamer, J., Hamilton, M., Lister, R. & Petre, M. 2005. Programmed to succeed? A multi-national, multi-institutional study of introductory programming courses (University of Kent, Computing Laboratory Technical Report 1-05). http://www.cs.kent.ac.uk/pubs/2005/2157/ Accessed 8/25/2014Google ScholarGoogle Scholar
  12. Fisher, M., Cox, A. & Zhao, L. 2006. Using sex differences to link spatial cognition and program comprehension. In Proceedings of the 22nd IEEE International Conference on Software Maintenance (ICSM), 289--298. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Gimmestad, B. J. 1989. Gender differences in spatial visualization and predictors of success in an engineering design course. Proceedings of the National Conference on Women in Mathematics and the Sciences, St. Cloud, MN, 133--136.Google ScholarGoogle Scholar
  14. Guay, R. B. 1976. Purdue spatial visualization test: Rotations. West Lafayette, IN, Purdue Research Foundation.Google ScholarGoogle Scholar
  15. Gunderson, E. A., Ramirez, G., Levine, S. C., & Beilock, S. L. 2012. The role of parents and teachers in the development of gender-related math attitudes. Sex Roles, 66(3-4), 153--166.Google ScholarGoogle ScholarCross RefCross Ref
  16. Guzdial, M., Ericson, B., McKlin, T. & Engelman, S. 2012. A statewide survey on computing education pathways and influences: factors in broadening participation in computing. In Proceedings of the ninth annual international conference on International computing education research (ICER '12), 143--150. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Hattie, J. 2013. Visible learning: A synthesis of over 800 meta-analyses relating to achievement. Routledge.Google ScholarGoogle Scholar
  18. Hier, D. B. & Crowley, Jr., W. F. 1982. Spatial ability in androgen-deficient men. New England Journal of Medicine, 306(20), 1202--1205.Google ScholarGoogle ScholarCross RefCross Ref
  19. Hoegh, A. & Moskal, B. 2009. Examining science and engineering students' attitudes toward computer science. In Proceedings of the Frontiers in Education Conference, San Antonio, Texas (6 pages). Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Hyde, J. S. 1981. How large are cognitive gender differences? A meta-analysis using ω2 and d. American Psychologist, 36(8), 892--901.Google ScholarGoogle ScholarCross RefCross Ref
  21. Jones, S. & Burnett, G. 2007. Spatial skills and navigation of source code. In Proceedings of ITiCSE 2007, 231--235. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Jones, S. & Burnett, G. 2008. Spatial ability and learning to program. Human Technology, 4(1), 47--61.Google ScholarGoogle ScholarCross RefCross Ref
  23. Krogstad, J. & Cohn, D. 2014. U.S. census looking at big changes in how it asks about race and ethnicity. Available from: http://www.pewresearch.org/fact-tank/2014/03/14/u-s-census-looking-at-big-changes-in-how-it-asks-about-race-and-ethnicity/ Accessed 8/29/2014Google ScholarGoogle Scholar
  24. Liberatos, P., Link, B. & Kelsey, J. 1988. The measurement of social class in epidemiology. Epidemiologic Reviews, 10, 87--121.Google ScholarGoogle ScholarCross RefCross Ref
  25. Levine, S. C., Vasilyeva, M., Lourenco, S. F., Newcombe, N. S. & Huttenlocher, J. 2005. Socioeconomic status modifies the sex difference in spatial skill. Psychological Science. American Psychological Society, 16(11) 841--845.Google ScholarGoogle ScholarCross RefCross Ref
  26. Lindberg, S. M., Hyde, J. S., Petersen, J. L., & Linn, M. C. 2010. New trends in gender and mathematics performance: a meta-analysis. Psychological Bulletin, 136(6), 1123--1135.Google ScholarGoogle ScholarCross RefCross Ref
  27. Linn, M. C. & Petersen, A. C. 1985. Emergence and characterization of sex differences in spatial ability: A meta-analysis. Child Development, 56, 1479--1498.Google ScholarGoogle ScholarCross RefCross Ref
  28. Maccoby, E. E. & Jacklin, C. N. (Eds.). 1974. The psychology of sex differences (Vol. 1). Stanford, CA: Stanford University Press.Google ScholarGoogle Scholar
  29. Maier, P. H. (1994). Raeumliches vorstellungsvermoegen. Frankfurt a.M., Berlin, Bern, New York, Paris, Wien: Lang.Google ScholarGoogle Scholar
  30. Mayer, R. E., Dyck, J. L. & Vilberg, W. 1986. Learning to program and learning to think: What's the connection? Communications of the ACM, 29, 605--610. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. McKim, R. H. 1980. Experiences in visual thinking. Boston, MA: PWS Publishers.Google ScholarGoogle Scholar
  32. Moskal, B., Lurie, D. & Cooper, S. 2004. Evaluating the effectiveness of a new instructional approach. SIGCSE Bull. 36, 1 (March 2004), 75--79. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. Newcombe, N., Bandura, M. M., & Taylor, D. G. 1983. Sex differences in spatial ability and spatial activities. Sex Roles, 9(3), 377--386.Google ScholarGoogle ScholarCross RefCross Ref
  34. Norman, K. L. 1994. Spatial visualization-A gateway to computer-based technology. Journal of Special Educational Technology, XII(3), 195--206.Google ScholarGoogle ScholarCross RefCross Ref
  35. Office of Measurement and Evaluation of Teaching, University of Pittsburgh. Item difficulty item discrimination. http://www.omet.pitt.edu/docs/OMET%20Test%20and%20Item%20Analysis.pdf Accessed 8/29/2014Google ScholarGoogle Scholar
  36. Ou, S.-R. & Reynolds, A. 2008. Predictors of educational attainment in the chicago longitudinal study. School Psychology Quarterly, 23(2), 199--229.Google ScholarGoogle ScholarCross RefCross Ref
  37. Shapiro, S. S., & Wilk, M. B. 1965. An analysis of variance test for normality (complete samples). Biometrika, 591--611.Google ScholarGoogle Scholar
  38. Smith, I. M. 1964. Spatial ability-Its educational and social significance. London: University of London.Google ScholarGoogle Scholar
  39. 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 ScholarGoogle Scholar
  40. Sorby, S. A. & Gorska, R. A. 1998. The effect of various courses and teaching methods on the improvement of spatial ability. Proceedings of the 8th International Conference on Engineering Design Graphics and Descriptive Geometry, Austin, TX, 252--256.Google ScholarGoogle Scholar
  41. Sorby, S. A. 2000. Spatial abilities and their relationship to effective learning of 3-d modeling software. Engineering Design Graphics Journal, 64(3), 30--35.Google ScholarGoogle Scholar
  42. Sorby, S. A. 2001. A course in spatial visualization and its impact on the retention of women engineering students. Journal of Women and Minorities in Science and Engineering, 7(2), 153--172.Google ScholarGoogle ScholarCross RefCross Ref
  43. Sorby, S. A. 2011. Developing Spatial Thinking Workbook. Boston, MA: Cengage Learning.Google ScholarGoogle Scholar
  44. Study, N. E. 2006. Assessing and improving the below average visualization abilities of a group of minority engineering and technology students. Journal of Women and Minorities in Science and Engineering, 12 (4) 363--374.Google ScholarGoogle ScholarCross RefCross Ref
  45. Tartre, L. 1990. Spatial skills, gender, and mathematics. In E. H. Fennema & G. C. Leder (Eds.), Mathematics and Gender, (pp. 27--59). New York, NY: Teachers College Press.Google ScholarGoogle Scholar
  46. Webb, N. 1984. Microcomputer learning in small groups: Cognitive requirements and group processes. Journal of Educational Psychology, 76, 1076--1088.Google ScholarGoogle ScholarCross RefCross Ref
  47. Weinburgh, M. 1995. Gender differences in student attitudes toward science: A meta-analysis of the literature from 1970 to 1991. Journal of Research in Science Teaching, 32(4), 387--398.Google ScholarGoogle ScholarCross RefCross Ref
  48. Wiebe, E. N., Williams, L., Yang, K. & Miller, C. 2003. Computer Science Attitude Survey. (Report No.: NCSU CSC TR-2003-1) NC State University, Raleigh, NC.Google ScholarGoogle Scholar
  49. Yoon, S. Y. (2011). Revised purdue spatial visualization test: Visualization of rotations (Revised PSVT:R) {Psychometric Instrument}Google ScholarGoogle Scholar

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    • Published in

      cover image ACM Conferences
      ICER '15: Proceedings of the eleventh annual International Conference on International Computing Education Research
      July 2015
      300 pages
      ISBN:9781450336307
      DOI:10.1145/2787622

      Copyright © 2015 ACM

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      Publication History

      • Published: 9 August 2015

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