Skip to main content

Affective Factors and Computational Estimation Ability

  • Chapter
Affect and Mathematical Problem Solving

Abstract

The purpose of this study was to examine the influence of affective factors on the computational estimation ability of preservice teachers. Past research has delineated the cognitive processes used by good estimators (Reys, Rybolt, Bestgen, & Wyatt, 1980) and poor estimators (Threadgill-Sowder, 1984). The good estimators in the Reys et al. study seemed to have acquired estimation skills without any formal instruction. Are there also noncognitive factors that influence people to acquire such skills?

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Bestgen, B.J., Reys, R.E., Rybolt, J.F., & Wyatt, J.W. (1980). Effectiveness of systematic instruction on attitudes and computational estimation skills of preservice elementary teachers. Journal for Research in Mathematics Education, 11, 124–136.

    Article  Google Scholar 

  • Fennema, E., & Peterson, P. (1984). Classroom processes, sex differences, and autonomous learning behaviors in mathematics: Final report to the National Science Foundation. SE 8–8109077. Washington, DC: National Science Foundation.

    Google Scholar 

  • Fennema, E., & Sherman, J. (1976). Fennema-Sherman mathematics attitude scales: Instruments designed to measure attitudes toward the learning of mathematics by females and males. Journal for Research in Mathematics Education, 7, 324–326.

    Article  Google Scholar 

  • Kloosterman, P. (1986). Attitudinal predictors of achievement in seventh-grade mathematics. In G. Lappan & R. Even (Eds.), Proceedings of the Eighth Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education (pp. 244–249). East Lansing, MI: Michigan State University.

    Google Scholar 

  • Lave, J. (in press). Problem solving as an everyday practice. In E.A. Silver and R.I. Charles (Eds.), The teaching and evaluation of mathematical problem solving. Reston, VA: National Council of Teachers of Mathematics, and Hillsdale, NJ: Lawrence Erl-baum Associates.

    Google Scholar 

  • Maier, E. (1977, February). Folk math. Instructor, 92, 84–89.

    Google Scholar 

  • National Science Board Commission: Report of the Conference Board of the Mathematical Sciences. (1982). The mathematical science curriculum K-12: What is still fundamental and what is not. Washington, DC: National Science Foundation.

    Google Scholar 

  • Ralston, A. (1986). The school mathematics curriculum: Raising national expectations [Summary of conference]. Washington, DC: Mathematical Sciences Education Board.

    Google Scholar 

  • Reyes, L.H. (1984). Affective variables and mathematics education. Elementary School Journal, 84, 558–581.

    Google Scholar 

  • Reys, R.E., Rybolt, J.F., Bestgen, B.J., & Wyatt, J.W. (1980). Identification and characterization of computational estimation processes used by in-school pupils and out-of schooladults (Final Report, Grant No. NIE-79-0088). Washington, DC: National Institute of Education. (ERIC Document Reproduction Service No. ED 197 963.)

    Google Scholar 

  • Rubenstein, R.N. (1985). Computational estimation and related mathematical skills. Journal for Research in Mathematics Education, 16, 106–119.

    Article  Google Scholar 

  • Threadgill-Sowder, J. (1984). Computational estimation procedures of school children. Journal of Educational Research, 77, 332–335.

    Google Scholar 

  • Weiner, B. (1972). Attribution theory, achievement motivation, and the educational process. Review of Educational Research, 42, 203–215.

    Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1989 Springer-Verlag New York Inc.

About this chapter

Cite this chapter

Threadgill Sowder, J. (1989). Affective Factors and Computational Estimation Ability. In: McLeod, D.B., Adams, V.M. (eds) Affect and Mathematical Problem Solving. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3614-6_12

Download citation

  • DOI: https://doi.org/10.1007/978-1-4612-3614-6_12

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-8178-8

  • Online ISBN: 978-1-4612-3614-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics