SavedAdd your journal

Journals / Necatibey Eğitim Fakültesi Elektronik Fen ve Matematik Eğitimi Dergisi / 2012 / Cilt: 6 Sayı: 2

Yedinci Sınıfların Hesaplamalı Tahmin Becerilerine İlişkin Duyuşsal Faktörler

Burçak Boz
Safure Bulut
Pages
183–216
Publication Date
2012-12-01
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
🔖

Cite This Article

Boz, B., Bulut, S. (2012). Yedinci Sınıfların Hesaplamalı Tahmin Becerilerine İlişkin Duyuşsal Faktörler. Necatibey Eğitim Fakültesi Elektronik Fen ve Matematik Eğitimi Dergisi, Cilt: 6 Sayı: 2, 183–216. https://ajindex.com/articles/1295875

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (38)

  1. Aiken, L. R. (1976). Update on attitudes and other affective variables in learning mathematics. Review of Educational Research, 46, 293-311.
  2. Alajmi, A., & Reys, R. (2007). Reasonable and reasonableness of answers: Kuwaiti middle school teachers’ perspectives. Educational Studies in Mathematics, 65, 77–94.
  3. Australian Education Council (AEC). (1991). A national statement on mathematics for Australian schools. Carlton, Vic: Curriculum Corporation.
  4. Baroody, A. J. (1987). Children's mathematical thinking: A developmental framework for preschool, primary, and special education teachers. New York: Teachers College Press.
  5. Baroody, A.J., & Gatzke, M.R. (1991). The Estimation of Set Size by Potentially Gifted Kindergarten-age Children. Journal for Research in Mathematics Education, 22, 59- 68.
  6. Berry, R. Q. (1998). Computational Estimation Skills of eight grade students. Unpublished master’s thesis, Christopher Newport University.
  7. 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, 124-136.
  8. Blair, S.L. (2001). The Importance of Basic Facts in Mathematics. Unpublished doctoral dissertation, University of Kansas.
  9. Bobis, J. (1991). The effect of instruction on the development of computational estimation strategies. Mathematics Education Research Journal, 3 (1), 17-29.
  10. Boz, B. (2004), Investigation of Estimation Ability of High School Students, Unpublished master’s thesis, Middle East Technical University, Ankara.
  11. Case, R. & Sowder, J.T. (1990). The Development of Computational Estimation: A NeoPiagetian Analysis. Cognition and Instruction, 7(2), 79-104
  12. Cilingir, D. & Turnuklu, E. B. (2009). Estimation Ability and Strategies of the 6th - 8th grades elementary school students. Elementary Education Online, 8 (3), 637- 650. Retrieved 01 September 2009 from http://www.ilkogretimonline.org.tr/vol8say3/v8s3m2.pfd Department for Education and Studies (DfES) (2007). Primary framework for literacy and mathematics: Guidance paper: calculation. [online] Retrieved on 21 July 2009 from http://www.standards.dfes.gov.uk/primaryframeworks/mathematics/Papers/Calculatio n/
  13. Gliner, G. S. (1991). Factors contributing to success in mathematical estimation in preservice teachers: types of problems and previous mathematical experience. Educational Studies in Mathematics, 22, 595-606.
  14. Goodman, T. (1991). Computational estimation skills of preservice elementary teachers. International Journal of Mathematical Education in Science and Technology, 22 (2) 259-272.
  15. Hanson, S.A. & Hogan P.T. (2000). Computational Estimation Skill of College Students. Journal for Research in Mathematics Education, 31 (4), 483-499.
  16. Heinrich, E.J. (1998). Characteristics and skills exhibited by middle school students in performing the tasks of computational estimation. Unpublished doctoral dissertations, Fordham University, New York.
  17. Hogan, T.P., Wyckoff, L. A., Krebs, P., Jones, W., & Fitzgerald, M.P. (2004). Tolerance for error and computational estimation ability. Psychological Reports, 94, 1393-1403.
  18. Hogan, T.P. & Parlapiano, C.A. (2008). Personality factors related to quantitative estimation skill: confirmation and extension. Psychological Reports, 103, 189- 198.
  19. LeFevre, J., Greenham, S. L., & Waheed, N. (1993). The development of procedural and conceptual knowledge in computational estimation. Cognition and Instruction, 11 (1), 95-132.
  20. Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Beverly Hills, CA: Sage Publications, Inc.
  21. Lodico, M. G., Spaulding, D.T., & Voegtle, K.H. (2006). Methods in educational research from theory to practice. San Francisco, CA: Jossey Bass.
  22. Ma, X., & N. Kishor. (1997). Assessing the Relationship between Attitude towards Mathematics and Achievement in Mathematics: A Meta-Analysis. Journal for Research in Mathematics Education, 28(1), 26-47.
  23. McLeod, D. & B. (1992). Research on Affect in Mathematics Education: A reconceptualisation. In D. A. Grouws (Ed.). Handbook of Research on Mathematics Teaching and Learning (pp. 575-596). New York: Macmillan.
  24. Merriam, S.B. (1998). Qualitative Research and Case Studies Applications in Education. San Francisco: Jossey-Bass Publications.
  25. Miles, M. B., & Huberman, A. M. (1994). Qualitative data Analysis: An Expanded sourcebook (3rd ed.).Newbury Park, CA: Sage Publications.
  26. Mitchell, M. (1993). Situational Interest: Its multifaceted structure in the secondary school mathematics classroom, Journal of Educational Psychology, 85(3), 424-436.
  27. National Council of Mathematics Teachers (NCTM) (2000). Principles and Standard for school mathematics. Reston, VA: National Council of Mathematics Teachers
  28. Reehm, S.P. (1992). A Comparison of Estimation Process used on Numeric and Contextual problems. Unpublished doctorial dissertation, University of Missouri –Columbia
  29. Reys, R. E., Rybolt, J. F., Bestgen, B. J., & Wyatt, W. J. (1982). Process used by good computational estimators. Journal for Research in Mathematics Education, 13(3), 183-201.
  30. Reys, B. J., Reys, R. E., & Penafiel, A. F. (1991). Estimation Performance and Strategy Use of Mexican 5th and 8th Grade Student Sample. Educational Studies in Mathematics, 22(4), 353- 375.
  31. Reys, R. E., Reys, B. J., Nohda, N., Ishida, J., & Shimizu, K. (1991). Computational estimation performance and strategies used by fifth and eight grade Japanese students. Journal for Research in Mathematics Education, 22(1), 39-58.
  32. Reyes, L. H. (1984). Affective variables and mathematics education. The Elementary School Journal, 84(5), 558-581.
  33. Rubenstein, R. (1985).Computational estimation and related mathematical skills. Journal for Research in Mathematics Education, 16, 109-116.
  34. Segovia, I. & Castro, E. (2009). Computational and measurement estimation: curriculum foundations and research carried out at the University of Granada, Mathematics Didactics Department. Electronic Journal of Research in Educational Psychology, 17, (1), 499-536.
  35. Skaalvik, E.M., & Rankin, R.J. (1995). A test of the internal/external frames of reference model at different levels of math and verbal self-perceptions. American Educational Research Journal, 32, 161-184.
  36. Sowder, J. (1992). Estimation and Number Sense. In D.A. Grouws (Ed.), Handbook of Research in Mathematics Teaching and Learning (pp.371-389). New York: Macmillan.
  37. Sowder, J. & Wheeler, M. M. (1989). The development of concepts and strategies used in computational estimation. Journal for Research in Mathematics Education, 20 (2), 130-146.
  38. Watson, H. J. (1983). The Aiken Attitude to mathematics scales, Psychometric data on reliability and discriminant validity. Educational and Psychological Measurement, 43(4), 1247-1253.