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Why Educational Standards Are Not Truly Objective

Year 2015, Volume: 10 Issue: 1 - Volume 10, Issue 1, 2015, 5 - 12, 19.05.2016
https://izlik.org/JA78PS63LL

Abstract

Educational standards have become a popular choice for setting clear educational targets for students. The language of standards is that they are “objective” as opposed to typical tests which may suffer from bias. This article seeks to further analyze the claims that standards are objective and fair to all. The author focuses on six issues which illustrate the problematic nature of educational standards. Examples from the Common Core standards are chosen to show the range of problems associated with standards-based systems. Given these arguments, it is questionable as to whether educational standards represent a better alternative to norm-referenced tests

References

  • Docherty, S., Davis, O., Kovas, Y., Meaburn, E., Dale, P., Petrill, S., Schalkwyk, S. & Plomin, R. (2010). A genome-wide association study identifies multiple loci associated with mathematics ability and disability. Genes, Brain and Behavior 9(2): 234–247.
  • Furnham, A., Monsen, J., & Ahmetoglu, G. (2009). Typical intellectual engagement, Big Five personality traits, approaches to learning and cognitive ability predictors of academic performance. British Journal of Educational Psychology 79(4): 769-82.
  • Harlen, W. & Crick, R.D. (2003). Testing and Motivation for Learning. Assessment in Education, 10(2): 169-207.
  • Muller, C. (2008). The Minimum Competency Exam Requirement, Teachers' and Students' Expectations and Academic Performance. Social Psychology of Education, 2(2): 199-216
  • Oxford dictionaries online. (2014). http://www.oxforddictionaries.com/
  • Plomin, R. (1999). Genetics and general cognitive ability. Nature, 402(6761 Suppl): C25-9.
  • Post, T., Harwell, M., Davis, J., Maeda, Y., Cutler, A., Andersen, E., Kahn, J., & Norman, K. (2008). "Standards"-Based Mathematics Curricula and Middle-Grades Students' Performance on Standardized Achievement Tests. Journal for Research in Mathematics Education, 39(2): 184-212.
  • Shakeshaft, N., Trzaskowski, M., McMillan, A., Rimfeld,K., Krapohl, E.,. Haworth, C., Dale, P., & Plomin, R. (2013). Strong Genetic Influence on a UK Nationwide Test of Educational Achievement at the End of Compulsory Education at Age 16. PLoS ONE, 8 (12): e80341 DOI: 10.1371/journal.pone.0080341.
  • Shavelson, R., Baxter, G., &Gao, X. (1993). Sampling Variability of Performance Assessments. Journal of Educational Measurement, 30(3): 215-232. Shaywitz, S.E., Escobar, M.D.,
  • Shaywitz, B.A., Fletcher, J.M.,& Makuch R. (1992). Evidence that dyslexia may represent the lower tail of a normal distribution of reading ability. New England Journal of Medicine 326(3): 145-50.
  • Wilson, G., & Hoke, K. (1921). How to Measure. New York: The Macmillan Company.

Year 2015, Volume: 10 Issue: 1 - Volume 10, Issue 1, 2015, 5 - 12, 19.05.2016
https://izlik.org/JA78PS63LL

Abstract

References

  • Docherty, S., Davis, O., Kovas, Y., Meaburn, E., Dale, P., Petrill, S., Schalkwyk, S. & Plomin, R. (2010). A genome-wide association study identifies multiple loci associated with mathematics ability and disability. Genes, Brain and Behavior 9(2): 234–247.
  • Furnham, A., Monsen, J., & Ahmetoglu, G. (2009). Typical intellectual engagement, Big Five personality traits, approaches to learning and cognitive ability predictors of academic performance. British Journal of Educational Psychology 79(4): 769-82.
  • Harlen, W. & Crick, R.D. (2003). Testing and Motivation for Learning. Assessment in Education, 10(2): 169-207.
  • Muller, C. (2008). The Minimum Competency Exam Requirement, Teachers' and Students' Expectations and Academic Performance. Social Psychology of Education, 2(2): 199-216
  • Oxford dictionaries online. (2014). http://www.oxforddictionaries.com/
  • Plomin, R. (1999). Genetics and general cognitive ability. Nature, 402(6761 Suppl): C25-9.
  • Post, T., Harwell, M., Davis, J., Maeda, Y., Cutler, A., Andersen, E., Kahn, J., & Norman, K. (2008). "Standards"-Based Mathematics Curricula and Middle-Grades Students' Performance on Standardized Achievement Tests. Journal for Research in Mathematics Education, 39(2): 184-212.
  • Shakeshaft, N., Trzaskowski, M., McMillan, A., Rimfeld,K., Krapohl, E.,. Haworth, C., Dale, P., & Plomin, R. (2013). Strong Genetic Influence on a UK Nationwide Test of Educational Achievement at the End of Compulsory Education at Age 16. PLoS ONE, 8 (12): e80341 DOI: 10.1371/journal.pone.0080341.
  • Shavelson, R., Baxter, G., &Gao, X. (1993). Sampling Variability of Performance Assessments. Journal of Educational Measurement, 30(3): 215-232. Shaywitz, S.E., Escobar, M.D.,
  • Shaywitz, B.A., Fletcher, J.M.,& Makuch R. (1992). Evidence that dyslexia may represent the lower tail of a normal distribution of reading ability. New England Journal of Medicine 326(3): 145-50.
  • Wilson, G., & Hoke, K. (1921). How to Measure. New York: The Macmillan Company.

Year 2015, Volume: 10 Issue: 1 - Volume 10, Issue 1, 2015, 5 - 12, 19.05.2016
https://izlik.org/JA78PS63LL

Abstract

References

  • Docherty, S., Davis, O., Kovas, Y., Meaburn, E., Dale, P., Petrill, S., Schalkwyk, S. & Plomin, R. (2010). A genome-wide association study identifies multiple loci associated with mathematics ability and disability. Genes, Brain and Behavior 9(2): 234–247.
  • Furnham, A., Monsen, J., & Ahmetoglu, G. (2009). Typical intellectual engagement, Big Five personality traits, approaches to learning and cognitive ability predictors of academic performance. British Journal of Educational Psychology 79(4): 769-82.
  • Harlen, W. & Crick, R.D. (2003). Testing and Motivation for Learning. Assessment in Education, 10(2): 169-207.
  • Muller, C. (2008). The Minimum Competency Exam Requirement, Teachers' and Students' Expectations and Academic Performance. Social Psychology of Education, 2(2): 199-216
  • Oxford dictionaries online. (2014). http://www.oxforddictionaries.com/
  • Plomin, R. (1999). Genetics and general cognitive ability. Nature, 402(6761 Suppl): C25-9.
  • Post, T., Harwell, M., Davis, J., Maeda, Y., Cutler, A., Andersen, E., Kahn, J., & Norman, K. (2008). "Standards"-Based Mathematics Curricula and Middle-Grades Students' Performance on Standardized Achievement Tests. Journal for Research in Mathematics Education, 39(2): 184-212.
  • Shakeshaft, N., Trzaskowski, M., McMillan, A., Rimfeld,K., Krapohl, E.,. Haworth, C., Dale, P., & Plomin, R. (2013). Strong Genetic Influence on a UK Nationwide Test of Educational Achievement at the End of Compulsory Education at Age 16. PLoS ONE, 8 (12): e80341 DOI: 10.1371/journal.pone.0080341.
  • Shavelson, R., Baxter, G., &Gao, X. (1993). Sampling Variability of Performance Assessments. Journal of Educational Measurement, 30(3): 215-232. Shaywitz, S.E., Escobar, M.D.,
  • Shaywitz, B.A., Fletcher, J.M.,& Makuch R. (1992). Evidence that dyslexia may represent the lower tail of a normal distribution of reading ability. New England Journal of Medicine 326(3): 145-50.
  • Wilson, G., & Hoke, K. (1921). How to Measure. New York: The Macmillan Company.
There are 11 citations in total.

Details

Other ID JA22MM32UD
Authors

Matthew Metzgar This is me

Publication Date May 19, 2016
IZ https://izlik.org/JA78PS63LL
Published in Issue Year 2015 Volume: 10 Issue: 1 - Volume 10, Issue 1, 2015

Cite

APA Metzgar, M. (2016). Why Educational Standards Are Not Truly Objective. Educational Policy Analysis And Strategic Research, 10(1), 5-12. https://izlik.org/JA78PS63LL
AMA 1.Metzgar M. Why Educational Standards Are Not Truly Objective. Educational Policy Analysis And Strategic Research. 2016;10(1):5-12. https://izlik.org/JA78PS63LL
Chicago Metzgar, Matthew. 2016. “Why Educational Standards Are Not Truly Objective”. Educational Policy Analysis And Strategic Research 10 (1): 5-12. https://izlik.org/JA78PS63LL.
EndNote Metzgar M (May 1, 2016) Why Educational Standards Are Not Truly Objective. Educational Policy Analysis And Strategic Research 10 1 5–12.
IEEE [1]M. Metzgar, “Why Educational Standards Are Not Truly Objective”, Educational Policy Analysis And Strategic Research, vol. 10, no. 1, pp. 5–12, May 2016, [Online]. Available: https://izlik.org/JA78PS63LL
ISNAD Metzgar, Matthew. “Why Educational Standards Are Not Truly Objective”. Educational Policy Analysis And Strategic Research 10/1 (May 1, 2016): 5-12. https://izlik.org/JA78PS63LL.
JAMA 1.Metzgar M. Why Educational Standards Are Not Truly Objective. Educational Policy Analysis And Strategic Research. 2016;10:5–12.
MLA Metzgar, Matthew. “Why Educational Standards Are Not Truly Objective”. Educational Policy Analysis And Strategic Research, vol. 10, no. 1, May 2016, pp. 5-12, https://izlik.org/JA78PS63LL.
Vancouver 1.Matthew Metzgar. Why Educational Standards Are Not Truly Objective. Educational Policy Analysis And Strategic Research [Internet]. 2016 May 1;10(1):5-12. Available from: https://izlik.org/JA78PS63LL