Abstract
In the USA, in the last decade, standards have been adapted for each grade level. These standards are annually checked by state-wide tests. The results of these tests often determine the school’s funding and even the school’s future existence. Due to this importance, a large amount of time is spent on teaching to the tests.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
O. Kosheleva, What is wrong with teaching to the test: uncertainty techniques help in understanding (and hopefully resolving) the controversy, in Proceedings of the 2011 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS’2011, El Paso, Texas, 18–20 March 2011 (2011)
A. Bell, Teaching for the test, in Teaching Mathematics, ed. by M. Selinger (The Open University Press, London, 1999), pp. 41–46
U. Boser, Teaching to the test? Education Week 7 June 2000 (2000)
W.J. Popham, Teaching to the test? Educational Leadership 58(6), 16–20 (2001)
R. Aló and O.M. Kosheleva, Optimization techniques under uncertain criteria, and their possible use in computerized education, in Proceedings of the 25th International Conference of the North American Fuzzy Information Processing Society NAFIPS’2006, Montreal, Quebec, Canada, 3–6 June 2006 (IEEE Press, Piscataway, 2006)
O. Castillo, P. Melin, E. Gamez, V. Kreinovich, O. Kosheleva, Intelligence techniques are needed to further enhance the advantage of groups with diversity in problem solving, in Proceedings of the 2009 IEEE Workshop on Hybrid Intelligent Models and Applications HIMA’2009, Nashville, Tennessee, 30 March–2 April 2009 (2009) pp. 48–55
O. Kosheleva, Potential application of fuzzy techniques to math education: emphasizing paradoxes as a (seemingly paradoxical) way to enhance the learning of (strict) mathematics, in Proceedings of the 27th International Conference of the North American Fuzzy Information Processing Society NAFIPS’2008, New York, 19–22 May 2008 (2008)
O. Kosheleva, Early start can inhibit learning: a geometric explanation, in Proceedings of the 2009 World Congress of the International Fuzzy Systems Association IFSA’2009, Lisbon, Portugal, 20–24 July 2009 (2009) pp. 438–442
O.M. Kosheleva and R. Aló, Towards economics of education: optimization under uncertainty, Proceedings of the Second International Conference on Fuzzy Sets and Soft Computing in Economics and Finance FSSCEF’2006, St. Petersburg, Russia, 28 June–1 July 2006 (2006) pp. 63–70
O.M. Kosheleva, M. Ceberio, Processing educational data: from traditional statistical techniques to an appropriate combination of probabilistic, interval, and fuzzy approaches, in Proceedings of the International Conference on Fuzzy Systems, Neural Networks, and Genetic Algorithms FNG’05, Tijuana, Mexico, 13–14 October 2005 (2005) pp. 39–48
O. Kosheleva, F. Modave, Asymmetric paternalism: description of the phenomenon, explanation based on decisions under uncertainty, and possible applications to education, in Proceedings of the 27th International Conference of the North American Fuzzy Information Processing Society NAFIPS’2008, New York, 19–22 May 2008 (2008)
O. Kosheleva, V. Kreinovich, Towards Optimal Effort Distribution in Process Design under Uncertainty, with Application to Education, in Proceedings of the 4th International Workshop on Reliable Engineering Computing REC’2010, Singapore, 3–5 March 2010(2010) pp. 509–525
P. Pinheiro da Silva, A. Velasco, O. Kosheleva, Degree-based ideas and technique can facilitate inter-disciplinary collaboration and education, in Proceedings of NAFIPS’2010, Toronto, Canada, 12–14 July 2010 (2010) pp. 388–393
G.J. Klir, B. Yuan, Fuzzy Sets and Fuzzy Logic: Theory and Applications (Prentice-Hall, Upper Saddle River, 1995)
H.T. Nguyen, E.A. Walker, A First Course in Fuzzy Logic (CRC Press, Boca Raton, 2006)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2018 Springer-Verlag GmbH Germany
About this chapter
Cite this chapter
Kosheleva, O., Villaverde, K. (2018). What Is Wrong with Teaching to the Test: Uncertainty Techniques Help in Understanding the Controversy. In: How Interval and Fuzzy Techniques Can Improve Teaching. Studies in Computational Intelligence, vol 750. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-55993-2_17
Download citation
DOI: https://doi.org/10.1007/978-3-662-55993-2_17
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-55991-8
Online ISBN: 978-3-662-55993-2
eBook Packages: EngineeringEngineering (R0)