Skip to main content

How to Assess Teachers

  • Chapter
  • First Online:
How Interval and Fuzzy Techniques Can Improve Teaching

Part of the book series: Studies in Computational Intelligence ((SCI,volume 750))

  • 458 Accesses

Abstract

Sometimes, the efficiency of a class is assessed by assessing the amount of knowledge that the students have after taking this class. However, this amount depends not only on the quality of the class, but also on how prepared were the students when they started taking this class. A more adequate assessment should therefore be value-added, estimating the added value that the class brought to the students.

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 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. K. Villaverde, O. Kosheleva, Towards more detailed value–added teacher assessments, in Proceedings of the IEEE World Congress on Computational Intelligence WCCI’2010, Barcelona, Spain, 18–23 July 2010 (2010), pp. 3126–3133

    Google Scholar 

  2. K. Villaverde, O. Kosheleva, Towards more detailed value-added teacher assessments: how intervals can help. J. Uncertain Syst. 6(2), 128–137 (2012)

    Google Scholar 

  3. C. Fincher, What is value-added education? Res. High. Educ. 22(4), 395–398 (1985)

    Google Scholar 

  4. D.F. McCaffrey, J.R. Lockwood, D.M. Koretz, L.S. Hamilton, Evaluating Value-Added Models for Teacher Accountability (RAND Corporation, Santa Monica, 2003)

    Book  Google Scholar 

  5. W.L. Sanders, S.R. Horn, The Tennessee value-added assessment system (TVAAS): mixed-model methodology in educational assessment. J. Pers. Eval. Educ. 8(9), 299–311 (1994)

    Article  Google Scholar 

  6. G.J. Klir, B. Yuan, Fuzzy Sets and Fuzzy Logic: Theory and Applications (Prentice-Hall, Upper Saddle River, 1995)

    MATH  Google Scholar 

  7. H.T. Nguyen, E.A. Walker, A First Course in Fuzzy Logic (CRC Press, Boca Raton, 2006)

    MATH  Google Scholar 

  8. D.J. Sheskin, Handbook of Parametric and Nonparametric Statistical Procedures (Chapman & Hall/CRC, Boca Raton, 2007)

    MATH  Google Scholar 

  9. Interval computations website, http://www.cs.utep.edu/interval-comp

  10. L. Jaulin, M. Kieffer, O. Didrit, E. Walter, Applied Interval Analysis, with Examples in Parameter and State Estimation, Robust Control and Robotics (Springer, London, 2001)

    Google Scholar 

  11. V. Kreinovich, E. Johnson-Holubec, L.K. Reznik, M. Koshelev, Cooperative learning is better: explanation using dynamical systems, fuzzy logic, and geometric symmetries, in Proceedings of the Vietnam–Japan Bilateral Symposium on Fuzzy Systems and Applications VJFUZZY’98, HaLong Bay, Vietnam, 30th Sept–2nd Oct 1998, ed. by H.P. Nguyen, A. Ohsato (1988), pp. 154–160

    Google Scholar 

  12. R.E. Moore, R.B. Kearfott, M.J. Cloud, Introduction to Interval Analysis (SIAM Press, Philadelphia, 2009)

    Book  MATH  Google Scholar 

  13. D. Dubois, H. Prade, Operations on fuzzy numbers. Int. J. Syst. Sci. 9, 613–626 (1978)

    Article  MATH  MathSciNet  Google Scholar 

  14. R.E. Moore, W. Lodwick, Interval analysis and fuzzy set theory. Fuzzy Sets Syst. 135(1), 5–9 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  15. H.T. Nguyen, O. Kosheleva, V. Kreinovich, Is the success of fuzzy logic really paradoxical? or: towards the actual logic behind expert systems. Int. J. Intell. Syst. 11, 295–326 (1996)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Olga Kosheleva .

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer-Verlag GmbH Germany

About this chapter

Cite this chapter

Kosheleva, O., Villaverde, K. (2018). How to Assess Teachers. 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_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-55993-2_35

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-55991-8

  • Online ISBN: 978-3-662-55993-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics