Skip to main content

Education Teaching and Evaluation Under Data Mining Algorithm

  • Conference paper
  • First Online:
  • 1250 Accesses

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1343))

Abstract

The evaluation of education and teaching effect is an important measure to deepen the education reform. To carry out an education reform, we must first evaluate the feasibility of the reform scheme. In the process of reform, we must strengthen the formative evaluation, and at the end of a certain reform, we must go through the final evaluation. Only in this way can we avoid blindness and ensure the healthy development of education reform. The evaluation of education and teaching effect is an important means to improve teaching quality in an all-round way. Through the evaluation of education and teaching effect, we can get feedback information about the effectiveness of school’s education and teaching work and the development of students in all aspects, summarize the achievements in time and correct the deviation, so as to keep the education and teaching work in a good state all the time, so as to promote the improvement of school education and teaching quality. The evaluation of education and teaching effect is an important content of educational science research.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   279.99
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

Learn about institutional subscriptions

References

  1. Yuan, Y., Li, H.: Research on teaching evaluation system based on data mining. Comput. Mod. 11, 116–119 (2009)

    Google Scholar 

  2. Shi, L., Tang, Y.: Research on decision tree method in data mining. Comput. Mod. 10, 29–32 (2009)

    Google Scholar 

  3. MacLennan, J.: Principles and Applications of Data Mining SQL Server, pp. 123–159. Tsinghua University Press, Beijing (2010)

    Google Scholar 

  4. Kantardzic, M.: Data Mining, pp. 144–169. Trans. Shan Siqing. Tsinghua University Press, Beijing (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Feifei Xu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Xu, F. (2021). Education Teaching and Evaluation Under Data Mining Algorithm. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1343. Springer, Cham. https://doi.org/10.1007/978-3-030-69999-4_147

Download citation

Publish with us

Policies and ethics