Teaching Quality Assessment System Based on Support Vector Machine Technology

Authors

  • Wen-xue Huang North China University of Science and Technology
  • Xin Gao North China University of Science and Technology
  • Ning Wang North China University of Science and Technology
  • Yan-chao Yang North China University of Science and Technology
  • Ying Yan North China University of Science and Technology

DOI:

https://doi.org/10.3991/ijet.v11i11.6251

Keywords:

teaching quality, evaluation system, support vector machine technology

Abstract


A scientific, objective and accurate assessment of teaching quality is helpful in finding the relevant problems. So a highly accurate, quick and easy-to-implement teaching quality assessment system is necessary to build. The index value of the pulsed GTAW pool dynamic process by support vector machine inference and support vector machine neural networks is implemented in the teaching quality evaluation system. The teaching quality assessment system was tested on 30 teachers in a college. The results show that the assessment system is increasingly evidence-based. And the system can improve teaching quality and teaching management implementation.

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Published

2016-11-29

How to Cite

Huang, W.- xue, Gao, X., Wang, N., Yang, Y.- chao, & Yan, Y. (2016). Teaching Quality Assessment System Based on Support Vector Machine Technology. International Journal of Emerging Technologies in Learning (iJET), 11(11), pp. 4–8. https://doi.org/10.3991/ijet.v11i11.6251

Issue

Vol. 11 No. 11 (2016)

Section

Papers

License

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