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BP Neural Network-Based Evaluation on University Teachers' Teaching Quality

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Published:24 March 2021Publication History

ABSTRACT

Because of the one-sidedness in most universities by using the single teaching evaluation mechanism to evaluate the teachers' teaching quality, this paper presents a comprehensive teaching quality evaluation system. 7 indicators under the 2 level systems were constructed. Furtherly 2-level neural network is established. The training results show that the network can fit the training data well and the effect is significant, which indicates that the teaching quality evaluation model based on neural network is reasonable and feasible.

References

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  1. BP Neural Network-Based Evaluation on University Teachers' Teaching Quality

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    • Published in

      cover image ACM Other conferences
      EBIMCS '20: Proceedings of the 2020 3rd International Conference on E-Business, Information Management and Computer Science
      December 2020
      718 pages
      ISBN:9781450389099
      DOI:10.1145/3453187

      Copyright © 2020 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 24 March 2021

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      EBIMCS '20 Paper Acceptance Rate112of566submissions,20%Overall Acceptance Rate143of708submissions,20%
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