Abstract
The evaluation of teachers’ teaching ability is an important part of educational activities, and a reasonable evaluation method plays an important role in improving teachers’ ability. At present, most of the evaluation methods used by schools and educational institutions are manually formulated some evaluation indicators. These methods are usually influenced by the personal preferences and the implementation is time-consuming. According to these problems, this paper proposes a method to evaluate teachers’ teaching ability based on BP neural network. Through constructing the templates, we extract teachers’ information and establish the knowledge base. Then a BP neural network is used to teaching ability evaluation. Finally, the experimental results prove the proposed method is effective.
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Acknowledgments
This work is supported by National Nature Science Foundation (No. 61501529), National Language Committee Project (No. ZDI125-36).
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Niu, P., Sun, Y., Song, W., Zhang, S. (2019). Evaluation Method of Teachers’ Teaching Ability Based on BP Neural Network. In: Sun, X., Pan, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2019. Lecture Notes in Computer Science(), vol 11632. Springer, Cham. https://doi.org/10.1007/978-3-030-24274-9_3
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DOI: https://doi.org/10.1007/978-3-030-24274-9_3
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