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- W4205569653 abstract "In practical terms, teachers are supported to use more straightforward teaching methods, such as creating real-life contextual problems, to help students develop deep learning skills. In this paper, using Bayesian theory and Bayesian classifier research methods, a machine learning model was constructed using Python to establish the correspondence between online teaching of civics and high-level semantic features and to achieve computer learning through text and teaching design evaluation research that can identify high-frequency knowledge points. The inter-relationship model knowledge mapping, the accuracy is 90%, and the continuous knowledge update help to improve the model accuracy." @default.
- W4205569653 created "2022-01-25" @default.
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- W4205569653 date "2022-01-12" @default.
- W4205569653 modified "2023-10-18" @default.
- W4205569653 title "Teaching Design of Online Ideological and Political Course Based on Deep Learning Model Evaluation" @default.
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- W4205569653 doi "https://doi.org/10.1155/2022/4754972" @default.
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