International Chinese textbook evaluation system based on convolutional neural network deep learning algorithm

The international Chinese textbook evaluation system is designed based on deep learning algorithm. The evaluation system includes 5 units: user management, online evaluation, data management, evaluation result query, teaching material quality analysis. Based on the evaluation index system of teaching materials, convolutional neural network(CNN) learning expert textbook evaluation samples, the CNN textbook evaluation model is constructed. The system can count the proportion of language content in the syllabus, and the degree of intelligence is higher.

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Published
2024-10-16
DOI
https://doi.org/10.1117/12.3033932
Primary Topic
Educational Technology and Pedagogy
Type
article
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International Chinese textbook evaluation system based on convolutional neural network deep learning algorithm

Huanxin Dou
Educational Technology and Pedagogy
article

International Chinese textbook evaluation system based on convolutional neural network deep learning algorithm

Huanxin Dou
article en

Abstract

The international Chinese textbook evaluation system is designed based on deep learning algorithm. The evaluation system includes 5 units: user management, online evaluation, data management, evaluation result query, teaching material quality analysis. Based on the evaluation index system of teaching materials, convolutional neural network(CNN) learning expert textbook evaluation samples, the CNN textbook evaluation model is constructed. The system can count the proportion of language content in the syllabus, and the degree of intelligence is higher.

Bohai University (CN)
Openalex Percentile: Top 84%
Educational Technology and Pedagogy
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International Chinese textbook evaluation system based on convolutional neural network deep learning algorithm — Huanxin Dou · (2024) | TGRS Research Map | TGRS