Institutional Repository of Key Laboratory of Behavioral Science, CAS
Feature Extraction and Deep Neural Network Method Based Research on Cognitive Law of Students in Reading Comprehension in Chinese | |
Niu, Shuo1,2; Jiang, Lili1,2 | |
2023 | |
通讯作者邮箱 | jiang, lili |
会议名称 | Proceedings of the 2023 IEEE 6th International Conference on Knowledge Innovation and Invention |
会议录名称 | Proceedings of the 2023 IEEE 6th International Conference on Knowledge Innovation and Invention, ICKII 2023 |
页码 | 422-426 |
会议日期 | 2023 |
会议地点 | 不详 |
摘要 | The problem of students' cognitive differences in reading comprehension in Chinese was modeled as a binary classification problem in Machine Learning. The average score of the student group in reading comprehension was normalized and binarized to obtain the difficulty label as the dependent variable for the study. Reading comprehension was affected by the genre of the article, the number of words, the number of sentences, the average number of Chinese characters contained in each sentence, the proportion of rare characters, and so on. These features were selected as independent variables for this study. Based on the Decision Tree (DT) method and the Deep Neural Network (DNN) method, two classification models were constructed. The F1 score was 82.3 and 86.7%, respectively, for the two methods with high accuracy. Although the accuracy of the DT model was slightly lower, the model was more interpretable. The result showed the pictorial features of the difficulty in reading comprehension in Chinese for teaching. |
DOI | 10.1109/ICKII58656.2023.10332603 |
收录类别 | EI |
语种 | 英语 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.psych.ac.cn/handle/311026/46676 |
专题 | 中国科学院行为科学重点实验室 |
作者单位 | 1.Institute of Psychology, Cas Key Laboratory of Behavioral Science, Beijing; 100101, China 2.University of Chinese Academy of Sciences, Department of Psychology, Beijing; 100049, China |
推荐引用方式 GB/T 7714 | Niu, Shuo,Jiang, Lili. Feature Extraction and Deep Neural Network Method Based Research on Cognitive Law of Students in Reading Comprehension in Chinese[C],2023:422-426. |
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