Feature Extraction and Deep Neural Network Method Based Research on Cognitive Law of Students in Reading Comprehension in Chinese
文献类型:会议论文
作者 | Niu, Shuo1,2; Jiang, Lili1,2 |
出版日期 | 2023 |
会议名称 | Proceedings of the 2023 IEEE 6th International Conference on Knowledge Innovation and Invention |
会议日期 | 2023 |
会议地点 | 不详 |
通讯作者邮箱 | jiang, lili |
DOI | 10.1109/ICKII58656.2023.10332603 |
页码 | 422-426 |
英文摘要 | 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. |
收录类别 | EI |
会议录 | Proceedings of the 2023 IEEE 6th International Conference on Knowledge Innovation and Invention, ICKII 2023 |
语种 | 英语 |
源URL | [http://ir.psych.ac.cn/handle/311026/46676] |
专题 | 心理研究所_中国科学院行为科学重点实验室 |
作者单位 | 1.University of Chinese Academy of Sciences, Department of Psychology, Beijing; 100049, China 2.Institute of Psychology, Cas Key Laboratory of Behavioral Science, Beijing; 100101, 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]. 见:Proceedings of the 2023 IEEE 6th International Conference on Knowledge Innovation and Invention. 不详. 2023. |
入库方式: OAI收割
来源:心理研究所
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。