热情
计算机科学
任务(项目管理)
深度学习
考试(生物学)
个性化学习
多媒体
人工智能
数学教育
教学方法
心理学
工程类
合作学习
社会心理学
古生物学
系统工程
开放式学习
生物
标识
DOI:10.1145/3613944.3613945
摘要
The deep learning driver can help to realize a personalized online English writing correction platform, which shows its unique convenience, comprehensiveness and pertinence characteristics. Based on the deep learning algorithm, the personalized English writing correction platform for English is implemented by the GoogLeNet model. The training accuracy of the platform is 96.2% and the test accuracy is 95.2%. The system can effectively stimulate the interest of students in English writing, improve their writing enthusiasm and writing efficiency, and enhance the independent learning ability of students. On the other hand, the system also greatly reduces the burden of teachers correcting compositions, helps teachers free from the tedious correcting task, so as to pay more attention to the feedback, and leave more time and energy to guide and help students.
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