检索结果-南通市图书馆

Proposal of Japanese Vocabulary Difficulty Level Dictionaries for automated essay scoring Support System Using Rubric

引用

Journal of the Operations Research Society of China 2020年第4期8卷 601-617页

作者： Megumi Yamamoto Nobuo Umemura Hiroyuki Kawano School of Contemporary International Studies Nagoya University of Foreign StudiesIwasaki-choNisshin 470-0197Japan School of Media and Design Nagoya University of Arts and SciencesNagoya 470-0196Japan Faculty of Science and Engineering Nanzan UniversityNagoya 466-8673Japan

We are developing a Moodle plug-in,which is an AES(automated essay scoring)support system for the basic education of university *** system evaluates essays based on rubric,which has five evaluation viewpoints“Contents,Structure,Evidence,Style,and Skill”.Vocabulary level is one of the scoring items of *** is calculated using Japanese Language Learners’Dictionaries constructed by Sunakawa et *** this does not fully cover the words used in the student-level essays,we found that there is a problem with the accuracy of the vocabulary level *** this paper,we propose to construct comprehensive Japanese vocabulary difficulty level dictionaries using Japanese Wikipedia as the *** apply Latent Dirichlet Allocation(LDA)to the Wikipedia corpus and find the word appearance probability as one of the indexes of word *** use the TF-IDF value instead of the LDA value of the words,which rarely *** a result,we constructed highly comprehensive Japanese vocabulary difficulty level *** confirmed that the vocabulary level can be scored for all words in the test dataset by using the constructed dictionaries.

关键词： automated essay scoring Vocabulary level Dictionary Wikipedia Corpus LDA Rubric

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

automated Chinese essay scoring Based on Deep Learning

引用

Computers, Materials & Continua 2020年第10期65卷 817-833页

作者： Shuai Yuan Tingting He Huan Huang Rui Hou Meng Wang National Engineering Research Center for E-Learning Central China Normal UniversityWuhan430079China School of Computer Central China Normal UniversityWuhan430079China Information Retrieval and Knowledge Management Research Laboratory Central China Normal UniversityWuhan430079China School of Education South-Central University for NationalitiesWuhan430074China College of Computer Science South-Central University for NationalitiesWuhan430074China Information School University of WashingtonSeattleWA98105USA

Writing is an important part of language learning and is considered the best approach to demonstrate the comprehensive language skills of *** grading student essays is a time-consuming task;however,it is *** automated essay scoring system can not only greatly improve the efficiency of essay scoring,but also provide more objective ***,many researchers have been exploring automated essay scoring techniques and ***,the technique of scoring Chinese essays is still limited,and its accuracy needs to be enhanced *** improve the accuracy of the scoring model for a Chinese essay,we propose an automated scoring approach based on a deep learning model and validate its effect by conducting two comparison *** experimental results indicate that the accuracy of the proposed model is significantly higher than that of multiple linear regression(MLR),which was commonly used in the *** three accuracy rates of the proposed model are comparable to those of the novice *** root mean square error(RMSE)of the proposed model is slightly lower than that of the novice teacher,and the correlation coefficient of the proposed model is also significantly higher than that of the novice ***,when the predicted scores are not very low or very high,the two predicted models are as good as a novice ***,when the predicted score is very high or very low,the results should be treated with caution.

关键词： automated essay scoring deep learning convolutional neural network Chinese essay

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

The Impact of Online automated Writing Evaluation:A Case Study from Dalian

引用

Chinese Journal of Applied Linguistics 2012年第1期35卷 63-79,129页

作者：孙昌华美国麦格劳希尔教育测评中心

automated writing evaluation （AWE） technology is being adopted in classrooms in China and the USA. This paper presents the results of a case study of the application of AWE in Dalian, China. The quasi-experimental study was conducted in 2010 in Chinese middle school English language classrooms. An effect size of 0.30 was found in favor of the experimental group using AWE as an online formative assessment. Student survey responses and teacher observations are presented as convergent evidence to illustrate the impact AWE technology has on teachers, students, and student achievement in English writing.

关键词： automated Writing Evaluation automated essay scoring Online Formative Assessment EFL classroom research in China

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：