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Online Formative Assessment Using Automated Essay Scoring Technology In China and U.S.--Two Case Studies

机译:中美使用自动作文评分技术进行在线形成性评估的两个案例研究

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Automated essay scoring (AES) has benefits such as time saving for teachers,immediate diagnostic feedback and reliable score reporting.This paper reports two case studies of using online automated essay scoring technology as formative assessment tool in the Chinese and the U.S.classrooms.In the first case study,we report how Writing Roadmap 2.0 (WRM 2.0) |6|,an online formative assessment tool,is integrated in the West Virginia classrooms,U.S.A.In the second case study,we summarize a pilot study on Writing Roadmap 2.0 use in the English writing classrooms in Beijing.We present two-year empirical data from the state of West Virginia online writing assessments to exam the effects of classroom formative assessment using Writing Roadmap 2.0 AES program on the state summative writing assessment scores.Consistent and statistically significant positive mean score differences on the state summative writing test were found for students practiced using WRM 2.0 software compared to students who did not practice.The largest score gain was found for low performing students who practiced 4 or more times compared to no practice students from the same performance level.In the case study in Beijing China Foreign Affairs University (CFAU),we found that the AI-scoring writing program alone is not sufficient for improving student writing.EFL English teachers need professional development to integrate online formative assessment in teaching.Teachers and students experience role changing when AI essay scoring software is used in the classroom.Understanding the online writing score feedback and transforming the immediate score data information to actions is the key to success.
机译:自动作文评分(AES)具有节省教师时间,及时的诊断反馈和可靠的分数报告等优点。本文报告了两个在中美课堂使用在线自动作文评分技术作为形成性评估工具的案例研究。第一个案例研究,我们报告了如何在美国西弗吉尼亚州的教室中整合在线写作评估工具Writing Roadmap 2.0(WRM 2.0)| 6 |,在第二个案例研究中,我们总结了在以下方面使用Writing Roadmap 2.0的初步研究我们提供了来自西弗吉尼亚州在线写作评估的两年经验数据,以检验使用Writing Roadmap 2.0 AES程序的课堂形成性评估对州总写作评估得分的影响。使用WRM 2.0软件进行练习的学生与使用口语能力测试的学生相比,在状态总结写作测试中的平均得分差异有所发现。没有练习。与相同成绩水平上没有练习的学生相比,练习了4次或以上的低成绩学生获得了最大的分数增长。在北京中国外事大学(CFAU)的案例研究中,我们发现AI单靠打分写作程序不足以提高学生的写作水平.EFL英语教师需要专业发展才能将在线形成性评估整合到教学中。在课堂上使用AI论文打分软件时,师生会经历角色变化。了解在线写作分数反馈将即时得分数据信息转化为行动是成功的关键。

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