Automated Scoring of Writing

Author:

Link StephanieORCID,Koltovskaia Svetlana

Abstract

AbstractFor decades, automated essay scoring (AES) has operated behind the scenes of major standardized writing assessments to provide summative scores of students’ writing proficiency (Dikli in J Technol Learn Assess 5(1), 2006). Today, AES systems are increasingly used in low-stakes assessment contexts and as a component of instructional tools in writing classrooms. Despite substantial debate regarding their use, including concerns about writing construct representation (Condon in Assess Writ 18:100–108, 2013; Deane in Assess Writ 18:7–24, 2013), AES has attracted the attention of school administrators, educators, testing companies, and researchers and is now commonly used in an attempt to reduce human efforts and improve consistency issues in assessing writing (Ramesh and Sanampudi in Artif Intell Rev 55:2495–2527, 2021). This chapter introduces the affordances and constraints of AES for writing assessment, surveys research on AES effectiveness in classroom practice, and emphasizes implications for writing theory and practice.

Publisher

Springer International Publishing

Reference46 articles.

1. Attali, Y., Bridgeman, B., & Trapani, C. (2010). Performance of a generic approach in automated essay scoring. Journal of Technology, Learning, and Assessment, 10(3). http://www.jtla.org

2. Attali, Y., & Burstein, J. (2006). Automated essay scoring with e-rater V.2. Journal of Technology, Learning, and Assessment, 4(3), 1–30.

3. Brown, J. D. (2005). Testing in language programs. A comprehensive guide to English language assessment. McGraw Hill.

4. Burstein, J., & Chodorow, M. (1999). Automated essay scoring for nonnative English speakers. Proceedings of the ACL99 Workshop on Computer-Mediated Language Assessment and Evaluation of Natural Language Processing. http://www.ets.org/Media/Research/pdf/erater_acl99rev.pdf

5. Burstein, J., & Chodorow, M. (2010). Progress and new directions in technology for automated essay evaluation. In R. Kaplan (Ed.), The Oxford handbook of applied linguistics (2nd ed., pp. 487–497). Oxford University Press.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3