具有自动反馈的大规模形成性写作评估系统分析

P. Foltz, Mark Rosenstein
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引用次数: 14

摘要

具有自动评分的形成性写作系统为学生提供了写作、接收反馈,然后在及时的迭代循环中修改文章的机会。本文描述了通过挖掘学生数据对形成性写作工具进行的调查,以了解该系统的性能并衡量学生写作的改进。抽样数据包括130多万篇学生论文,这些论文是根据大约200个预定义的提示以及所有学生行为和计算机生成的反馈而写的。分析学生成绩在修订、系统反应的影响和学生花在作业上的时间上的测量和建模变化。本文讨论了采用大规模数据分析来改善教育成果、理解反馈在写作中的作用、推动形成技术的改进以及帮助设计更好的反馈和脚手架来支持学生的写作过程的影响。
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Analysis of a Large-Scale Formative Writing Assessment System with Automated Feedback
Formative writing systems with automated scoring provide opportunities for students to write, receive feedback, and then revise essays in a timely iterative cycle. This paper describes ongoing investigations of a formative writing tool through mining student data in order to understand how the system performs and to measure improvement in student writing. The sampled data included over 1.3M student essays written in response to approximately 200 pre-defined prompts as well as a log of all student actions and computer generated feedback. Analyses both measured and modeled changes in student performance over revisions, the effects of system responses and the amount of time students spent working on assignments. Implications are discussed for employing large-scale data analytics to improve educational outcomes, to understand the role of feedback in writing, to drive improvements in formative technology and to aid in designing better kinds of feedback and scaffolding to support students in the writing process.
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