Analytical Techniques for Developing Argumentative Writing in STEM

Analytical Techniques for Developing Argumentative Writing in STEM
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STEM 议论文写作的分析技巧

DOI:
10.36227/techrxiv.13726720.v1
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发表时间:
2021
期刊:
影响因子:
3.6
通讯作者:
R. Passonneau
R. Passonneau
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
P. Davies;Yanjun Goa;S. Muresan;R. Passonneau

文献摘要

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本文展示了如何利用体验式学习来培养STEM学生的议论文写作技能。及时提供书面反馈是提高学生对写作过程理解的有效途径。不幸的是,大班级规模和有限的教师背景并不总是使形成性反馈成为可能。STEM学生尤其处于不利地位,因为教授书面交流的方法往往不同于与许多STEM领域兼容的反复试验的策略。体验式写作教学方法对培养STEM学习者的写作技能有积极的影响。实施算法为STEM学生提供即时、可靠、形成性的反馈,有望提高他们的写作成绩。本文讨论了计算机科学与工程专业一年级学生议论文写作教学的体验式学习方案。还讨论了使用自然语言处理方法对文章的内容和论证进行自动化分析。
This article demonstrates how experiential learning could be used to develop argumentative essay writing skills in STEM students. Written feedback, when delivered in a timely manner, is an effective way of advancing students’ understanding of the writing process. Unfortunately, large class sizes and the limited backgrounds of instructors do not always make formative feedback possible. STEM students are especially disadvantaged since approaches to teaching written communication tend to differ from the trial-and-error strategies compatible with many STEM areas. An experiential learning approach to writing instruction can have a positive impact on developing writing skills in STEM learners. Implementing algorithms for providing STEM students with immediate, dependable, formative feedback is expected to improve their performance in writing. This paper discusses an experiential learning project for teaching argumentative writing was delivered to computer science and engineering freshmen. Also discussed are automated analysis of content and argumentation in the essays, using NLP methods.
基于来源的论证论文中内容和论证的标题可靠性和注释
DOI: 10.18653/v1/w19-4452
发表时间: 2019
期刊: Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
影响因子: --
作者:
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