Using Peerceptiv to support AI-based online writing assessment across the disciplines

IF 5.4 3区材料科学 Q2 CHEMISTRY, PHYSICAL

ACS Applied Energy Materials Pub Date : 2023-07-01 DOI:10.1016/j.asw.2023.100746

Albert W. Li

引用次数: 5

Abstract

Peerceptiv is a peer assessment tool developed by learning sciences researchers to help students demonstrate disciplinary knowledge through writing feedback practices. This review of Peerceptiv describes its key features while comparing it with other writing feedback tools and suggesting possibilities and limitations of using it to support AI-based online writing assessment across the disciplines. Future considerations regarding the use of Peerceptiv in assessing, teaching, and researching online writing are discussed.

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使用Peerceptiv支持跨学科的基于人工智能的在线写作评估

Peerceptiv是一种由学习科学研究人员开发的同伴评估工具，旨在帮助学生通过写作反馈实践展示学科知识。这篇对Peerceptiv的综述描述了它的关键功能，同时将它与其他写作反馈工具进行了比较，并提出了使用它来支持跨学科基于人工智能的在线写作评估的可能性和局限性。讨论了在评估、教学和研究在线写作时使用Peerceptiv的未来考虑因素。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Applied Energy Materials Materials Science-Materials Chemistry

CiteScore

10.30

自引率

6.20%

发文量

1368

期刊介绍： ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.