{"title":"EvaluMate: Using AI to support students’ feedback provision in peer assessment for writing","authors":"Kai Guo","doi":"10.1016/j.asw.2024.100864","DOIUrl":null,"url":null,"abstract":"<div><p>Peer feedback plays an important role in promoting learning in the writing classroom. However, providing high-quality feedback can be demanding for student reviewers. To address this challenge, this article proposes an AI-enhanced approach to peer feedback provision. I introduce EvaluMate, a newly developed online peer review system that leverages ChatGPT, a large language model (LLM), to scaffold student reviewers’ feedback generation. I discuss the design and functionality of EvaluMate, highlighting its affordances in supporting student reviewers’ provision of comments on peers’ essays. I also address the system’s limitations and propose potential solutions. Furthermore, I recommend future research on students’ engagement with this learning approach and its impact on learning outcomes. By presenting EvaluMate, I aim to inspire researchers and practitioners to explore the potential of AI technology in the teaching, learning, and assessment of writing.</p></div>","PeriodicalId":46865,"journal":{"name":"Assessing Writing","volume":"61 ","pages":"Article 100864"},"PeriodicalIF":4.2000,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Assessing Writing","FirstCategoryId":"98","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1075293524000576","RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0
Abstract
Peer feedback plays an important role in promoting learning in the writing classroom. However, providing high-quality feedback can be demanding for student reviewers. To address this challenge, this article proposes an AI-enhanced approach to peer feedback provision. I introduce EvaluMate, a newly developed online peer review system that leverages ChatGPT, a large language model (LLM), to scaffold student reviewers’ feedback generation. I discuss the design and functionality of EvaluMate, highlighting its affordances in supporting student reviewers’ provision of comments on peers’ essays. I also address the system’s limitations and propose potential solutions. Furthermore, I recommend future research on students’ engagement with this learning approach and its impact on learning outcomes. By presenting EvaluMate, I aim to inspire researchers and practitioners to explore the potential of AI technology in the teaching, learning, and assessment of writing.
期刊介绍：
Assessing Writing is a refereed international journal providing a forum for ideas, research and practice on the assessment of written language. Assessing Writing publishes articles, book reviews, conference reports, and academic exchanges concerning writing assessments of all kinds, including traditional (direct and standardised forms of) testing of writing, alternative performance assessments (such as portfolios), workplace sampling and classroom assessment. The journal focuses on all stages of the writing assessment process, including needs evaluation, assessment creation, implementation, and validation, and test development.
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