{"title":"University students’ engagement with generative AI-supported automated writing evaluation (AWE) feedback","authors":"Steven Yeung","doi":"10.1016/j.jslw.2025.101203","DOIUrl":null,"url":null,"abstract":"<div><div>Studies have shown that engagement with automated writing evaluation (AWE) feedback can have a positive impact on writing development. With the emergence of generative AI (GAI), there is potential to improve AWE feedback and its reception by writers, calling for research on how writers work with GAI-supported AWE feedback. This study therefore aims to examine students’ behavioural, cognitive and affective engagement with such feedback through a GAI-powered AWE platform, <em>Learnalytics</em>. A qualitative, multiple-case study approach was adopted. Four undergraduate engineering students with diverse backgrounds and varying levels of writing proficiency at a university in Hong Kong were invited to use <em>Learnalytics</em> to complete and revise their drafts of a research report for capstone project courses. Data were collected through student drafts, computer screen recordings, stimulated recall sessions and semi-structured interviews, and were analysed qualitatively. Findings reveal how forms and levels of engagement were mediated by individual differences and various aspects of participants’ writing process, experience and considerations. This study contributes to the growing body of research into the intersection of GAI and L2 writing. (174 words)</div></div>","PeriodicalId":47934,"journal":{"name":"Journal of Second Language Writing","volume":"68 ","pages":"Article 101203"},"PeriodicalIF":5.0000,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Second Language Writing","FirstCategoryId":"98","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1060374325000281","RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"LINGUISTICS","Score":null,"Total":0}
引用次数: 0
Abstract
Studies have shown that engagement with automated writing evaluation (AWE) feedback can have a positive impact on writing development. With the emergence of generative AI (GAI), there is potential to improve AWE feedback and its reception by writers, calling for research on how writers work with GAI-supported AWE feedback. This study therefore aims to examine students’ behavioural, cognitive and affective engagement with such feedback through a GAI-powered AWE platform, Learnalytics. A qualitative, multiple-case study approach was adopted. Four undergraduate engineering students with diverse backgrounds and varying levels of writing proficiency at a university in Hong Kong were invited to use Learnalytics to complete and revise their drafts of a research report for capstone project courses. Data were collected through student drafts, computer screen recordings, stimulated recall sessions and semi-structured interviews, and were analysed qualitatively. Findings reveal how forms and levels of engagement were mediated by individual differences and various aspects of participants’ writing process, experience and considerations. This study contributes to the growing body of research into the intersection of GAI and L2 writing. (174 words)
期刊介绍:
The Journal of Second Language Writing is devoted to publishing theoretically grounded reports of research and discussions that represent a significant contribution to current understandings of central issues in second and foreign language writing and writing instruction. Some areas of interest are personal characteristics and attitudes of L2 writers, L2 writers'' composing processes, features of L2 writers'' texts, readers'' responses to L2 writing, assessment/evaluation of L2 writing, contexts (cultural, social, political, institutional) for L2 writing, and any other topic clearly relevant to L2 writing theory, research, or instruction.