Yang Jiang, Beata Beigman Klebanov, Jiangang Hao, Paul Deane, Oren E. Livne
{"title":"Unveiling Patterns of Interaction With Automated Feedback in Writing Mentor and Their Relationships With Use Goals and Writing Outcomes","authors":"Yang Jiang, Beata Beigman Klebanov, Jiangang Hao, Paul Deane, Oren E. Livne","doi":"10.1111/jcal.70014","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Writing is integral to educational success at all levels and to success in the workplace. However, low literacy is a global challenge, and many students lack sufficient skills to be good writers. With the rapid advance of technology, computer-based tools that provide automated feedback are being increasingly developed. However, mixed results have been obtained so far on the effects of writing feedback, and little is known about how various types of feedback are used by users who access feedback with different goals.</p>\n </section>\n \n <section>\n \n <h3> Objectives</h3>\n \n <p>Leveraging both process and response data, the present study investigated students' interactions with feedback in Writing Mentor (WM), an app designed to support academic writing through automated feedback and NLP techniques.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We identified 1857 documents submitted by middle- and high-school students among <i>users-in-the-wild</i> and explored the activities that students engaged in while using WM and the quality of their submitted written products. Students' interaction processes and behaviours were compared across groups of students with different goals for using WM. In addition, sequential pattern mining was applied to identify interesting sequential patterns of student interactions with the writing feedback features that are differentially frequent across goal groups.</p>\n </section>\n \n <section>\n \n <h3> Results and Conclusions</h3>\n \n <p>Results indicated that students with different goals for using WM displayed different patterns of interaction. Furthermore, the effects of the various types of feedback on writing quality vary by students' purposes for using the tool. Findings from this study shed light on the design of computer-based writing tools and automated writing feedback for learners of various needs.</p>\n </section>\n </div>","PeriodicalId":48071,"journal":{"name":"Journal of Computer Assisted Learning","volume":"41 2","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computer Assisted Learning","FirstCategoryId":"95","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jcal.70014","RegionNum":2,"RegionCategory":"教育学","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
Background
Writing is integral to educational success at all levels and to success in the workplace. However, low literacy is a global challenge, and many students lack sufficient skills to be good writers. With the rapid advance of technology, computer-based tools that provide automated feedback are being increasingly developed. However, mixed results have been obtained so far on the effects of writing feedback, and little is known about how various types of feedback are used by users who access feedback with different goals.
Objectives
Leveraging both process and response data, the present study investigated students' interactions with feedback in Writing Mentor (WM), an app designed to support academic writing through automated feedback and NLP techniques.
Methods
We identified 1857 documents submitted by middle- and high-school students among users-in-the-wild and explored the activities that students engaged in while using WM and the quality of their submitted written products. Students' interaction processes and behaviours were compared across groups of students with different goals for using WM. In addition, sequential pattern mining was applied to identify interesting sequential patterns of student interactions with the writing feedback features that are differentially frequent across goal groups.
Results and Conclusions
Results indicated that students with different goals for using WM displayed different patterns of interaction. Furthermore, the effects of the various types of feedback on writing quality vary by students' purposes for using the tool. Findings from this study shed light on the design of computer-based writing tools and automated writing feedback for learners of various needs.
期刊介绍:
The Journal of Computer Assisted Learning is an international peer-reviewed journal which covers the whole range of uses of information and communication technology to support learning and knowledge exchange. It aims to provide a medium for communication among researchers as well as a channel linking researchers, practitioners, and policy makers. JCAL is also a rich source of material for master and PhD students in areas such as educational psychology, the learning sciences, instructional technology, instructional design, collaborative learning, intelligent learning systems, learning analytics, open, distance and networked learning, and educational evaluation and assessment. This is the case for formal (e.g., schools), non-formal (e.g., workplace learning) and informal learning (e.g., museums and libraries) situations and environments. Volumes often include one Special Issue which these provides readers with a broad and in-depth perspective on a specific topic. First published in 1985, JCAL continues to have the aim of making the outcomes of contemporary research and experience accessible. During this period there have been major technological advances offering new opportunities and approaches in the use of a wide range of technologies to support learning and knowledge transfer more generally. There is currently much emphasis on the use of network functionality and the challenges its appropriate uses pose to teachers/tutors working with students locally and at a distance. JCAL welcomes: -Empirical reports, single studies or programmatic series of studies on the use of computers and information technologies in learning and assessment -Critical and original meta-reviews of literature on the use of computers for learning -Empirical studies on the design and development of innovative technology-based systems for learning -Conceptual articles on issues relating to the Aims and Scope