Unveiling Patterns of Interaction With Automated Feedback in Writing Mentor and Their Relationships With Use Goals and Writing Outcomes.
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 a...
| Published in: | Journal of Computer Assisted Learning Vol. 41; no. 2; pp. 1 - 16 |
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| Main Authors: | , , , , |
| Format: | pictorial research tables/charts Journal Article |
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Wiley-Blackwell
Apr2025
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=184016312&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 184016312 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Apr2025 vid: 41 iid: 2 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 184016312 184016312 184016312 10.1111/jcal.70014 184016312 ppf: 1 ppct: 15 formats: tig: atl: Unveiling Patterns of Interaction With Automated Feedback in Writing Mentor and Their Relationships With Use Goals and Writing Outcomes. aug: au: Jiang, Yang Klebanov, Beata Beigman Hao, Jiangang Deane, Paul Livne, Oren E. affil: ETS Research Institute, Princeton New Jersey, , USA sug: subj: Feedback Mentorship Writing Automation Computer-Assisted Instruction Goals and Objectives Natural Language Processing World Wide Web Applications Quality Improvement Human Funding Source Academic Achievement Success Literacy Students Psychosocial Factors Students, Middle School Students, High School Student Attitudes Data Mining Support, Psychosocial Conceptual Framework Documentation Edit and Review Survey Research Grammar Spelling Interrater Reliability Algorithms Linear Regression Pearson's Correlation Coefficient Time Factors Kruskal-Wallis Test Wilcoxon Signed Rank Test Mann-Whitney U Test User-Computer Interface Logistic Regression Human Error Prevention and Control Descriptive Statistics Chi Square Test ab: 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. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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