{"title":"Interaction and dialogue: Integration and application of artificial intelligence in blended mode writing feedback","authors":"Yang Jiang","doi":"10.1016/j.iheduc.2024.100975","DOIUrl":null,"url":null,"abstract":"<div><div>With the rapid advancement of Artificial Intelligence (AI), particularly conversational tools like Chat Generative Pre-trained Transformer (ChatGPT), their application in writing feedback has sparked widespread discussion. While AI writing feedback has proven effective, most research focuses on single feedback methods, with a limited exploration of integrating AI with other approaches. This study uses the Interactive, Constructive, Active, Passive (ICAP) framework to compare hybrid and single feedback in Chinese writing among 86 university students studying in Tibet. The study was conducted in two phases: Phase 1 involved a ten-week quasi-experiment, where the control group received human teacher feedback, and experimental groups received feedback from Kimi.AI (Passive or Active) or a combination of both. In Phase 2, data were collected through semistructured interviews and analyzed using AntConc software. Results showed that combined teacher and AI feedback improved writing skills significantly, highlighting the importance of Rich Interaction and AI's potential to promote educational equity.</div></div>","PeriodicalId":48186,"journal":{"name":"Internet and Higher Education","volume":"64 ","pages":"Article 100975"},"PeriodicalIF":6.4000,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internet and Higher Education","FirstCategoryId":"95","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S109675162400037X","RegionNum":1,"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
With the rapid advancement of Artificial Intelligence (AI), particularly conversational tools like Chat Generative Pre-trained Transformer (ChatGPT), their application in writing feedback has sparked widespread discussion. While AI writing feedback has proven effective, most research focuses on single feedback methods, with a limited exploration of integrating AI with other approaches. This study uses the Interactive, Constructive, Active, Passive (ICAP) framework to compare hybrid and single feedback in Chinese writing among 86 university students studying in Tibet. The study was conducted in two phases: Phase 1 involved a ten-week quasi-experiment, where the control group received human teacher feedback, and experimental groups received feedback from Kimi.AI (Passive or Active) or a combination of both. In Phase 2, data were collected through semistructured interviews and analyzed using AntConc software. Results showed that combined teacher and AI feedback improved writing skills significantly, highlighting the importance of Rich Interaction and AI's potential to promote educational equity.
期刊介绍：
The Internet and Higher Education is a quarterly peer-reviewed journal focused on contemporary issues and future trends in online learning, teaching, and administration within post-secondary education. It welcomes contributions from diverse academic disciplines worldwide and provides a platform for theory papers, research studies, critical essays, editorials, reviews, case studies, and social commentary.
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