{"title":"基于ai的小学生作文修改:基于大语言模型的PDRPE方法对写作表现、态度和焦虑的影响","authors":"Xinli Zhang, Ruiting Huang, Ruihua Zhang, Mingyi Li, Yun-Fang Tu, Yuchen Chen, Lailin Hu, Gwo-Jen Hwang","doi":"10.1111/jcal.70131","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Primary school is key to developing writing skills. However, students may face challenges in identifying and revising articles due to weak language skills, organisational thinking, comprehension, and analytical skills. Therefore, improving the writing skills of primary school students with writing difficulties has become important.</p>\n </section>\n \n <section>\n \n <h3> Objective</h3>\n \n <p>Conventional writing instruction often lacks immediate, targeted feedback, whereas large language models (LLMs) offer personalised support to help students with writing difficulties improve their writing quality.</p>\n </section>\n \n <section>\n \n <h3> Method</h3>\n \n <p>This study proposed an LLM-supported PDRPE (plan, draft, revise, present, and evaluate) approach and explored its impact on the writing performance, learning attitude, and writing anxiety of primary school students with writing difficulties. Through screening, 56 participants were recruited. Among them, 29 students in the experimental group adopted the LLM-based PDRPE approach, while 27 students in the control group used the C-PDRPE approach.</p>\n </section>\n \n <section>\n \n <h3> Results and Conclusions</h3>\n \n <p>The results showed that although there was no significant difference in the number of words, the LLM-based PDRPE approach better facilitated students' writing performance regarding the basic competence index (including the level of detail, expression, rhetoric, and vocabulary, and transitions) and other hard measurement indexes (including the number of sentences, typo rate, and punctuation error rate). Additionally, the LLM-based PDRPE approach better improved students' writing attitude and alleviated writing anxiety. Moreover, the interview results indicated that the LLM-based PDRPE approach is effective in supporting the revision process. Therefore, this study provides valuable references and insights for future research on the application of LLM and effective instruction for students with writing difficulties.</p>\n </section>\n </div>","PeriodicalId":48071,"journal":{"name":"Journal of Computer Assisted Learning","volume":"41 5","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2025-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"AI-Facilitated Article Revisions for Primary School Students With Writing Difficulties: Effects of a Large Language Model-Based PDRPE Approach on Writing Performance, Attitude and Anxiety\",\"authors\":\"Xinli Zhang, Ruiting Huang, Ruihua Zhang, Mingyi Li, Yun-Fang Tu, Yuchen Chen, Lailin Hu, Gwo-Jen Hwang\",\"doi\":\"10.1111/jcal.70131\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Primary school is key to developing writing skills. However, students may face challenges in identifying and revising articles due to weak language skills, organisational thinking, comprehension, and analytical skills. Therefore, improving the writing skills of primary school students with writing difficulties has become important.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>Conventional writing instruction often lacks immediate, targeted feedback, whereas large language models (LLMs) offer personalised support to help students with writing difficulties improve their writing quality.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Method</h3>\\n \\n <p>This study proposed an LLM-supported PDRPE (plan, draft, revise, present, and evaluate) approach and explored its impact on the writing performance, learning attitude, and writing anxiety of primary school students with writing difficulties. Through screening, 56 participants were recruited. Among them, 29 students in the experimental group adopted the LLM-based PDRPE approach, while 27 students in the control group used the C-PDRPE approach.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results and Conclusions</h3>\\n \\n <p>The results showed that although there was no significant difference in the number of words, the LLM-based PDRPE approach better facilitated students' writing performance regarding the basic competence index (including the level of detail, expression, rhetoric, and vocabulary, and transitions) and other hard measurement indexes (including the number of sentences, typo rate, and punctuation error rate). Additionally, the LLM-based PDRPE approach better improved students' writing attitude and alleviated writing anxiety. Moreover, the interview results indicated that the LLM-based PDRPE approach is effective in supporting the revision process. Therefore, this study provides valuable references and insights for future research on the application of LLM and effective instruction for students with writing difficulties.</p>\\n </section>\\n </div>\",\"PeriodicalId\":48071,\"journal\":{\"name\":\"Journal of Computer Assisted Learning\",\"volume\":\"41 5\",\"pages\":\"\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-09-21\",\"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.70131\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computer Assisted Learning","FirstCategoryId":"95","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jcal.70131","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}
AI-Facilitated Article Revisions for Primary School Students With Writing Difficulties: Effects of a Large Language Model-Based PDRPE Approach on Writing Performance, Attitude and Anxiety
Background
Primary school is key to developing writing skills. However, students may face challenges in identifying and revising articles due to weak language skills, organisational thinking, comprehension, and analytical skills. Therefore, improving the writing skills of primary school students with writing difficulties has become important.
Objective
Conventional writing instruction often lacks immediate, targeted feedback, whereas large language models (LLMs) offer personalised support to help students with writing difficulties improve their writing quality.
Method
This study proposed an LLM-supported PDRPE (plan, draft, revise, present, and evaluate) approach and explored its impact on the writing performance, learning attitude, and writing anxiety of primary school students with writing difficulties. Through screening, 56 participants were recruited. Among them, 29 students in the experimental group adopted the LLM-based PDRPE approach, while 27 students in the control group used the C-PDRPE approach.
Results and Conclusions
The results showed that although there was no significant difference in the number of words, the LLM-based PDRPE approach better facilitated students' writing performance regarding the basic competence index (including the level of detail, expression, rhetoric, and vocabulary, and transitions) and other hard measurement indexes (including the number of sentences, typo rate, and punctuation error rate). Additionally, the LLM-based PDRPE approach better improved students' writing attitude and alleviated writing anxiety. Moreover, the interview results indicated that the LLM-based PDRPE approach is effective in supporting the revision process. Therefore, this study provides valuable references and insights for future research on the application of LLM and effective instruction for students with writing difficulties.
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