{"title":"利用中学生的痕迹数据了解多源写作中的元认知过程","authors":"Halima Alnashiri, Mladen Rakovic, Sadia Nawaz, Xinyu Li, Joni Lamsa, Lyn Lim, Maria Bannert, Sanna Jarvela, Dragan Gasevic","doi":"10.1111/jcal.70114","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Integrating information from multiple sources is a common yet challenging learning task for secondary school students. Many underuse metacognitive skills, such as monitoring and control, which are essential for promoting engagement and effective learning outcomes.</p>\n </section>\n \n <section>\n \n <h3> Objective</h3>\n \n <p>This study aims to examine the relationship between metacognitive processes and the quality of writing from multiple sources with diverse language backgrounds.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>To understand these processes, we conducted a laboratory study with 162 secondary students from diverse language backgrounds (English, German and Finnish). We collected trace data about metacognition while students were reading and writing in a digital learning platform. These data, along with the language used by students to produce their writing, were analysed to determine the association of metacognition with essay scores obtained using both automated and human evaluations.</p>\n </section>\n \n <section>\n \n <h3> Result and Conclusion</h3>\n \n <p>Our findings indicate that students from different language backgrounds exhibit varying performance levels detectable by automated scoring. Secondary school students showed limited metacognitive processes in multi-source writing; this contrasts with findings from previous studies conducted in higher education. These findings can inform the development of analytics-based tools to support secondary students' writing through trace data and automated essay scoring, and provide evidence of the need for targeted interventions to assist and support secondary school students in improving their writing from multiple sources.</p>\n </section>\n </div>","PeriodicalId":48071,"journal":{"name":"Journal of Computer Assisted Learning","volume":"41 5","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jcal.70114","citationCount":"0","resultStr":"{\"title\":\"Using Trace Data of Secondary Students to Understand Metacognitive Processes in Writing From Multiple Sources\",\"authors\":\"Halima Alnashiri, Mladen Rakovic, Sadia Nawaz, Xinyu Li, Joni Lamsa, Lyn Lim, Maria Bannert, Sanna Jarvela, Dragan Gasevic\",\"doi\":\"10.1111/jcal.70114\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Integrating information from multiple sources is a common yet challenging learning task for secondary school students. Many underuse metacognitive skills, such as monitoring and control, which are essential for promoting engagement and effective learning outcomes.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>This study aims to examine the relationship between metacognitive processes and the quality of writing from multiple sources with diverse language backgrounds.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>To understand these processes, we conducted a laboratory study with 162 secondary students from diverse language backgrounds (English, German and Finnish). We collected trace data about metacognition while students were reading and writing in a digital learning platform. These data, along with the language used by students to produce their writing, were analysed to determine the association of metacognition with essay scores obtained using both automated and human evaluations.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Result and Conclusion</h3>\\n \\n <p>Our findings indicate that students from different language backgrounds exhibit varying performance levels detectable by automated scoring. Secondary school students showed limited metacognitive processes in multi-source writing; this contrasts with findings from previous studies conducted in higher education. These findings can inform the development of analytics-based tools to support secondary students' writing through trace data and automated essay scoring, and provide evidence of the need for targeted interventions to assist and support secondary school students in improving their writing from multiple sources.</p>\\n </section>\\n </div>\",\"PeriodicalId\":48071,\"journal\":{\"name\":\"Journal of Computer Assisted Learning\",\"volume\":\"41 5\",\"pages\":\"\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jcal.70114\",\"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.70114\",\"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.70114","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}
Using Trace Data of Secondary Students to Understand Metacognitive Processes in Writing From Multiple Sources
Background
Integrating information from multiple sources is a common yet challenging learning task for secondary school students. Many underuse metacognitive skills, such as monitoring and control, which are essential for promoting engagement and effective learning outcomes.
Objective
This study aims to examine the relationship between metacognitive processes and the quality of writing from multiple sources with diverse language backgrounds.
Methods
To understand these processes, we conducted a laboratory study with 162 secondary students from diverse language backgrounds (English, German and Finnish). We collected trace data about metacognition while students were reading and writing in a digital learning platform. These data, along with the language used by students to produce their writing, were analysed to determine the association of metacognition with essay scores obtained using both automated and human evaluations.
Result and Conclusion
Our findings indicate that students from different language backgrounds exhibit varying performance levels detectable by automated scoring. Secondary school students showed limited metacognitive processes in multi-source writing; this contrasts with findings from previous studies conducted in higher education. These findings can inform the development of analytics-based tools to support secondary students' writing through trace data and automated essay scoring, and provide evidence of the need for targeted interventions to assist and support secondary school students in improving their writing from multiple sources.
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