Olga Viberg, Martine Baars, Rafael Ferreira Mello, Niels Weerheim, Daniel Spikol, Cristian Bogdan, Dragan Gasevic, Fred Paas
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Exploring what types of feedback are used, and how they relate to each other and are related to academic performance has important implications for students and teachers.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This study was conducted in the higher education setting. It used a dataset consisting of student peer feedback messages (<i>N</i> = 2444) and grades from 231 students who participated in a large engineering course. Using qualitative methods, peer feedback was coded inductively. Epistemic network analysis (ENA) was used to analyse the relation between peer feedback types and performance.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Based on the five types of peer feedback (i.e., ‘management’, ‘cognition’ ‘affect’, ‘interpersonal factors’ and ‘suggestions for improvements’), the results of the ENA showed that student feedback categories ‘management’, ‘cognition’ and ‘affect’ were positively related to student performance at the formative assessment phase.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>The findings and the ENA visualizations also show that ‘suggestions for improvement’ and ‘interpersonal factors’ were not a significant part of student learning in peer assessment and feedback in the studied context.</p>\n </section>\n </div>","PeriodicalId":48071,"journal":{"name":"Journal of Computer Assisted Learning","volume":"40 6","pages":"2809-2821"},"PeriodicalIF":5.1000,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jcal.13035","citationCount":"0","resultStr":"{\"title\":\"Exploring the nature of peer feedback: An epistemic network analysis approach\",\"authors\":\"Olga Viberg, Martine Baars, Rafael Ferreira Mello, Niels Weerheim, Daniel Spikol, Cristian Bogdan, Dragan Gasevic, Fred Paas\",\"doi\":\"10.1111/jcal.13035\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background Study</h3>\\n \\n <p>Peer feedback has been used as an effective instructional strategy to enhance students' learning in higher education.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Objectives</h3>\\n \\n <p>This paper reports on the findings of an explorative study that aimed to increase our understanding of the nature and role of peer feedback in the students' learning process in a computer-supported collaborative learning (CSCL) setting. Exploring what types of feedback are used, and how they relate to each other and are related to academic performance has important implications for students and teachers.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>This study was conducted in the higher education setting. It used a dataset consisting of student peer feedback messages (<i>N</i> = 2444) and grades from 231 students who participated in a large engineering course. Using qualitative methods, peer feedback was coded inductively. 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Exploring the nature of peer feedback: An epistemic network analysis approach
Background Study
Peer feedback has been used as an effective instructional strategy to enhance students' learning in higher education.
Objectives
This paper reports on the findings of an explorative study that aimed to increase our understanding of the nature and role of peer feedback in the students' learning process in a computer-supported collaborative learning (CSCL) setting. Exploring what types of feedback are used, and how they relate to each other and are related to academic performance has important implications for students and teachers.
Methods
This study was conducted in the higher education setting. It used a dataset consisting of student peer feedback messages (N = 2444) and grades from 231 students who participated in a large engineering course. Using qualitative methods, peer feedback was coded inductively. Epistemic network analysis (ENA) was used to analyse the relation between peer feedback types and performance.
Results
Based on the five types of peer feedback (i.e., ‘management’, ‘cognition’ ‘affect’, ‘interpersonal factors’ and ‘suggestions for improvements’), the results of the ENA showed that student feedback categories ‘management’, ‘cognition’ and ‘affect’ were positively related to student performance at the formative assessment phase.
Conclusions
The findings and the ENA visualizations also show that ‘suggestions for improvement’ and ‘interpersonal factors’ were not a significant part of student learning in peer assessment and feedback in the studied context.
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
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