Exploring the Nature of Peer Feedback: An Epistemic Network Analysis Approach

Saved in:
Bibliographic Details
Title: Exploring the Nature of Peer Feedback: An Epistemic Network Analysis Approach
Language: English
Authors: Olga Viberg (ORCID 0000-0002-8543-3774), Martine Baars (ORCID 0000-0001-7018-6187), Rafael Ferreira Mello (ORCID 0000-0003-3548-9670), Niels Weerheim (ORCID 0000-0002-6009-8658), Daniel Spikol (ORCID 0000-0001-9454-0793), Cristian Bogdan, Dragan Gasevic (ORCID 0000-0001-9265-1908), Fred Paas (ORCID 0000-0002-1647-5305)
Source: Journal of Computer Assisted Learning. 2024 40(6):2809-2821.
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 13
Publication Date: 2024
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Feedback (Response), Peer Evaluation, Computer Assisted Instruction, Cooperative Learning, College Students, Grades (Scholastic), Correlation
DOI: 10.1111/jcal.13035
ISSN: 0266-4909
1365-2729
Abstract: 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.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1448410
Database: ERIC
FullText Text:
  Availability: 0
Header DbId: eric
DbLabel: ERIC
An: EJ1448410
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Exploring the Nature of Peer Feedback: An Epistemic Network Analysis Approach
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Olga+Viberg%22">Olga Viberg</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-8543-3774">0000-0002-8543-3774</externalLink>)<br /><searchLink fieldCode="AR" term="%22Martine+Baars%22">Martine Baars</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-7018-6187">0000-0001-7018-6187</externalLink>)<br /><searchLink fieldCode="AR" term="%22Rafael+Ferreira+Mello%22">Rafael Ferreira Mello</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-3548-9670">0000-0003-3548-9670</externalLink>)<br /><searchLink fieldCode="AR" term="%22Niels+Weerheim%22">Niels Weerheim</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-6009-8658">0000-0002-6009-8658</externalLink>)<br /><searchLink fieldCode="AR" term="%22Daniel+Spikol%22">Daniel Spikol</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-9454-0793">0000-0001-9454-0793</externalLink>)<br /><searchLink fieldCode="AR" term="%22Cristian+Bogdan%22">Cristian Bogdan</searchLink><br /><searchLink fieldCode="AR" term="%22Dragan+Gasevic%22">Dragan Gasevic</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-9265-1908">0000-0001-9265-1908</externalLink>)<br /><searchLink fieldCode="AR" term="%22Fred+Paas%22">Fred Paas</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-1647-5305">0000-0002-1647-5305</externalLink>)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22Journal+of+Computer+Assisted+Learning%22"><i>Journal of Computer Assisted Learning</i></searchLink>. 2024 40(6):2809-2821.
– Name: Avail
  Label: Availability
  Group: Avail
  Data: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 13
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2024
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Journal Articles<br />Reports - Research
– Name: Audience
  Label: Education Level
  Group: Audnce
  Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink>
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Feedback+%28Response%29%22">Feedback (Response)</searchLink><br /><searchLink fieldCode="DE" term="%22Peer+Evaluation%22">Peer Evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Assisted+Instruction%22">Computer Assisted Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Cooperative+Learning%22">Cooperative Learning</searchLink><br /><searchLink fieldCode="DE" term="%22College+Students%22">College Students</searchLink><br /><searchLink fieldCode="DE" term="%22Grades+%28Scholastic%29%22">Grades (Scholastic)</searchLink><br /><searchLink fieldCode="DE" term="%22Correlation%22">Correlation</searchLink>
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1111/jcal.13035
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 0266-4909<br />1365-2729
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2024
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ1448410
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1448410
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/jcal.13035
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 2809
    Subjects:
      – SubjectFull: Feedback (Response)
        Type: general
      – SubjectFull: Peer Evaluation
        Type: general
      – SubjectFull: Computer Assisted Instruction
        Type: general
      – SubjectFull: Cooperative Learning
        Type: general
      – SubjectFull: College Students
        Type: general
      – SubjectFull: Grades (Scholastic)
        Type: general
      – SubjectFull: Correlation
        Type: general
    Titles:
      – TitleFull: Exploring the Nature of Peer Feedback: An Epistemic Network Analysis Approach
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Olga Viberg
      – PersonEntity:
          Name:
            NameFull: Martine Baars
      – PersonEntity:
          Name:
            NameFull: Rafael Ferreira Mello
      – PersonEntity:
          Name:
            NameFull: Niels Weerheim
      – PersonEntity:
          Name:
            NameFull: Daniel Spikol
      – PersonEntity:
          Name:
            NameFull: Cristian Bogdan
      – PersonEntity:
          Name:
            NameFull: Dragan Gasevic
      – PersonEntity:
          Name:
            NameFull: Fred Paas
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 0266-4909
            – Type: issn-electronic
              Value: 1365-2729
          Numbering:
            – Type: volume
              Value: 40
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Journal of Computer Assisted Learning
              Type: main
ResultId 1