Not All Received Peer Feedback Is Equal: The Self‐Regulation Bridge Between Online Peer Feedback and Learning Outcomes.
Background: Peer feedback is widely used to enhance learning outcomes in online or blended learning. Previous research has suggested that online peer feedback could promote self‐regulation, while the precise role of self‐regulated learning in the relationship between specific types of received peer...
| Published in: | Journal of Computer Assisted Learning Vol. 42; no. 4; pp. 1 - 22 |
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| Main Authors: | , , , , |
| Format: | equations & formulas research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
Aug2026
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=195655215&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195655215 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Aug2026 vid: 42 iid: 4 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 195655215 195655215 195655215 10.1002/jcal.70288 195655215 ppf: 1 ppct: 21 formats: tig: atl: Not All Received Peer Feedback Is Equal: The Self‐Regulation Bridge Between Online Peer Feedback and Learning Outcomes. aug: au: Zhang, Erqi Zhang, Zhaoli Li, Xiaojuan Li, Jiahao Liu, Hai affil: National Engineering Research Center for E‐Learning, Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, People's Republic of China sug: subj: Peer Group Feedback Self Regulation Outcomes of Education Educational Technology Online Education Students, Undergraduate Psychosocial Factors English as a Second Language Education Human China Questionnaires Student Attitudes Structural Equation Modeling Funding Source Cognition Academic Achievement Colleges and Universities China Male Female Young Adult Descriptive Statistics Data Analysis Software Confidence Intervals Mediation Analysis Male Female ab: Background: Peer feedback is widely used to enhance learning outcomes in online or blended learning. Previous research has suggested that online peer feedback could promote self‐regulation, while the precise role of self‐regulated learning in the relationship between specific types of received peer feedback and learning outcomes remains unclear. This knowledge gap limits the effective design of online peer feedback interventions. Objectives: This study aimed to examine the effects of three types of peer feedback (affective feedback, cognitive feedback, and metacognitive feedback) on feedback receivers' learning outcomes and to explore the mediating role of self‐regulated learning in these relationships. Methods: A total of 248 undergraduate students participated in the online peer feedback activity for a blended English writing course. At the end of the course, students completed a questionnaire measuring their perceptions of the received peer feedback and their self‐regulated learning. Structural equation modelling was employed to investigate the direct and indirect effects among the variables. Results and Conclusions: Results showed that only metacognitive feedback had a significant direct effect on feedback receivers' learning outcomes, but affective feedback and cognitive feedback did not. Importantly, self‐regulated learning significantly mediated the effects of all three types of peer feedback on feedback receivers' learning outcomes. These findings highlight that not all received peer feedback is equal, and fostering self‐regulated learning is crucial for translating online peer feedback into improved learning outcomes. Lay Summary: What is currently known about this topic? ○Peer feedback is widely used to support online or blended learning.○Online peer feedback has a positive impact on learning outcomes.○Online peer feedback can promote students' self‐regulated learning.○Self‐regulation is thought to be important for online or blended learning.What does this paper add? ○Metacognitive feedback directly improves learning outcomes.○Affective feedback and cognitive feedback have no direct effect on learning outcomes.○Self‐regulated learning mediates the effects of all three types of received peer feedback.Implications for practice or policy ○Educators should prioritise and scaffold metacognitive feedback.○Instructional designers should design tasks for post‐feedback self‐regulation.○Online learning platforms should include tools to support self‐regulated learning.○Policy should support self‐regulated learning to boost online or blended learning via peer feedback. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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