Feedback is an important component in teaching academic writing and helps students to learn the conventions needed in writing their bachelor and master's theses. Although written corrective feedback (WCF) has been extensively researched in recent decades within second language (L2) writing instruction, the findings are mixed in terms of understanding which WCF approaches are the most efficient and in which contexts.The general consensus seems to be that less is more, but feedback on just a couple of error types in academic writing tasks can be dissatisfying both for learners to receive and teachers to provide. In the field of writing research, the cognitive processes in writing and revision have typically excluded the analysis of WCF. Nevertheless, the cognitive models of writing and revision processes could allow explaining some of the mixed findings in WCF research.

To examine the influence of cognitive load caused by WCF on revision success, this study analyses the metalinguistic WCF and subsequent revisions in
student texts. The study was conducted in an online academic writing course for university-level engineering students. The results indicated that cognitive load had a moderately strong correlation with revision success. Particularly, the more cognitively demanding WCF reduced the probability of students being able to revise their texts. Therefore, writing instructors should evaluate the cognitive load of the WCF they give on student writing and adjust the type and focus of feedback accordingly.
Original languageEnglish
Number of pages1
Publication statusPublished - 23 Aug 2023
MoE publication typeNot Eligible
EventBiennial EARLI Conference for Research on Learning and Instruction: Education as a hope in uncertain times - The Aristotle University of Thessaloniki and the University of Macedonia, Thessaloniki, Greece
Duration: 22 Aug 202326 Aug 2023
Conference number: 20


ConferenceBiennial EARLI Conference for Research on Learning and Instruction
Abbreviated titleEARLI
OtherThe European Association for Research on Learning and Instruction 2023
Internet address


  • Cognitive Skills and Processes
  • Engineering Education
  • Feedback
  • Writing/Literacy


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