Brain, Digital, & Learning

 Open access, Peer Reviewed

Indexed in KCI

pISSN 2384-2474
eISSN 2586-7490

RESEARCH ARTICLE

Corpus-based Feedback in Elementary English Writing: Impacts on Performance and Learner Attitudes

1Busan Chungdong Elementary School
2Korea National University of Education

Correspondence to Dong Ju, Lee, maydjlee@knue.ac.kr

Brain, Digital, & Learning. Volume 15, Number 2, 217–234, June 2025. https://doi.org/10.31216/BDL.2025.15.2.7
Received on May 30, 2025, Revised on June 26, 2025, Accepted on June 27, 2025, Published on June 30, 2025.
Copyright © 2025 Institute of Brain based Education, Korea National University of Education This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This study examines the impact of corpus-based feedback on elementary school students’ English writing performance and attitudes. Forty-two fifth-grade students were assigned to either a research group (n = 22), which received data-driven learning (DDL) feedback using teacher-selected concordance examples, or a comparison group (n = 20), which received direct teacher feedback and explicit instruction. Across four instructional lessons, both groups participated in pre- and post-writing assessments, and qualitative data were collected through surveys and interviews. The results indicate that the corpus-based group demonstrated greater improvement in writing performance compared to the comparison group, with significant gains observed among both higher- and lower-proficiency learners when appropriate scaffolding was provided. While students generally responded positively to corpus-based feedback, some reported difficulties during the writing process. These f indings suggest that corpus-based feedback can be an effective pedagogical approach in elementary writing instruction, offering a valuable alternative to conventional feedback methods.
Keywords

Corpus, data-driven learning, English writing, feedback

Section