Encouraging Errors Through Gradual Feedback to Improve Vocabulary Learning

Lukas Ansteeg, Ton Dijkstra, Frank Leoné

2023

Abstract

Making errors that are related to the correct answer can aid the learning of vocabulary. Encouraging error commission may improve learning outcomes and provide insight into latent learning processes. We investigate the possibility of eliciting useful errors through the use of orthographic similarity-based feedback. We find that error commissions fully replace non-answers during a learning task and largely replace them during post-tests. Participants receiving similarity-based feedback seem to better consolidate orthographic knowledge over a one-week delay. The committed errors provide evidence for gradual learning of sublexical elements and for theories holding that specificity of representations increases during learning. Gradual feedback shows to also have motivational benefits. These findings suggest promising insights for classroom and digital vocabulary instruction.

Download


Paper Citation


in Harvard Style

Ansteeg L., Dijkstra T. and Leoné F. (2023). Encouraging Errors Through Gradual Feedback to Improve Vocabulary Learning. In Proceedings of the 15th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-641-5, SciTePress, pages 79-91. DOI: 10.5220/0011975100003470


in Bibtex Style

@conference{csedu23,
author={Lukas Ansteeg and Ton Dijkstra and Frank Leoné},
title={Encouraging Errors Through Gradual Feedback to Improve Vocabulary Learning},
booktitle={Proceedings of the 15th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2023},
pages={79-91},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011975100003470},
isbn={978-989-758-641-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - Encouraging Errors Through Gradual Feedback to Improve Vocabulary Learning
SN - 978-989-758-641-5
AU - Ansteeg L.
AU - Dijkstra T.
AU - Leoné F.
PY - 2023
SP - 79
EP - 91
DO - 10.5220/0011975100003470
PB - SciTePress