Enhancing English education with Natural Language Processing: Research and development of automated grammar checking, scoring systems, and dialogue systems

Abstract. In this paper, we investigate the scope for transformational change that these technologies offer to English education. We examine how NLP can support English education through automated grammar checking having students text checked for grammatical errors in real time, automated scoring systems which evaluate written and verbal English against predefined criteria, and dialogue systems which interacts with learners in English to help develop their speaking and listening skills in an engaging and non-judgmental environment. We document the current status of these NLP applications, examine their educational benefits, highlight some of the challenges faced by the technologies and finally discuss the way forward for large-scale adoption of such technologies, bringing the research to a logical conclusion. We hope that this study will provide a comprehensive understanding of how NLP can be employed to transform education in English and also highlight some of the associated challenges and ethical dilemmas.

Authors

Institutions

Publication Details

Journal
Applied and Computational Engineering
Published
2024-11-08
DOI
https://doi.org/10.54254/2755-2721/102/20240956
Citations
1
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing English education with Natural Language Processing: Research and development of automated grammar checking, scoring systems, and dialogue systems

Junhui Hu, Jiazhen Zhang
1 citations
Applied and Computational Engineering
Natural Language Processing Techniques
0.35
article

Enhancing English education with Natural Language Processing: Research and development of automated grammar checking, scoring systems, and dialogue systems

Junhui Hu, Jiazhen Zhang
article en
1 citations

Abstract

Abstract. In this paper, we investigate the scope for transformational change that these technologies offer to English education. We examine how NLP can support English education through automated grammar checking having students text checked for grammatical errors in real time, automated scoring systems which evaluate written and verbal English against predefined criteria, and dialogue systems which interacts with learners in English to help develop their speaking and listening skills in an engaging and non-judgmental environment. We document the current status of these NLP applications, examine their educational benefits, highlight some of the challenges faced by the technologies and finally discuss the way forward for large-scale adoption of such technologies, bringing the research to a logical conclusion. We hope that this study will provide a comprehensive understanding of how NLP can be employed to transform education in English and also highlight some of the associated challenges and ethical dilemmas.

Applied and Computational EngineeringVol. 102(1)
Shandong University (CN), Liaoning Shihua University (CN)
Quality Education
Openalex Percentile: Top 32%
Natural Language Processing Techniques
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Enhancing English education with Natural Language Processing: Research and development of automated grammar checking, scoring systems, and dialogue systems — Junhui Hu, Jiazhen Zhang · Applied and Computational Engineering (2024) | TGRS Research Map | TGRS