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Conference object . 2025
License: CC BY
Data sources: ZENODO
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Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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GENRE-SPECIFIC WRITING INSTRUCTION ON THE PRODUCTION OF EFFECTIVE RESEARCH ARTICLES BY NON-NATIVE ENGLISH- SPEAKING AGRICULTURAL SCIENTISTS: A SYSTEMIC FUNCTIONAL LINGUISTICS (SFL) PERSPECTIVE

Authors: Gabriel Ayodeji Ogunmola;

GENRE-SPECIFIC WRITING INSTRUCTION ON THE PRODUCTION OF EFFECTIVE RESEARCH ARTICLES BY NON-NATIVE ENGLISH- SPEAKING AGRICULTURAL SCIENTISTS: A SYSTEMIC FUNCTIONAL LINGUISTICS (SFL) PERSPECTIVE

Abstract

This study investigates the challenges faced by non-native English speaking (NNES) agricultural scientists in publishing research articles and explores the effectiveness of genre-specific writing instruction informed by Systemic Functional Linguistics (SFL). The research examines the linguistic features of successful agricultural research articles across three sub-genres (original research, review articles, and short communications) to identify genre-specific conventions. A mixed-methods approach, employing a quasi-experimental design, evaluates the impact of an SFL-informed writing intervention on the quality and effectiveness of research articles written by NNES agricultural scientists. Quantitative data, including pre- and post-instruction writing scores and improvements in specific writing skills, are analyzed alongside qualitative feedback from participants. The findings reveal distinct metafunctional preferences across sub-genres and demonstrate significant improvements in writing quality following the intervention. The study highlights the importance of genre-specific instruction tailored to the needs of NNES researchers in agricultural science and offers practical recommendations for developing effective writing pedagogy.

Keywords

Genre analysis, Systemic Functional Linguistics (SFL), Non-native English speakers (NNES), Agricultural science, Academic writing, Research articles, Publication, Meta-functions.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green