Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

TEACHING ENGLISH THROUGH AGRICULTURAL PROBLEM-SOLVING TASKS: A COMPETENCY-ORIENTED MODEL

Authors: Hakimboyeva Muslima Ilhom qizi;

TEACHING ENGLISH THROUGH AGRICULTURAL PROBLEM-SOLVING TASKS: A COMPETENCY-ORIENTED MODEL

Abstract

This research paper delineates a novel competency-oriented model for English language pedagogy, specifically tailored for integration into agricultural educational frameworks. The core objective is to move beyond traditional rote learning by implementing problem-solving tasks that reflect authentic agricultural challenges. By centering the curriculum on real-world scenarios such as soil degradation, crop disease outbreaks, and market volatility, students are compelled to utilize English as a functional tool for critical thinking and professional communication. The model focuses on the development of communicative competence alongside technical proficiency, ensuring that learners can negotiate complex meanings in specialized contexts. The study examines the shift from teacher-centered instruction to student-led problem-solving, emphasizing the acquisition of "soft skills" and specialized vocabulary. Results indicate that this task-based approach significantly boosts student engagement and linguistic self-efficacy. This article provides a comprehensive roadmap for educators to design and execute competency-based tasks that bridge the gap between academic English and the practical demands of the global agricultural labor market, fostering a generation of specialists who are both technically skilled and linguistically articulate.

  • BIP!
    Impact byBIP!
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
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