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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2025

Improving EFL Students' Reading Skills Using Graph Attention Networks and Intelligence-Based Tasks

The record

Type
Publication
Date
1 January 2025
Level
International — held abroad
Journal
3rd International Conference on Integrated Circuits and Communication Systems Icicacs 2025
Published
1 January 2025
DOI
10.1109/icicacs65178.2025.10968479
Scopus ID
105004739337
Authors
6
Open access
No
Citations
3
International co-authorship
Yes
Co-author countries
IN, OM

Classification

Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.

UN Sustainable Development Goals

  1. 4.3 Ensure equal access for all women and men to affordable quality technical, vocational and tertiary education, including university

    TargetPrimaryHigh confidenceJudged

    Graph attention neural networks and latent Dirichlet allocation improve English language reading comprehension for EFL learners, achieving 95.39% accuracy.

    High confidence
    The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

  2. 17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing

    TargetSecondaryHigh confidenceRule-derivedrule sdg17-structural-v1

    Structural signal: co-authorship outside India.

    Rule-derived
    Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
    Produced by
    sdg17-structural-v1, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-1 Empowered Indians

    ThemePrimaryHigh confidenceJudged

    Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 4 label. Graph attention neural networks and latent Dirichlet allocation improve English language reading comprehension for EFL learners, achieving 95.39% accuracy.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Improving EFL Students' Reading Skills Using Graph Attention Networks and Intelligence-Based Tasks”. Kortex.

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