Exploring Authentic Texts in Korean EFL Classrooms: A Topic Modeling Approach to English Newspaper-Based Research

This study investigates research trends in the use of English newspapers as instructional materials in Korean EFL education through Latent Dirichlet Allocation (LDA) topic modeling. A corpus of 27 journal article abstracts was constructed through a systematic search and screening process, and analyzed using LDA to uncover underlying thematic structures. The topic modeling analysis identified five distinct themes: (1) reading instruction and engagement with English-language materials, (2) self-directed and strategy-based learning, (3) output-oriented instruction through writing and English clubs, (4) experimental studies on instructional effectiveness, and (5) project-based learning in primary-level English education. The inter-topic distance map revealed that Topics 1-3 form a pedagogical core focused on classroom engagement and skill integration, while Topics 4 and 5 represent more peripheral yet specialized domains. These findings suggest that English newspapers serve diverse instructional functions, supporting both cognitive-linguistic development and learner motivation. Methodologically, the study demonstrates the utility of LDA topic modeling in synthesizing fragmented research and identifying latent patterns not easily captured by traditional reviews. Pedagogically, it offers insights for integrating authentic materials into EFL instruction across educational contexts.

Authors

Publication Details

Published
2025-05-31
DOI
https://doi.org/10.31352/jer.23.2.1
Primary Topic
Diverse Approaches in Healthcare and Education Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring Authentic Texts in Korean EFL Classrooms: A Topic Modeling Approach to English Newspaper-Based Research

Je Young Lee
Diverse Approaches in Healthcare and Education Studies
article

Exploring Authentic Texts in Korean EFL Classrooms: A Topic Modeling Approach to English Newspaper-Based Research

Je Young Lee
article en

Abstract

This study investigates research trends in the use of English newspapers as instructional materials in Korean EFL education through Latent Dirichlet Allocation (LDA) topic modeling. A corpus of 27 journal article abstracts was constructed through a systematic search and screening process, and analyzed using LDA to uncover underlying thematic structures. The topic modeling analysis identified five distinct themes: (1) reading instruction and engagement with English-language materials, (2) self-directed and strategy-based learning, (3) output-oriented instruction through writing and English clubs, (4) experimental studies on instructional effectiveness, and (5) project-based learning in primary-level English education. The inter-topic distance map revealed that Topics 1-3 form a pedagogical core focused on classroom engagement and skill integration, while Topics 4 and 5 represent more peripheral yet specialized domains. These findings suggest that English newspapers serve diverse instructional functions, supporting both cognitive-linguistic development and learner motivation. Methodologically, the study demonstrates the utility of LDA topic modeling in synthesizing fragmented research and identifying latent patterns not easily captured by traditional reviews. Pedagogically, it offers insights for integrating authentic materials into EFL instruction across educational contexts.

Vol. 23(2)
Openalex Percentile: Top 83%
Diverse Approaches in Healthcare and Education Studies
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.