Analysis of News Articles on the 2028 University Admission System Using Text Mining

This study aims to analyze the major issues and social responses following the announcement of the 2028 university admission system reform. To this end, 812 news articles reported in major Korean media outlets were collected, and the Latent Dirichlet Allocation (LDA) method, a text mining technique, was applied to identify key issues. The analysis revealed eight topics: ① the expansion of student records reflected in admissions and CSAT processes, ② the need for policy changes toward essay-type and descriptive assessments in line with future education, ③ the introduction of relative grading in elective subjects for career and interdisciplinary studies, raising concerns about inconsistency with the high school credit system, ④ perceived advantages in GPA and CSAT performance leading to a stronger preference for special-purpose high schools, autonomous private high schools, and prestigious school districts, ⑤ the National Education Commission’s recommendation to exclude advanced mathematics from the CSAT and to apply absolute grading to selected social science subjects, ⑥ controversy over the disclosure of integrated social studies and science questions, provoking concerns about increased private education and the undermining of the high school credit system, ⑦ debate over the reduction of mathematics coverage in the CSAT, with concerns about weakened competitiveness in STEM fields contrasted with expectations for reduced private education, and ⑧ changes in the GPA system that may accelerate the concentration of students in natural science tracks. These findings highlight two key implications: first, concerns about the practical effects and ripple impacts of the reform, and second, the issue of alignment between future education goals and the assessment system. This study employs a data-driven analytical approach to minimize subjective interpretation and provides empirical evidence for evaluating the social acceptance and policy validity of the university admission reform, thereby contributing to academic research.

Authors

Publication Details

Journal
Korea University Institute of Educational Research
Published
2025-08-31
DOI
https://doi.org/10.24299/kier.2025.383.51
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of News Articles on the 2028 University Admission System Using Text Mining

L. Kim, Su Young Kim
Korea University Institute of Educational Research
Technology and Data Analysis
article

Analysis of News Articles on the 2028 University Admission System Using Text Mining

L. Kim, Su Young Kim
article en

Abstract

This study aims to analyze the major issues and social responses following the announcement of the 2028 university admission system reform. To this end, 812 news articles reported in major Korean media outlets were collected, and the Latent Dirichlet Allocation (LDA) method, a text mining technique, was applied to identify key issues. The analysis revealed eight topics: ① the expansion of student records reflected in admissions and CSAT processes, ② the need for policy changes toward essay-type and descriptive assessments in line with future education, ③ the introduction of relative grading in elective subjects for career and interdisciplinary studies, raising concerns about inconsistency with the high school credit system, ④ perceived advantages in GPA and CSAT performance leading to a stronger preference for special-purpose high schools, autonomous private high schools, and prestigious school districts, ⑤ the National Education Commission’s recommendation to exclude advanced mathematics from the CSAT and to apply absolute grading to selected social science subjects, ⑥ controversy over the disclosure of integrated social studies and science questions, provoking concerns about increased private education and the undermining of the high school credit system, ⑦ debate over the reduction of mathematics coverage in the CSAT, with concerns about weakened competitiveness in STEM fields contrasted with expectations for reduced private education, and ⑧ changes in the GPA system that may accelerate the concentration of students in natural science tracks. These findings highlight two key implications: first, concerns about the practical effects and ripple impacts of the reform, and second, the issue of alignment between future education goals and the assessment system. This study employs a data-driven analytical approach to minimize subjective interpretation and provides empirical evidence for evaluating the social acceptance and policy validity of the university admission reform, thereby contributing to academic research.

Korea University Institute of Educational ResearchVol. 96
Openalex Percentile: Top 65%
Technology and Data Analysis
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.