A Study on Measuring Linguistic Difficulty of Chinese Educational Texts for Personalized Learning

This study proposes a method for evaluating the difficulty level of Chinese educational texts based on key linguistic factors: vocabulary difficulty, grammatical complexity, idiomatic expressions, and sentence length. In second language acquisition, learners are required to develop multiple language skills simultaneously, making the selection of level-appropriate reading materials essential for effective learning.<br/> Using the Chinese Proficiency Grading Standards for International Chinese Language Education (GF0025-2021) as the benchmark, this study conducted a quantitative analysis of the four linguistic features and examined their correlation with text difficulty levels. A multiple regression analysis revealed that vocabulary difficulty, grammar difficulty, and idiomatic expressions significantly affect text difficulty, while sentence length does not have a statistically meaningful impact. Notably, idiomatic expressions were identified as the most influential factor.<br/> A comprehensive readability formula was derived through discriminant analysis and applied to ungraded HSK texts. The results were then compared with expert evaluations to validate the formula’s practical applicability. This study offers an integrated approach to text difficulty assessment and highlights the need for future research to incorporate learners’ perceived difficulty to improve precision.

Authors

Publication Details

Journal
The Journal of Chinese Language and Literature
Published
2025-06-30
DOI
https://doi.org/10.25021/jcll.2025.6.152.165
Primary Topic
Educational Research and Pedagogy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Study on Measuring Linguistic Difficulty of Chinese Educational Texts for Personalized Learning

Yoon-young Lee
The Journal of Chinese Language and Literature
Educational Research and Pedagogy
article

A Study on Measuring Linguistic Difficulty of Chinese Educational Texts for Personalized Learning

Yoon-young Lee
article en

Abstract

This study proposes a method for evaluating the difficulty level of Chinese educational texts based on key linguistic factors: vocabulary difficulty, grammatical complexity, idiomatic expressions, and sentence length. In second language acquisition, learners are required to develop multiple language skills simultaneously, making the selection of level-appropriate reading materials essential for effective learning.<br/> Using the Chinese Proficiency Grading Standards for International Chinese Language Education (GF0025-2021) as the benchmark, this study conducted a quantitative analysis of the four linguistic features and examined their correlation with text difficulty levels. A multiple regression analysis revealed that vocabulary difficulty, grammar difficulty, and idiomatic expressions significantly affect text difficulty, while sentence length does not have a statistically meaningful impact. Notably, idiomatic expressions were identified as the most influential factor.<br/> A comprehensive readability formula was derived through discriminant analysis and applied to ungraded HSK texts. The results were then compared with expert evaluations to validate the formula’s practical applicability. This study offers an integrated approach to text difficulty assessment and highlights the need for future research to incorporate learners’ perceived difficulty to improve precision.

The Journal of Chinese Language and LiteratureVol. 152
Quality Education
Openalex Percentile: Top 80%
Educational Research and Pedagogy
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.

A Study on Measuring Linguistic Difficulty of Chinese Educational Texts for Personalized Learning — Yoon-young Lee · The Journal of Chinese Language and Literature (2025) | TGRS Research Map | TGRS