Evidence map›Paper›PMID 42505924›Full record

ArticleJournal of Intelligence2026

Modality Matters: How Combining Handwriting and Typewriting Practice Improves Chinese Skills Performance for Chinese L2 Learning in China.

Yuhan Guo, Yu Zhou, Jiaxiang Zhang, Yitong Luo

Abstract read
In one paragraph

Article in Journal of Intelligence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yuhan GuoFaculty of Education, Shaanxi Normal University, Xi'an 710062, China.
Yu ZhouFaculty of Education, Shaanxi Normal University, Xi'an 710062, China.ORCID 0009-0001-1522-4846
Jiaxiang ZhangSchool of Chinese Studies·School of Central Asia, Xi'an International Studies University, Xi'an 710128, China.
Yitong LuoFaculty of Education, Shaanxi Normal University, Xi'an 710062, China.

Funding

2025 General Project of the 14th Five-Year Plan for Educational Science SGH25Y3062
6 · The paper itself

Abstract

Chinese language practice, especially handwriting and typewriting practice, has always been a key method for mastering Chinese in Chinese L2 learning. However, current research on blended practice modalities that combine handwriting and typewriting remains insufficient. This study used a pilot study with 30 international students to compare the associative patterns of handwriting practice and blended practice (a sequential multimodal practice wherein handwriting instruction was followed by typewriting) on students' Chinese skills performance, Chinese learning motivation, and attitude. Results indicated that students using the blended practice were associated with significantly better Chinese skills performance, as well as higher levels of motivation and more positive attitudes compared to those using only handwriting. Exploratory path analysis identified a notable direct association between practice modality and Chinese skills performance; however, the pathways through motivation and attitude were not statistically detectable. These findings suggest that Chinese language teachers may consider designing lessons that incorporate this sequential blended practice, which may support improvements in L2 Chinese performance, motivation, and attitudes. Furthermore, second language learners should actively apply this practice modality to improve their Chinese L2 learning performance.

Indexed as

blended practiceChinese L2 learningChinese learning attitudeChinese learning motivationChinese skills performancehandwriting practice

Identifiers

PMID42505924
PMCPMC13412517

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.