Evidence map›Paper›PMID 41583769›Full record

ArticleFrontiers in psychology2025

Exploring the impact of ICT interaction on students' creative thinking across performance levels: an explainable AI perspective.

Xinhai Cai, Yi Bi, Yonggang Feng

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. 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

3 authors.

Xinhai CaiFaculty of Education, Shandong Normal University, Jinan, China.
Yi BiOffice of Development Planning and Discipline Construction, Yantai University, Yantai, China.
Yonggang FengFaculty of Education, Shandong Normal University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study uses the PISA 2022 ICT questionnaire to examine how students' ICT interaction behaviours in digital environments predict creative thinking across low, medium, and high performance levels (Class 0-2). Using multi-class classification models with Shapley Additive Explanations (SHAP), we identify key ICT-related predictors spanning information retrieval, digital content creation, media evaluation, collaborative communication, and emotional response, with largely nonlinear and interactive effects. Results show that ICT influences creative thinking less through usage frequency than through the intentionality and complexity of ICT engagement and its sociocultural alignment. High-performing students tend to display more functional and strategic ICT behaviours, whereas low-performing students more often show superficial, recreational, or potentially unethical patterns, with emotional regulation, media literacy, and digital ethics emerging as salient factors. These findings clarify performance-specific ICT-creativity profiles and support targeted digital literacy interventions tailored to students at different ability levels.

Indexed as

creative thinkingexplainable AIICT interactionPISA 2022SHAP

Identifiers

PMID41583769
PMCPMC12823507

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.