Evidence map›Paper›PMID 39866580›Full record

ArticlePsychology research and behavior management2025

When Technology Meets Anxiety:The Moderating Role of AI Usage in the Relationship Between Social Anxiety, Learning Adaptability, and Behavioral Problems Among Chinese Primary School Students.

GuangYuan Ma, ShiQin Tian, Yang Song, Yi Chen, Hui Shi, JingChi Li

Abstract read
In one paragraph

Article in Psychology research and behavior management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

6 authors.

GuangYuan Ma *School of Humanities and Management Science, Southwest Medical University, Luzhou, 646000, People's Republic of China.ORCID 0009-0004-5081-3242
ShiQin Tian *School of Humanities and Management Science, Southwest Medical University, Luzhou, 646000, People's Republic of China.
Yang SongSchool of Humanities and Management Science, Southwest Medical University, Luzhou, 646000, People's Republic of China.
Yi ChenSchool of Humanities and Management Science, Southwest Medical University, Luzhou, 646000, People's Republic of China.
Hui ShiSchool of Humanities and Management Science, Southwest Medical University, Luzhou, 646000, People's Republic of China.
JingChi LiDepartment of Orthopedics, the Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to examine the relationships between social anxiety, learning adaptability, AI technology usage, and behavioral problems among primary school students, with a focus on the mediating role of learning adaptability and the moderating role of AI usage. Methods: A cross-sectional survey was conducted among 1240 primary school students aged 8-15 in Luzhou, Sichuan Province. Social anxiety was measured using the Social Anxiety Scale for Children (SASC), learning adaptability was assessed with the Children's Learning Adaptability Questionnaire (CSAQ), behavioral problems were evaluated using the Child Behavior Checklist (CBCL), and AI tool usage was gauged through a self-developed questionnaire. Data analysis involved correlation and multiple regression analyses using SPSS, with the moderated mediation effect analyzed through Process Model 59. Results: Social anxiety was found to significantly and positively predict behavioral problems, indicating that higher levels of social anxiety were associated with more behavioral problems. Learning adaptability partially mediated this relationship, suggesting that social anxiety not only directly impacts behavioral problems but also indirectly heightens the risk by reducing learning adaptability. Additionally, AI usage moderated the relationship between learning adaptability and behavioral problems, with a stronger effect of learning adaptability on behavioral problems observed at higher levels of AI usage. Specifically, the positive influence of learning adaptability on behavioral problems became more pronounced as AI usage increased, indicating that frequent AI use can amplify the impact of learning adaptability on behavioral outcomes. Conclusion: Social anxiety increases the risk of behavioral problems in primary school students by diminishing learning adaptability. AI technology plays a moderating role in the relationship between learning adaptability and behavioral problems, with its effects becoming more pronounced at higher levels of AI usage. This highlights the need for educators to focus on improving students' learning adaptability, judiciously incorporate AI technology, and consider individual differences, particularly mental health, to foster comprehensive and healthy student development.

Indexed as

AI usagebehavioral problemslearning adaptabilityprimary school studentssocial anxiety

Identifiers

PMID39866580
PMCPMC11762439

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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.