Evidence map›Paper›PMID 40275054›Full record

ArticleScientific reports2025

Exploring the relationship between AI literacy, AI trust, AI dependency, and 21st century skills in preservice mathematics teachers.

Dongli Zhang, Tommy Tanu Wijaya, Ying Wang, Mingyu Su, Xinxin Li, Nia Wahyu Damayanti

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
–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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  6. AI in Psychotherapy: Opportunities and Risks.Behavioral sciences (Basel, Switzerland) · 2026
    Review
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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.

Dongli ZhangSchool of Mathematics and Statistics, Qinghai Normal University, Xining, China.
Tommy Tanu WijayaSchool of Mathematical Sciences, Beijing Normal University, Beijing, China. 11132024035@bnu.edu.cn.
Ying WangSchool of Education Sciences, Northwest Normal University, Lanzhou, China. 2023103058@nwnu.edu.cn.
Mingyu SuSchool of Mathematical Sciences, Beijing Normal University, Beijing, China.
Xinxin LiSchool of Mathematical Sciences, Beijing Normal University, Beijing, China.
Nia Wahyu DamayantiFMIPA Universitas Negeri Surabaya, Surabaya, Indonesia.

Funding

Qinghai Normal University Teaching Research Project qhnujy202226
6 · The paper itself

Abstract

Generation-Artificial Intelligence (Gen-AI) is widely used in education and has been shown to improve students' mathematical abilities. However, dependency on Gen-AI may negatively impact these abilities and should be approached with caution. This study uses Structural Equation Modeling (SEM) to determine the relationship between AI literacy, AI trust, AI dependency, and 21st-century skills in preservice mathematics teachers. This research utilizes a self-designed questionnaire with 469 preservice mathematics teachers as respondents. SPSS and AMOS software were used for data analysis. The findings reveal that both AI trust and AI literacy significantly influence preservice mathematics teachers' dependency on Gen-AI. Furthermore, this dependency on Gen-AI among preservice mathematics teachers has a significant negative effect on their problem-solving ability, critical thinking, creative thinking, collaboration skills, communication skills, and self-confidence. This research provides new information to governments, schools, and teachers that caution should be exercised when attempting to enhance AI literacy and trust in AI among preservice mathematics teachers.

Indexed as

21st-century skillsChatGPTGeneration-Artificial intelligencePreservice mathematics teacher

Identifiers

PMID40275054
PMCPMC12022015

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.