Exploring the relationship between AI literacy, AI trust, AI dependency, and 21st century skills in preservice mathematics teachers
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Resumo
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.
Dados da obra
- Tipo
- Artigo
- Periódico
- Scientific Reports, v. 15, n. 1, p. 1-15
- Editora
- Nature Portfolio
- Ano
- 2025 (2025-04)
- Idioma
- en
- Palavras-chave
- Preservice mathematics teacher; ChatGPT; 21st-century skills; Generation-Artificial intelligence; AI literacy; trust in AI; AI dependency; 21st century skills; pre-service mathematics teachers; generative AI; problem-solving skills; critical thinking; creative thinking; collaboration skills; communication skills; self-confidence
- Temas
- Resolução de Problemas, Tecnologias Digitais
- DOI
- 10.1038/s41598-025-99127-0
- ISSN
- 2045-2322
- Licença
- cc-by-nc-nd
- Acesso
- Acesso aberto
- Fontes
- DOAJ — Directory of Open Access Journals; OpenAlex
- Na Biblioteca desde
- 01/10/2026 · verificada em 03/10/2026
Como citar
ABNT
ZHANG, Dongli et al.. Exploring the relationship between AI literacy, AI trust, AI dependency, and 21st century skills in preservice mathematics teachers. Scientific Reports, v. 15, n. 1, p. 1-15, 2025. DOI: https://doi.org/10.1038/s41598-025-99127-0.
APA
Zhang, D., Wijaya, T. T., Wang, Y., Su, M., Li, X., & Damayanti, N. W. (2025). Exploring the relationship between AI literacy, AI trust, AI dependency, and 21st century skills in preservice mathematics teachers. Scientific Reports, 15(1), 1-15. https://doi.org/10.1038/s41598-025-99127-0
BibTeX
@article{zhang2025,
author = {Zhang, Dongli and Wijaya, Tommy Tanu and Wang, Ying and Su, Mingyu and Li, Xinxin and Damayanti, Nia Wahyu},
title = {Exploring the relationship between AI literacy, AI trust, AI dependency, and 21st century skills in preservice mathematics teachers},
year = {2025},
journal = {Scientific Reports},
volume = {15},
number = {1},
pages = {1-15},
publisher = {Nature Portfolio},
doi = {10.1038/s41598-025-99127-0},
language = {en}
}RIS
TY - JOUR AU - Zhang, Dongli AU - Wijaya, Tommy Tanu AU - Wang, Ying AU - Su, Mingyu AU - Li, Xinxin AU - Damayanti, Nia Wahyu TI - Exploring the relationship between AI literacy, AI trust, AI dependency, and 21st century skills in preservice mathematics teachers PY - 2025 JO - Scientific Reports VL - 15 IS - 1 SP - 1 EP - 15 DO - 10.1038/s41598-025-99127-0 LA - en ER -
Referência gerada automaticamente a partir dos metadados das fontes; confira com o documento original. Baixar BibTeX · Baixar RIS
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