AI Literacy among Chinese Preschool Teachers: Empirical Status, Barriers and Cultivation Strategies

The transformative rise of artificial intelligence (AI) is propelling education systems into a new era, yet empirical research on AI literacy among preschool teachers remains scarce, particularly in China. This study investigates the current status, obstacles, and cultivation strategies for AI literacy among Chinese preschool teachers through a three-dimensional framework encompassing AI Knowledge, AI Ability, and AI Awareness. Using a mixed-methods sequential explanatory design, we collected data from 152 preschool teachers through stratified random sampling across eastern, central, and western regions of China, ensuring representation from both public and private institutions. The quantitative phase employed a validated questionnaire (Cronbach's α=0.93), while the qualitative phase involved in-depth interviews with 16 purposively selected participants. Results reveal that teachers' overall AI literacy is moderate, with self-reported awareness (M=3.44) surpassing both technical knowledge (M=3.34) and application ability (M=3.28). Notable gaps are found in technical knowledge application and system understanding. A "degree-inverse phenomenon" emerged: teachers with postgraduate qualifications reported lower AI literacy than their peers, attributed to limited practical exposure and heightened critical standards. Public-private disparities and gender differences further exacerbate inequities. Multi-level barriers include policy ambiguity at the macro level, insufficient institutional support and theory-heavy training at the organizational level, and entrenched reliance on traditional pedagogies at the individual level. Addressing these challenges requires systemic, multi-tiered strategies, including establishing national AI literacy standards tailored to preschool education, implementing dynamic monitoring systems, providing sustained institutional resources and hands-on professional development, and ensuring equitable access that values both technical competencies and ethical awareness.

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Publication Details

Journal
Asian Journal of Education and Social Studies
Published
2025-07-14
DOI
https://doi.org/10.9734/ajess/2025/v51i72214
Citations
2
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
3.39
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article

AI Literacy among Chinese Preschool Teachers: Empirical Status, Barriers and Cultivation Strategies

Guanzheng Chen, Zhongyuan Liao, Caixian Mo
2 citations
Asian Journal of Education and Social Studies
Online Learning and Analytics
3.39
article

AI Literacy among Chinese Preschool Teachers: Empirical Status, Barriers and Cultivation Strategies

Guanzheng Chen, Zhongyuan Liao, Caixian Mo
article en
2 citations

Abstract

The transformative rise of artificial intelligence (AI) is propelling education systems into a new era, yet empirical research on AI literacy among preschool teachers remains scarce, particularly in China. This study investigates the current status, obstacles, and cultivation strategies for AI literacy among Chinese preschool teachers through a three-dimensional framework encompassing AI Knowledge, AI Ability, and AI Awareness. Using a mixed-methods sequential explanatory design, we collected data from 152 preschool teachers through stratified random sampling across eastern, central, and western regions of China, ensuring representation from both public and private institutions. The quantitative phase employed a validated questionnaire (Cronbach's α=0.93), while the qualitative phase involved in-depth interviews with 16 purposively selected participants. Results reveal that teachers' overall AI literacy is moderate, with self-reported awareness (M=3.44) surpassing both technical knowledge (M=3.34) and application ability (M=3.28). Notable gaps are found in technical knowledge application and system understanding. A "degree-inverse phenomenon" emerged: teachers with postgraduate qualifications reported lower AI literacy than their peers, attributed to limited practical exposure and heightened critical standards. Public-private disparities and gender differences further exacerbate inequities. Multi-level barriers include policy ambiguity at the macro level, insufficient institutional support and theory-heavy training at the organizational level, and entrenched reliance on traditional pedagogies at the individual level. Addressing these challenges requires systemic, multi-tiered strategies, including establishing national AI literacy standards tailored to preschool education, implementing dynamic monitoring systems, providing sustained institutional resources and hands-on professional development, and ensuring equitable access that values both technical competencies and ethical awareness.

Asian Journal of Education and Social StudiesVol. 51(7)
Guangdong University of Foreign Studies (CN), Hezhou University (CN), Anhui Xinhua University (CN)
Openalex Percentile: Top 6%
Online Learning and Analytics
3.39
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