Fueling AI literacy through school support: unveiling the mediating role of basic psychological need satisfaction in Chinese university English teachers

通过学校支持提升人工智能素养:揭示基本心理需求满足在中国大学英语教师中的中介作用

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Abstract

Although the growing importance of AI integration in education is widely acknowledged, limited empirical research has explored how school support addressing teachers' basic psychological needs fosters AI literacy, especially in Chinese higher education. Grounded in Self-Determination Theory (SDT), this study investigated how school support influences the development of AI literacy among university English teachers in China, focusing on the roles of autonomy, competence, and relatedness. In this study, AI literacy involves understanding, application, evaluation, and ethical reflection on AI technology-key factors in educational technology integration. Through survey data from 412 teachers and semi-structured interviews with 23 teachers, the study developed and validated a model linking school support, basic psychological need satisfaction (BPNS), and AI literacy. Quantitative analysis indicated that school support enhances teachers' BPNS, which in turn mediates the impact of school support on AI literacy. Qualitative findings identified several key institutional strategies that address teachers' autonomy, competence, and relatedness, promoting AI literacy development. Together, these findings highlight the pivotal role of school support and teachers' BPNS in fostering AI literacy, providing insights for educational policy and teacher professional development.

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