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Exploring the effects of AI literacy in teacher learning: an empirical study

Education

Exploring the effects of AI literacy in teacher learning: an empirical study

H. Du, Y. Sun, et al.

This study explores the key factors affecting K-12 teachers' intentions to learn AI in China. The research reveals how perceptions of AI’s social benefit and self-efficacy play a crucial role in shaping these intentions, with findings that emphasize the importance of AI literacy. Conducted by Hua Du, Yanchao Sun, Haozhe Jiang, A. Y. M. Atiquil Islam, and Xiaoqing Gu, this research provides vital insights into AI education.

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Playback language: English
Abstract
This study investigates the factors influencing K-12 teachers' intentions to learn AI in China. Survey data from 318 teachers were analyzed using structural equation modeling. Results show that perceptions of AI's social benefit and self-efficacy in learning AI directly influence intentions, while AI literacy and awareness of AI ethics indirectly influence intentions through their impact on perceptions and self-efficacy. AI literacy significantly affects all other constructs.
Publisher
Humanities & Social Sciences Communications
Published On
May 03, 2024
Authors
Hua Du, Yanchao Sun, Haozhe Jiang, A. Y. M. Atiquil Islam, Xiaoqing Gu
Tags
K-12 education
AI literacy
teacher intentions
self-efficacy
AI ethics
China
social benefit
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