Causal Model of Fear of Innovation Based on Teachers' Artificial Intelligence Literacy with Emphasis on the Mediating Role of Lifelong Learning

Document Type : Original Article

Author

Assistant Professor, Department of Educational Sciences, Payam Noor University, Tehran, Iran

10.30473/jpsy.2026.77247.1109

Abstract

The aim of this study was to investigate the causal model of fear of innovation based on the level of artificial intelligence literacy of teachers with an emphasis on the mediating role of lifelong learning. The research method was descriptive-correlational and structural equations were used to investigate the presented model. The statistical population of the study included all primary and secondary school teachers in Sahneh city, and 210 people were selected as the sample by simple random sampling. To collect data, Standards Questionnaire for Knowledge and Skills of Artificial Intelligence in Teachers of Ning (2025), Weil & Rosen's Fear of Technology (1995), and Li & Tsai's Lifelong Learning Literacy Questionnaire (2007) were used. The findings showed that AI literacy has a direct and positive effect on the fear of innovation and lifelong learning. And lifelong learning plays a significant mediating role in addition to having a direct impact on the fear of innovation. The results suggest that increasing AI literacy in teachers can directly and indirectly reduce their fear of innovation by reinforcing their desire to learn for life. Therefore, it is important to develop AI literacy and promote lifelong learning among teachers to reduce resistance to innovation and increase their readiness to adopt new technologies.

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