A Latent Profile Analysis of School Leaders’ Artificial Intelligence Literacy and its Impacts on Self-Efficacy, Trust, and Anxiety (82665)

Session Information: Educational Policy, Leadership, Management & Administration
Session Chair: Yi Huang

Saturday, 15 June 2024 14:20
Session: Session 4
Room: Salle 103
Presentation Type:Oral Presentation

All presentation times are UTC + 2 (Europe/Paris)

Journeying through the intricate realm of artificial intelligence (AI) demands solid AI literacy, a vital requisite for school leaders who are shaping the future landscape of education. This study utilizes latent profile analysis to explore the diverse AI literacy profiles among school leaders and its impact on their AI self-efficacy trust in AI, and AI anxiety. Participants were 555 school leaders from China. Four distinct profiles emerged from this study namely AI experts, AI proficient, AI practitioner, and AI novices, each exhibiting varying levels of competencies across the various facets of AI literacy. The findings highlight that high AI literacy can foster greater self-efficacy trust in AI and reduce AI anxiety. Furthermore, the study underscores the urgent need for targeted professional development programs to enhance AI literacy among school leaders. These yield significant implications for scholars, school leaders, and educational policy developers striving to encourage both effective and ethical applications of AI in pursuing digital transformation in education.

Authors:
Junjun Chen, The Education University of Hong Kong, Hong Kong
Masoumeh Kouhsari, The Education University of Hong Kong, Hong Kong


About the Presenter(s)
Dr. Junjun Chen is an Associate Professor at the Department of Education Policy and Leadership, the Education University of Hong Kong, Hong Kong SAR, China. Her research has focused on teacher and principal well-being and resilience, systematic liter

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00