Journal ArticleParallel publicationPublished versionDOI: 10.48548/pubdata-4143

School leaders’ expectations of AI’s impact on students and teachers: Insights from ICILS 2023

Chronological data

Date of first publication2025-12-08
Date of publication in PubData 2026-08-19

Language of the resource

English

Related external resources

Variant form of DOI : 10.1177/17411432251401487
Eryilmaz, N., Mah, D.-K., Bellibas, M. S., & Pietsch, M. (2025). School leaders’ expectations of AI’s impact on students and teachers: Insights from ICILS 2023. Educational Management Administration & Leadership.
Published in ISSN : 1741-1432
Educational Management Administration & Leadership

Abstract

This study examines how principals perceive the potential benefits and challenges of artificial intelligence (AI) for students’ learning and teachers’ work across 12 countries, utilizing data from the 2023 International Computer and Information Literacy Study (ICILS 2023). We utilized latent network models, which allow for a flexible, network-based understanding of latent constructs, to examine the structural relationships between variables related to principals’ perceptions of AI. The findings revealed that while many school leaders recognize AI's potential to enhance student engagement and support teaching, they also express worries about its impact on academic integrity, teacher workload, and instructional practices. Those who view AI as beneficial for students tend to see similar advantages for teachers, whereas concerns about increased workload often accompany negative perceptions of AI's role in education. These insights emphasize the importance of developing balanced AI integration strategies that optimize benefits while mitigating potential challenges for educators. We suggest that policymakers design professional learning opportunities for school leaders that address both the benefits and effective integration of AI in teaching and learning, as well as strategies to mitigate potential negative consequences, such as increased workload or unethical use (e.g. cheating).

Keywords

ChatGPT; Artificial Intelligence in Education; School Leadership; Teacher Workload; AIintegration; Latent Network Models (LNMs); Digital Literacy

Leuphana Institution

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DDC

Creation Context

Research