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Cited by 182

Opportunities, challenges and school strategies for integrating generative AI in education

Ng, Davy Tsz Kit, Chan, Eagle Kai Chi, Lo, Chung Kwan·2025·Computers and Education: Artificial Intelligence
DOI 10.1016/j.caeai.2025.100373
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Abstract

The increasing accessibility of Generative Artificial Intelligence (GenAI) tools has led to their exploration and adoption in education. This qualitative study investigates the opportunities and challenges associated with integrating GenAI in education, and the strategies that encourage teachers and students to embrace GenAI in school settings. We recruited 76 educators in Canada to participate in a professional training seminar about GenAI and expressed their views through online surveys. Through written reflections, an optimistic outlook on GenAI's role in education was identified among the teachers, and some discipline-specific ideas were proposed. Thematic analysis reveals three key practices of AI implementation: teaching/learning, administration and assessments. However, three major challenges are also identified: school's readiness, teachers' AI competencies, and students' AI literacy and ethics. Teachers suggest several strategies to motivate GenAI integration, including professional development , clear guidelines, and access to AI software and technical support. Finally, Singh's Teach AI Global Initiative Guidance and Socio-ecological Model are adapted and proposed to support schools in becoming AI-ready by addressing teachers' and students' needs, facilitating organizational learning , and promoting improvement and transformation to foster their literacy development . Recommendations were provided for developing effective strategies to embrace GenAI in education.

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  • The field raises concerns about bias, misinformation, and the reliability of AI-generated content, particularly when used without verification in academic settings.

    “The field also raises concerns about bias, misinformation, and the reliability of AI-generated content, particularly when used without verification in academic settings [2,20].”

    From Engineering student perceptions of generative AI use in learning trust judgment and information seeking (2026) · cites this paper as [20]

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Authors
Ng, D. T. K., Chan, E. K. C., & Lo, C. K.
ORCID
Ng, Davy Tsz Kit
Venue
Computers and Education: Artificial Intelligence
Publisher
Elsevier BV
Published
2025-06
Volume
8
Pages
100373
ISSN
2666-920X
DOI
10.1016/j.caeai.2025.100373
Cited by
182
References
19
Language
en
Licence
Funders
  • Education University of Hong Kong
  • The Education University of Hong Kong (MIT/DRG02/24-25)

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