Opportunities, challenges and school strategies for integrating generative
AI in education
Item
-
Title
-
Opportunities, challenges and school strategies for integrating generative
AI in education
-
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.
-
Contributor
-
Eagle Kai Chi Chan
-
Chung Kwan Lo
-
Creator
-
Davy Tsz Kit Ng
-
Date
-
June 2025
-
Date Submitted
-
May 30, 2024
-
Date Accepted
-
January 23, 2025
-
Date Available
-
January 25, 2025
-
Date Modified
-
January 22, 2025
-
Extent
-
12 pages
-
Language
-
English
-
Publisher
-
Elsevier
-
Source
-
Computers and Education: Artificial Intelligence
-
Rights
-
© 2025 The Authors. Published by Elsevier Ltd.
-
Subject
-
Artificial intelligence
-
Computational intelligence
-
Ethics
-
Digital humanities
-
School autonomy
-
Teachers--Training of
-
Machine learning
