A comprehensive AI policy education framework for university teaching and learning

Abstract This study aims to develop an AI education policy for higher education by examining the perceptions and implications of text generative AI technologies. The Operational dimension addresses matters concerning infrastructure and training.

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• 1 Data was collected from 457 students and 180 teachers and staff across various disciplines in Hong Kong universities, using both quantitative and qualitative research methods.
• 2 Based on the findings, the study proposes an AI Ecological Education Policy Framework to address the multifaceted implications of AI integration in university teaching and learning.
• 3 This framework is organized into three dimensions: Pedagogical, Governance, and Operational.

These innovations can translate to real-world improvements in technology, infrastructure, and everyday tools.

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