Integrating generative AI (GAI) into higher education is crucial for
preparing a future generation of GAI-literate students. Yet a thorough
understanding of the global institutional adoption policy remains absent, with
most of the prior studies focused on the Global North and the promises and
challenges of GAI, lacking a theoretical lens. This study utilizes the
Diffusion of Innovations Theory to examine GAI adoption strategies in higher
education across 40 universities from six global regions. It explores the
characteristics of GAI innovation, including compatibility, trialability, and
observability, and analyses the communication channels and roles and
responsibilities outlined in university policies and guidelines. The findings
reveal a proactive approach by universities towards GAI integration,
emphasizing academic integrity, teaching and learning enhancement, and equity.
Despite a cautious yet optimistic stance, a comprehensive policy framework is
needed to evaluate the impacts of GAI integration and establish effective
communication strategies that foster broader stakeholder engagement. The study
highlights the importance of clear roles and responsibilities among faculty,
students, and administrators for successful GAI integration, supporting a
collaborative model for navigating the complexities of GAI in education. This
study contributes insights for policymakers in crafting detailed strategies for
its integration.

将生成式人工智能（GAI）融入高等教育对准备未来一代具备 GAI 知识的学生至关重要，本研究运用创新扩散理论考察了来自六个全球地区的 40 所大学中高等教育中 GAI 采纳策略，其中探讨了 GAI 创新的特征、沟通渠道以及大学政策和指导中所概述的角色和责任，结果显示大学对于 GAI 整合采取了积极的态度，强调学术诚信、教学和学习的提升以及公平性，然而需要制定全面的政策框架以评估 GAI 整合的影响并建立有效的沟通策略以促进更广泛的利益相关者参与，该研究强调教师、学生和管理人员之间明确的角色和责任对于成功整合 GAI 至关重要，支持协作模式来应对教育中 GAI 的复杂性，并为政策制定者在制定详细的整合战略时提供了见解。