Volume 6 • Issue 1 • PP: 01–07 • 2027
The AI Wave Is Coming: How Should University Classrooms Be Reimagined?
Open Access & Copyright
© 2027 The Author(s). Published by ASPG. This article is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
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Artificial intelligence (AI) technology is rapidly penetrating higher education, bringing profound transformations to university classroom instruction. However, existing research has paid limited attention to practical implementation pathways within real teaching contexts, leaving frontline educators without systematic operational guidance. Grounded in daily classroom practices, this paper aims to provide teachers with replicable and scalable strategies for Human-AI collaborative teaching, along with practical guidelines for applying AI tools. The study first outlines the contemporary context and driving forces behind integrating AI into university classrooms. It then systematically analyzes core challenges in current teaching practices—such as rigid teaching models, limited educational resources, inefficient classroom interaction, monotonous assessment methods, and excessive workloads for instructors. Finally, it proposes a comprehensive reform framework and implementation pathway for AI-enhanced university teaching, focusing on six key areas: reconfiguring teaching models, building intelligent resource-sharing systems, fostering student agency, establishing dynamic, whole-process evaluation mechanisms, supporting teachers in reducing workload and improving efficiency, and mitigating ethical risks associated with AI applications. Emphasizing practicality and feasibility, this paper offers frontline educators actionable solutions to navigate the transition toward intelligent education.
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