Core Insights - The seminar focused on the theme "Human-Machine Collaboration, Intelligent Future: New Paradigms for Smart Course Development" and aimed to explore how artificial intelligence will reshape future classrooms and the evolving role of teachers [1][3] Group 1: Seminar Themes - The seminar concentrated on four core themes: "Smart Construction, Smart Teaching, Smart Learning, and Smart Management" [3] - Twelve authoritative experts were invited to deliver specialized academic reports during the seminar [3] Group 2: Expert Contributions - Tsinghua University Professor Yu Xinjie emphasized the importance of documenting teachers' growth experiences in teaching through his report on "Wisdom in Teaching Archives" [3] - Southeast University Professor Hu Ranjie shared optimization experiences for large electrical engineering foundational courses, focusing on "System Reconstruction, Project-Driven, and Intelligent Empowerment" [3] - Beijing Institute of Technology Professor Wang Meiling proposed a new approach to digital electronic technology foundational course construction, advocating for "Student-Centered, AI as Two Wings" [3] Group 3: Actionable Strategies - The seminar proposed three core actions for smart course construction: 1. Establishing tiered and categorized construction standards to address the differentiated needs of foundational disciplines and applied specialties [3] 2. Creating a cross-institution resource-sharing alliance to promote the integration and shared use of quality digital textbooks and AI teaching tools [3] 3. Implementing a digital literacy enhancement plan for teachers to cultivate a "Technology + Teaching" composite talent pool [3] Group 4: Impact on Higher Education - Experts indicated that the seminar provided theoretical support and practical examples for the digital transformation of higher education in China [3] - The discussions aimed to advance the construction of smart courses from "point exploration" to "systematic promotion" [3]