It is understood that the alliance was established in March this year, led by Southwest Petroleum University and jointly initiated with multiple universities across the province. Under its plan, the alliance will focus from 2026 to 2027 on launching the “Sichuan Smart MOOC” shared platform, promoting cross-campus sharing of high-quality course resources, teacher training, and the development of smart courses.
01 AI enters the classroom, and teaching methods are changing. Previously, online education mainly expanded access to teaching resources through recorded lectures and digital textbooks. Today, AI offers more possibilities for course development. At the seminar, the University of Electronic Science and Technology of China, Chengdu University of Technology, and other universities shared practices for integrating AI with professional courses, including integrated circuits, industrial design, and the application of discipline-specific large models. AI can help students understand complex knowledge and can also participate in learning feedback, simulated experiments, and practical training, extending courses from knowledge transfer to capability development. However, truly mastering AI technology still requires hands-on operation. Learning AI agents requires personally configuring task workflows; understanding large-model deployment requires exposure to real operating environments; and mastering AI office tools also requires continuous practice through specific work tasks. These needs are driving AI education platforms from simply providing course content toward combining teaching with practical training.
02 From course learning to hands-on practice, AI training platforms see new opportunities. University shared-course platforms solve the problem of accessing high-quality teaching resources, but cultivating AI skills also requires a supporting practical environment. Focusing on this direction, the StarWar Smart Learning AI Practical Training Platform combines course learning with actual operations, covering teaching content such as AI literacy, AI agents, AI knowledge bases, AI office productivity, AI creation, and AI operations. Through visual workshops, container environments, and cloud desktops, the platform provides practical support for AI courses, helping learners apply classroom knowledge to specific tasks. In training scenarios involving model deployment and computing tasks, GPU resources are also an important technical foundation. StarWar Cloud Intelligent Computing provides cloud-based computing resource services that can support computing power for related AI development and experimental tasks. The coordination of course content, practical environments, and computing resources can help universities and training institutions build a more complete AI skills teaching system.
03 AI education is moving toward deeper industry-education integration. The Sichuan Provincial Universities Smart MOOC Alliance plans to continue advancing curriculum standards, teacher training, industry integration, and teaching evaluation reform over the next three to five years. This direction also sets more specific requirements for AI education products: courses need to align with real applications, practical environments need to fit teaching tasks, and learning outcomes need to be tested through operations and projects. From cross-campus course sharing to the construction of AI practical training platforms, universities are exploring more open and flexible models of intelligent education. Enabling students to learn AI, use AI, and truly master problem-solving capabilities will become an important direction for the continued development of AI education.