Adhering to the overall policy of “top-level design, comprehensive planning, categorized training, and steady advancement,” Wuhan University focuses on profoundly integrating AI technology to promote educational paradigm shifts and nurture future-oriented talent. It aims to establish a new ecosystem of digital intelligence education that seamlessly merges teaching applications, educational data, and campus services. To achieve this, the university has launched the “Luojia Online AI Intelligent Teaching Center,” a distinctive brand that encompasses the entire student training life cycle and acts as a key driver for the transformation and upgrading of academic programs.

The Center features an integrated management system that fully leverages existing research outcomes in AI teaching and educational management. Building on advanced technologies such as IoT, big data, cloud computing, and microservices, the Center aims to deliver multi-dimensional services across classroom, mobile, and administrative platforms, blending both physical and virtual realms. The Center actively promotes intelligent-assisted learning, teaching, and administration, constructing a comprehensive intelligent ecosystem.

Wuhan University, with the support of the Center, has developed a specialized knowledge graph system, created AI teaching agents, and built a big data middle office for education. Unlike conventional systems of its kind, the specialized knowledge graph system integrates the knowledge structure with problem-based learning (PBL) and outcome-based education (OBE). This approach moves beyond traditional knowledge delivery, focusing instead on achieving teaching and capability objectives. Such a transition, supported by a comprehensive, multi-dimensional evaluation system that develops diverse profiles, helps complete the university’s digital transformation loop.

AI teaching agents cover various aspects, including “computational intelligence + education,” “perceptual intelligence + education,” and “cognitive intelligence + education.” The applications of AI teaching agents for online classes, personalized learning pathway design, intelligent tutoring, and adaptive learning systems allow Wuhan University to smartly manage a broad spectrum of educational resources. Through intelligent content generation and personalized recommendations, the university is able to provide teachers and students with richer, more targeted educational resources.

The big data middle office integrates teaching data across the university, enabling unified data management, analysis, and application. This integration also improves resource allocation, boosts teaching quality, fosters educational innovation, and promotes scientific decision-making. In short, the Center enhances the efficiency of both teaching and educational management and fully exploits the value of data. It provides more personalized and efficient educational support for teachers and students, ultimately fostering ongoing innovations in teaching models.