Smart Brain is the core component of a smart campus data center. The center uses advanced technologies such as artificial intelligence, audio and video intelligence algorithms, and big data analysis based on self-owned intellectual property rights from Huilan Technology Co., Ltd. to collect, process, mine, and intelligently analyze campus teacher, student, equipment, environment, learning, and teaching data. It provides data support for business applications, activates dormant data, and enables data to serve and provide value to the campus.

Smart Data Fusion, also known as Intelligent Data Integration, is a technology that enables the collection of data from various sources, including classrooms, public learning environments, and teachers and students using various application systems. The system extracts and collects data, cleans and processes it, analyzes it based on specific scenarios and conditions, and builds models to organize the results using visualization techniques to present the information clearly. This enables the integration of data across multiple systems to improve efficiency and provide a comprehensive view of the entire learning ecosystem.

Smart Learning and Teaching Evaluation and Management is a system that promotes active learning by offering multiple teaching methods, enabling students to participate in highly interactive classrooms. The system uses various channels, such as in-class micro-evaluations and multi-dimensional assessments, to objectively evaluate teaching quality and provide feedback for teaching management. The goal of this system is to construct a first-class school governance system that integrates teaching, coursework, data analysis, survey and questionnaire analysis, report generation, and complete data export. This system provides an overview of all data, including authentic records and feedback, to improve teaching quality and student learning outcomes.

Smart Decision-Making is a system that promotes efficient and scientific decision-making, precise management, and the development of first-class universities while ensuring a safe campus environment. The system improves teaching, disciplines innovation, and supports scientific research work. By leveraging classroom data mining and learning analysis technologies, the system can transform teaching data generated from various environments into valuable information. This includes identifying students who may be struggling with learning, discovering knowledge gaps, diagnosing academic abilities, and assessing the achievement of teaching objectives. The system provides accurate, timely, and comprehensive decision-making analyses to promote data-driven precision teaching and learning.