Design of University Teaching Intelligent Analysis System Based on Data Mining Technology

The University Teaching Intelligent Analysis System (UTIAS) was designed using data mining technology for enhanced educational insights. To design the system, theoretical foundations were reviewed as the basis for the design of the system. Data mining process, cluster analysis, and association analysis were explored in the review. The elements of the UTIAS were determined through a requirements analysis. The system architecture and modular design were constructed to ensure scalability, adaptability, and efficiency. Essential system modules were created for user authentication, course evaluation, and personal information management. For the user-centric approach, the user login and registration processes, security, and personalization were included in the system. Cluster analysis and association analysis were conducted to validate the system’s capabilities. The results helped to understand student learning behaviors and provide personalized recommendations.