Intelligent Evaluation System for Labor Education Quality Based on Data Mining

An intelligent evaluation system was developed for improved labor education based on data mining. The evaluation framework was introduced to assess labor education quality by outlining the main contents and requirements analysis results. The data flow analysis result highlighted the significance of processing vast datasets efficiently. The system included modules for administrator login, evaluation selection, and evaluation. Additionally, The data was analyzed to understand the utilization of data mining to create educational datasets. The system can be used to assess labor education quality using data analytics to support decision-making and educational goals.