Music teachers' work performance and personal career development are essential for the improvement of work culture. There are influencing factors of job performance and satisfaction that affect music teachers' career development in most regions. Less motivation, lowering of wages, and lack of scheduled periods are the issues that impact job performance and satisfaction. Therefore a questionnaire is developed among 40 music teachers for finding the problems, and thus it is created by an encouraging satisfaction system using intelligence monitoring (ESS-IM). A set of related questionnaires is conducted using reliability test analysis based on the motivation factors, wages, and scheduled periods. The unit comprises tabulated dataset values combined into a factor by its method for residing phases of research. A data analysis phase that estimates the tabulated dataset for ensuring the values to college management with related coefficient factors is issued by a relative managerial method. The method provides an intelligent unit by analyzing the values in the management system for displaying the affected characteristics in the output of results by perceptions. Therefore the dataset acquisition ensures to provide organizational output units for restricting the issues. Thus, the simulation analysis developed in ESS-IM significantly impacts college management with an accuracy efficiency of 97.3% than current methods.

音乐教师的工作表现和个人职业发展对于工作文化的改善至关重要。大部分地区存在影响音乐教师职业发展的工作绩效和满意度的影响因素。动力不足、工资降低和缺乏预定时间是影响工作绩效和满意度的问题。因此在40名音乐教师中开发了一份调查问卷以发现问题，从而通过使用智能监测的令人鼓舞的满意度系统创建(ESS-IM)。使用基于动机因素、工资和预定时间段的可靠性测试分析来进行一组相关调查问卷。该单元包括按其驻留研究阶段的方法组合成一个因子的列表数据集值。数据分析阶段通过相关管理方法发布数据分析阶段，该阶段估计列表数据集以确保具有相关系数因子的大学管理值。该方法通过分析管理系统中的值提供了一个智能单元，用于通过感知在结果输出中显示受影响的特征。因此，数据集获取确保提供用于限制问题的组织输出单元。因此，在 ESS-IM 中开发的模拟分析以 97 的准确效率显着影响了大学管理。