Neuedu Teaching Quality Evaluation System
Function
The system provides a comprehensive and systematic solution to the problems of high evaluation cost, data collection difficulty, low statistical efficiency, and complex processes in the management of teaching quality in schools. The system supports users in establishing multi-dimensional teaching quality evaluation models based on their needs, and collects evaluation data from multiple channels to ensure the comprehensiveness and multi-angle nature of the evaluation. By analyzing diverse data sources such as student evaluations, expert evaluations, peer evaluations, evaluations from teaching units, and evaluations from party and government leaders, the system can accurately calculate the teaching quality scores of teachers by combining the evaluation models.




Feature
Independent and Systematic Evaluation Coexist
The system supports the establishment of multiple evaluations from different dimensions, each of which is independent. Each evaluation can be linked to a user. When establishing an evaluation system, the evaluation standards within the system can obtain the evaluation results from independent evaluations as scores. For example, Zhang Teacher participated in multiple independent evaluations such as course evaluation, peer evaluation, and supervisor evaluation. Later, in the annual performance evaluation system, the results of these three independent evaluations can be used as the source of scores.

Comprehensive Evaluation Parameter Setting Support
The system supports setting detailed evaluation parameters according to actual needs to ensure that the evaluation process is more precise and targeted. Users can set parameters such as bias value, maximum value, minimum value, evaluation mode, etc. for specific tasks. The parameter setting function ensures that the system can meet diverse teaching assessment needs and improve the accuracy and effectiveness of evaluation.

Scientific Evaluation Results Calculation
The system combines multi-dimensional evaluation models and various evaluation data to scientifically calculate the teacher's teaching quality score. The precise data collection and processing method ensures the accuracy and fairness of the evaluation results, helping the school to better understand the teacher's teaching situation and promptly address problems to improve teaching quality.