Neuedu Teaching Quality Evaluation System
Function
The system provides a comprehensive and systematic solution to the problems of high evaluation costs, difficulty in data collection, low statistical efficiency, and complex processes in teaching quality management in schools. The system supports users to establish multi-dimensional teaching quality evaluation models according to needs, and collects evaluation data from multiple channels to ensure comprehensive and multi-angle evaluation. By analyzing diverse data sources from student evaluations, expert evaluations, peer evaluations, teaching unit evaluations, and leadership evaluations , and combined with the evaluation model, the system can accurately calculate teachers' teaching quality scores.
Feature
Independent evaluation and system evaluation coexist
The system supports the establishment of multiple evaluations in different dimensions, each evaluation is independent of each other, and each evaluation can be associated with a user. When establishing an evaluation system, each evaluation standard within the evaluation system can obtain evaluation results from independent evaluations as the score for that standard. For example: Teacher Zhang participated in multiple independent evaluations such as course evaluation, peer evaluation, and superior evaluation. Subsequently, in the year-end performance appraisal system, the results of these three independent evaluations can be obtained as the source of grades.
Comprehensive support for evaluation parameter settings
The system supports setting detailed evaluation parameters according to actual needs, thereby ensuring that the evaluation process is more accurate and targeted. Users can set offset values, maximum values, minimum values, evaluation modes and other factors for specific tasks. The parameter setting function ensures that the system can meet diverse teaching evaluation needs and improve the accuracy and effectiveness of evaluation.
Scientific calculation of evaluation results
The system combines multi-dimensional evaluation models and various aspects of evaluation data to scientifically calculate teachers' teaching quality scores. Precise data collection and processing methods ensure the accuracy and fairness of evaluation results, helping schools better understand teachers' teaching conditions, identify problems in a timely manner, and take corresponding measures to improve teaching quality.
The system provides a comprehensive and systematic solution to the problems of high evaluation costs, difficulty in data collection, low statistical efficiency, and complex processes in teaching quality management in schools. The system supports users to establish multi-dimensional teaching quality evaluation models according to needs, and collects evaluation data from multiple channels to ensure comprehensive and multi-angle evaluation. By analyzing diverse data sources from student evaluations, expert evaluations, peer evaluations, teaching unit evaluations, and leadership evaluations , and combined with the evaluation model, the system can accurately calculate teachers' teaching quality scores.
Feature
Independent evaluation and system evaluation coexist
The system supports the establishment of multiple evaluations in different dimensions, each evaluation is independent of each other, and each evaluation can be associated with a user. When establishing an evaluation system, each evaluation standard within the evaluation system can obtain evaluation results from independent evaluations as the score for that standard. For example: Teacher Zhang participated in multiple independent evaluations such as course evaluation, peer evaluation, and superior evaluation. Subsequently, in the year-end performance appraisal system, the results of these three independent evaluations can be obtained as the source of grades.
Comprehensive support for evaluation parameter settings
The system supports setting detailed evaluation parameters according to actual needs, thereby ensuring that the evaluation process is more accurate and targeted. Users can set offset values, maximum values, minimum values, evaluation modes and other factors for specific tasks. The parameter setting function ensures that the system can meet diverse teaching evaluation needs and improve the accuracy and effectiveness of evaluation.
Scientific calculation of evaluation results
The system combines multi-dimensional evaluation models and various aspects of evaluation data to scientifically calculate teachers' teaching quality scores. Precise data collection and processing methods ensure the accuracy and fairness of evaluation results, helping schools better understand teachers' teaching conditions, identify problems in a timely manner, and take corresponding measures to improve teaching quality.
