Research on Classroom Teaching Quality Evaluation Method Based on Fairness Algorithm Optimization in Colleges and Universities
Classroom teaching quality is a core element for university teachers to return to the essence of teaching and education,and it is also a crucial issue in the reform of higher education in China.This study addresses the significant differences in teaching evaluations across different subjects,aiming to minimize the impact of unfair factors.By drawing on the TOPSIS method,an improved fairness algorithm was developed to adjust the evaluation results across subjects.The algorithm calculates standardized(distance)scores,the weighted minimum average score,the weighted maximum average score,and the de-standardized scores.Finally,the fairness algorithm was implemented using Python.The research results show that the improved algorithm effectively reduces bias in scores from different evaluation subjects,significantly decreases score variability among subjects within the same department,and makes the evaluation results more fair and reliable.This approach effectively solves the problem of score discrepancies for the same teacher across different evaluation subjects and provides new methods and ideas for teaching quality evaluation.
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维普
