摘要
课堂教学质量是高校教师回归教书育人的核心要素,也是我国高等教育改革的关键抓手。从不同主体评教差异较大的问题入手,致力于最大程度地减少不公平因素的影响,借鉴TOPSIS思想,构建并改进了公平度算法,以调整不同主体的评教结果。通过计算标准化(距离)得分、不同主体的加权最小值平均分和加权最大值平均分,并反标准化得分,最终应用Python编写公平度算法。研究结果表明,改进后的算法在减少不同评价主体评分偏差方面效果显著,显著降低了学院内部不同主体评分的变异性,使评分结果更加公正可靠,从而有效解决了同一教师在不同主体评分中的差异问题,为教学质量评价提供了新的方法和思路。
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.
作者
宋莹莹
庄蓁蓁
SONG Ying-ying;ZHUANG Zhen-zhen(Supervision Office,Foshan Polytechnic,Fo Shan 528000;Department of Computer Science and Engineering,Guangzhou Institute of Science and Technology,Guangzhou 510540,China)
出处
《广州城市职业学院学报》
2024年第4期44-49,共6页
Journal Of Guangzhou City Polytechnic
基金
广东省教育科学规划课题“基于公平度算法的高职院校教学质量评价体系的研究”(编号:2022GXJK601)
广州理工学院课题“新工科视域下计算机专业教学质量评价体系的研究与实践”(编号:2022XBZ02)。
