摘要
为更全面、客观地评估课程在线教学效果,减少评估结果的误差,文章以高校英语课程为例,利用模糊AHP,开展在线教学效果智能评估方法研究。文章首先制定数据采集计划,采集并整合英语课程在线教学评估数据并构建多层次的教学效果评估指标体系,将复杂的在线教学效果问题分解为多个具体的指标;然后利用模糊AHP,对在线教学效果进行全方位的智能评估,确定在线教学效果与教学目标达成度的等级。实验结果表明,该方法应用后,评估误差均控制在1.5以下,评估准确性较高。
In order to evaluate the effect of online teaching more comprehensively and objectively,and reduce the error of evaluation results.This paper takes college English courses as an example,and uses fuzzy AHP to carry out the research on the intelligent evaluation method of online teaching effect.Formulate a data collection plan,collect and integrate online teaching evaluation data of English courses,construct a multi-level teaching effect evaluation index system,decompose complex online teaching effect problems into multiple specific indicators,and then use fuzzy AHP to conduct a comprehensive intelligent evaluation of online teaching effect and determine the level of online teaching effect and teaching goal achievement.The experimental results show that the evaluation error is controlled below 1.5 after the application of this method,and the evaluation accuracy is high.
作者
罗霞
LUO Xia(Wuchang Institute of Technology,Wuhan 430065,China)
出处
《无线互联科技》
2024年第19期40-42,共3页
Wireless Internet Science and Technology
关键词
模糊AHP
高校
英语课程
在线教学
效果
评估
Fuzzy AHP
university
English course
online teaching
effect
evaluation