基于行为识别的线上教育质量评估方法研究

Research on Online Education Quality Evaluation Method Based on Behavior Recognition

常规的教育质量评估方法虽建立了评估指标分类原则,但是无法确定评估指标的置信区间,导致线上教育质量评估精度较低。因此,设计了基于行为识别的线上教育质量评估方法。在获取线上教学行为数据后,利用行为识别技术确定线上教育质量评估指标,计算评估指标的权重。通过构建线上教育质量评估模型,综合评估线上教育质量,从而高效评估线上教育质量。采用对比实验的方式,验证了设计的评估方法的精度更高,教育质量评估效果更佳。

Although the conventional education quality evaluation method establishes the classification principle of evaluation indicators,it cannot determine the confidence interval of evaluation indicators,resulting in low accuracy of online education quality evaluation.Therefore,this paper designs an online education quality evaluation method based on behavior recognition.Get online teaching behavior data,and use behavior recognition technology to determine online education quality evaluation indicators,and calculate the weight of evaluation indicators.Build an online education quality evaluation model to comprehensively evaluate online education quality,so as to achieve efficient evaluation of online education quality.By means of comparative experiments,it is verified that the designed evaluation method has higher accuracy and better effect of education quality evaluation.