摘要
本文设计了一种自动评价网络教学视频的指标:流行度和质量。与已有的人工评价方法不同,本文的评价方法通过教学视频中各集的播放量来挖掘学习者对该教学视频的评价,通过函数拟合获得指数函数的两个参数a和b,分别对应视频的评价指标:流行度和质量。通过网络真实数据进行相关实验,结果显示该自动评价指标和方法与人工评价的结果基本一致。
This study puts forward an automatic evaluation index for online video lectures in terms of popularity and quality. Unlike existing manual approaches such as questionnaire surveys and clicking the like button, the suggested index evaluates the videos based on how much of a video is viewed each time. Two parameters a and b, popularity and quality, respectively, of the exponential function are obtained through function fitting in this automatic evaluation approach. Validation of the method in the real context shows that it can achieve almost the same results as manual evaluation methods.
出处
《中国远程教育》
CSSCI
北大核心
2015年第7期72-76,80,共5页
Chinese Journal of Distance Education
基金
浙江省课堂教学改革项目(编号:KG201319)的研究成果
国家自然科学基金青年基金项目"大规模图像近似拷贝快速检测方法研究"(项目编号:61202280)资助
关键词
视频教学
资源评价
自动评价
视频教学资源
video lecture
resource evaluation
automatic evaluation
instructional videos
