期刊文献+

基于社区搜索模块排序算法的网页设计教学质量评估系统 被引量:3

Webpage design teaching quality assessment system based on ranking algorithms of community search modules
下载PDF
导出
摘要 教学质量的评估可推动教学机构教学工作全面改进与提升,促进教学改革纵深发展。而针对以往教学质量评估大多通过学生单方面反馈来判定,评估结果较为片面,且评估精度不高。将网页设计作为评估领域,设计一种基于社区搜索模块排序算法网页设计教学质量评估系统,通过数据采集模块获取有关网页主题、网页栏目规划、网页内容、网页版面设计及网页技术的数据,传输至社区搜索模块;社区搜索模块将评估数据分为教师社区评估数据、学生社区评估数据及管理员社区评估数据,从多个角度分析教学质量,并采用多因素排序算法完成网页设计教学质量评估。实验结果表明,所设计系统可有效评估多个高校网页设计教学质量,且评估精度高达99.89%。 The assessment of teaching quality can actuate the overall improvement and promotion of the teaching work in teaching institutions,and promote the further development of teaching reform.In the past,the teaching quality assessment was judged mostly by means of the students′unilateral feedback,resulting in the one⁃sided assessment results and the low evaluation accuracy.A webpage design teaching quality assessment system based on the ranking algorithm of community search module is designed,which takes webpage design as the assessment field.The data acquisition module is used to obtain the data about webpage theme,webpage column planning,webpage content,webpage layout design and webpage technology,and then transmit them to the community search module.The community search module divides the evaluation data into teacher community evaluation module data,student community assessment data and administrator community assessment data.The teaching quality is analyzed from multiple perspectives.The teaching quality assessment of web design is completed by means of the multi⁃factor ranking algorithm.The experimental results show that the designed system can effectively assess the teaching quality of webpage design in many colleges and universities,and its assessment accuracy is as high as 99.89%.
作者 李素贞 LI Suzhen(Weifang University of Science and Technology,Shouguang 262700,China)
机构地区 潍坊科技学院
出处 《现代电子技术》 北大核心 2020年第4期83-86,共4页 Modern Electronics Technique
基金 国家自然科学基金(61461033)
关键词 网页设计 教学质量评估 数据采集 数据评估 多因素排序 实验分析 webpage design teaching quality assessment data collection data assessment multi⁃factor ranking experimental analysis
  • 相关文献

参考文献8

二级参考文献57

共引文献47

同被引文献28

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部