摘要
依托在线教育的大数据技术,建立一套改进的在线教育评价指标体系.根据该系统特点,利用智慧校园信息系统后台,获取主客观评价数据并加以整合与处理.通过基于改进的复合梯度算法计算最优权重,处理评分数据,以获得能反映实际教学水平的综合成绩.实验结果表明,该算法是有效的.
It is necessary to establish an improved online education evaluation index system based on big data technology.Then,according to the system characteristics,the subjective and objective evaluation data can be obtained,integrated and processed by different backstage from information systems of smart campus.Next,based on the improved comprehensive-gradient algorithm,the optimal weights are computed and the scores are processed to get the composite scores that can reflect the actual teaching capability.Finally,the improved algorithm has been verified to confirm its effectiveness by trials.
作者
陶槊
魏东东
陈滨
王强志
TAO Shuo;WEI Dongdong;CHEN Bin;WANG Qiangzhi(Information Engineering Department,Hefei Science and Technology College,Hefei 231201,China)
出处
《成都大学学报(自然科学版)》
2024年第1期46-52,共7页
Journal of Chengdu University(Natural Science Edition)
基金
安徽省教育厅继续教育教学改革项目(2021jxjy054)
安徽省高校教学实训基地项目(2021jyxm1532)。
关键词
在线教育
梯度算法
大数据
复合权值
online education
gradient algorithm
big data
comprehensive weights