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基于层次分析法的教学质量数据平台设计与实现 被引量:10

Design and implementation of teaching quality data platform based on analytic hierarchy process
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摘要 高校教学质量评估涉及多种角色和多维数据,如何客观全面反映各相关主体的教学质量情况,需要依托信息系统进行数据采集,并对采集的数据根据计算模型进行分析。文章引入层次分析法用于对采集数据进行计算和提供决策支持。信息系统提供包括企业微信在内的多种访问方法。根据企业微信提供的组织架构接口,同步数据平台与企业微信基础数据,实现数据共享。利用企业微信的接口,将数据平台内置为企业微信的一个应用,师生进入企业微信后自动完成身份认证,直接进入平台进入评价和反馈。文中对平台的应用背景、主要需求、层次分析模型、企业微信对接方式和数据库设计等方面进行了阐述。 The evaluation of teaching quality in Colleges and universities involves many roles and multi-dimensional data. How to objectively and comprehensively reflect the teaching quality of the relevant subjects needs to rely on information system to collect data and analyze the collected data according to the calculation model. In this paper, analytic hierarchy process (AHP) is introduced to calculate the collected data and provide decision support. Information system provides a variety of access methods including enterprise WeChat. According to the organizational structure interface provided by Enterprise WeChat, the data platform is synchronized with the basic data of Enterprise WeChat to realize data sharing. Using the interface of enterprise WeChat, the data platform is built into an application of enterprise WeChat. After entering enterprise WeChat, teachers and students can automatically complete their identity authentication and enter the platform directly for evaluation and feedback. In this paper, the application background, main requirements, analytic hierarchy process model, enterprise WeChat docking mode and database design of the platform are described.
作者 孙彩云 SUN Caiyun(College of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)
出处 《电视技术》 2019年第4期94-98,共5页 Video Engineering
基金 国家社科基金重大项目(16ZDA047)
关键词 质量监控 企业微信 互联网+ 大数据 智慧教学评价 层次分析法 quality control enterprise WeChat internet plus big data intelligent teaching evaluation the analytic hierarachy process
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