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A data warehouse methodology and model for student data in higher education.

机译:高等教育中学生数据的数据仓库方法和模型。

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摘要

The problem to be investigated in this study focuses on the development of a method to improve the quality of the data contained in the academic student records component of a data warehouse (DW) in a higher education setting. A DW should contain high-quality data and be considered a successful implementation by the stakeholders of the system. Such a system will allow administrators at higher education institutions to be able to make sound decisions for their college or university. A questionnaire was made available to information technology specialists and managerial end-users who worked in higher education institutions. These potential respondents were contacted by e-mail and provided a link to a web-site that allowed them participants to access the questionnaire. The data collected from the questionnaire responses was analyzed by using a chi square analysis and an analysis of variance. DW quality was used as the dependent variable in this study. Whether or not a design methodology was used in the development of the DW or other on-line analytical processing (OLAP) data architecture, the extent of metadata use during the development of the DW or other OLAP data architecture, whether or not data marts were developed before the development of the DW or other OLAP architecture, and the amount of collaboration used in the development of the DW or other OLAP architecture were used as independent variables in this study. The researcher identified positive relationships that existed between quality variables and design constructs. These constructs were then used to build a model for building a DW that could be used for higher education applications. This model focused on the academic student records applications. After analysis of the responses from the questionnaire, it was determined that the use of metadata and end-user involvement had a positive relationship to obtaining high-quality data in a DW. Based on these results a model using a star-schema and a modification of the Zachman Framework was developed. The ultimate goal of the researcher in this study was to build a model for a DW in higher education that can improve decision-making performance of administrators.
机译:在这项研究中要研究的问题集中在开发一种方法上,以提高高等教育环境中数据仓库(DW)的学术记录组件中包含的数据的质量。 DW应该包含高质量的数据,并被系统的利益相关者认为是成功的实施。这样的系统将使高等教育机构的管理员能够为他们的学院或大学做出明智的决定。向在高等教育机构工作的信息技术专家和管理最终用户提供了调查表。通过电子邮件与这些潜在的受访者进行了联系,并提供了指向网站的链接,使参与者可以访问问卷。通过使用卡方分析和方差分析来分析从调查问卷回复中收集的数据。在本研究中将DW质量用作因变量。无论在DW或其他联机分析处理(OLAP)数据体系结构的开发中是否使用了设计方法,在DW或其他OLAP数据体系结构的开发过程中元数据使用的程度,无论数据集市是否在开发DW或其他OLAP架构之前开发的产品,以及在DW或其他OLAP架构的开发中使用的协作量在本研究中用作自变量。研究人员确定了质量变量和设计结构之间存在正向关系。然后使用这些构造来构建用于构建DW的模型,该模型可用于高等教育应用。该模型侧重于大学生记录应用程序。在对调查问卷的答复进行分析之后,确定使用元数据和最终用户的参与与在DW中获取高质量数据具有正相关关系。基于这些结果,开发了使用星型模式和Zachman Framework修改版的模型。该研究人员的最终目标是为高等教育的数据仓库建立模型,以提高管理人员的决策绩效。

著录项

  • 作者

    Palmer, Harold.;

  • 作者单位

    Nova Southeastern University.;

  • 授予单位 Nova Southeastern University.;
  • 学科 Information Science.; Education Higher.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 201 p.
  • 总页数 201
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 信息与知识传播;高等教育;
  • 关键词

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