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首页> 外文会议>Future Technologies Conference >Creating Powerful Dashboards and Visualizations of Direct and Indirect SLOs Measures using Google's Dataset Publishing Language (DPSL) and Google's Public Data Explorer (GPDE) to Advance Assessment Practices in Institutional Research at Institutions of Higher Education
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Creating Powerful Dashboards and Visualizations of Direct and Indirect SLOs Measures using Google's Dataset Publishing Language (DPSL) and Google's Public Data Explorer (GPDE) to Advance Assessment Practices in Institutional Research at Institutions of Higher Education

机译：使用Google的DataSet出版语言（DPSL）和Google的公共数据资源管理器（GPDE）创建直接和间接SLOS措施的强大仪表板和可视化，以提前高等教育机构的机构研究评估实践

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Google's Dataset Publishing Language (DPSL) and Google's Public Data Explorer (GPDE) offer Institutions of Higher Education (IHE) powerful ways to analyze campus-wide assessments of learning outcomes that were formerly unavailable to staff, assessment coordinators, institutional researchers, and other stake holders. Current practices in institutional assessment are severely limited, but DPSL and GPDE offer us a leap forward in institutional assessment. Presently, meaning is lost when the results of direct and indirect assessments of student learning outcomes are aggregated from program-level measures and presented as institution-wide results. For example, numerical results from analytic rubrics of performance assessments or signature assignments and survey responses from program completers and employers are most meaningful and useful at the program level; however, the impact of these measures can dissipate quickly as results are scaled upward toward the department, unit, college, or university levels. A better approach exists now. Using DPSL and the Google's Public Data Explorer, we demonstrate a fully-scalable and animated dashboard of student learning outcome results that not only retains meaning at all levels of the institution, but also affords us with new opportunities for data analysis and data-informed decision making. These animated dashboards provide us with a novel approach to presenting and analyzing direct and indirect assessment results of student learning outcomes.
机译：谷歌的数据集发布语言（DPSL）和谷歌的公共数据资源探索者（GPDE）提供高等教育机构（IHE）强大的方法来分析校园范围的学习成果评估，以前不可用员工，评估协调员，机构研究人员和其他股权持有人。机构评估的现行实践严重有限，但DPSL和GPDE在机构评估中向我们提供了进入的跨越式。目前，当学生学习成果的直接和间接评估的结果与方案级别措施汇总并呈现为机构范围的结果时，意味着迷失。例如，来自绩效评估或签名作业的分析尺寸的数值结果和计划完成者和雇主的调查答复在计划层面最有意义，有用;然而，这些措施的影响可以很快消散，因为结果向部门，单位，学院或大学层面上调。现在存在更好的方法。使用DPSL和Google的公共数据资源管理器，我们展示了学生学习结果结果的完全可扩展和动画的仪表板，不仅在机构各级保留了意义，而且还为我们提供了新的数据分析和数据信息决策的机会制作。这些动画仪表板为我们提供了一种提出和分析学生学习成果的直接和间接评估结果的新方法。

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