Establishing a Sustainable Process to Measure Learner Performance

M. Saxena, Melanie Kasparian
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引用次数: 3

Abstract

The quality of student learning and academic rigor is central to higher education. Nonetheless, colleges often prioritize metrics such as enrollment and graduation rates or use assessment data to solely fulfill accreditation requirements. The Academic Quality Assurance (AQA) team at a university ventured to expand the academic quality data landscape to learn more about student achievement. The paper shares the team’s journey to collect and report on student performance data for continuous improvement of academic programs. Specifically, this paper includes the methods to promote a culture of assessment by incorporating new concepts into the AQA process: Data visualization and storytelling with data. This paper includes the methodology to collect and report on data, samples of the systems and visualizations used, and the challenges faced in the context of people, process, and tools.
建立一个可持续的过程来衡量学习者的表现
学生的学习质量和学术严谨性是高等教育的核心。尽管如此,大学经常优先考虑入学和毕业率等指标,或者只使用评估数据来满足认证要求。一所大学的学术质量保证(AQA)团队尝试扩展学术质量数据景观,以了解更多关于学生成绩的信息。本文分享了该团队收集和报告学生表现数据以持续改进学术课程的过程。具体来说,本文包括通过将新概念纳入AQA过程来促进评估文化的方法:数据可视化和用数据讲故事。本文包括收集和报告数据的方法,所使用的系统和可视化的样本,以及在人员、过程和工具的上下文中所面临的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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