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Grade distribution digests: A novel tool to enhance teaching and student learning in laboratory practicals

机译:等级分布摘要:提高实验室实践中教学和学生学习的新工具

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Assessment is a central component of course curriculums and is used to certify student learning, but it can also be used as a tool to improve teaching and learning. Many laboratory courses are structured such that there is only a grade for a particular laboratory, which limits the insights that can be gained in student learning. We developed a laboratory program that incorporates assessments designed to probe student understanding of different components of the individual modules making up the program. The challenge was to analyze and present grades from these assessment tasks in a format that was readily interpretable by academics. We show that a simplified synthesis of grade distributions (grade distribution digests) provides sufficient information to make decisions about changes in course components. The main feature of the digests is its data visualization approach, where student grades for individual laboratory practicals, individual assessment tasks or individual assessment items are graphically presented as an overall average grade, an average top quartile grade and an average bottom quartile grade, and relative averages across all assessments. This ability to visualize student grades in variety of contexts enables academics with many other demands on their time (e.g. research and administration) to more efficiently identify ways to improve teaching delivery and learning outcomes. Examples are presented of the use of such data to identify and improve deficiencies in both student skills and teaching practice, resulting in improved learning outcomes. (c) 2017 by The International Union of Biochemistry and Molecular Biology, 46(2):130-140, 2018.
机译:评估是课程课程的中央组成部分,用于证明学生学习,但它也可以用作改善教学和学习的工具。许多实验室课程都是结构化,使特定实验室只有一个等级,这限制了学生学习中可以获得的见解。我们开发了一个实验室计划,该计划融入了旨在探测学生了解所构成程序的各个模块的不同组成部分的评估。挑战是以学术界易于解释的格式分析和呈现来自这些评估任务的等级。我们表明,简化的等级分布合成(等级分布摘要)提供了足够的信息,以决定课程组件的变化。摘要的主要特征是其数据可视化方法,其中单个实验室实际的学生成绩,个别评估任务或个别评估项目被图形地作为总体平均水平,平均最高四分位数和平均底部四分位数和相对呈现所有评估的平均值。这种可视化学生成绩的能力,各种背景,使学者能够更有效地确定改善教学交付和学习成果的方法的时间(例如研究和管理)。提出了这些数据的使用来识别和改善学生技能和教学实践的缺陷,从而改善了学习结果。 (c)2017年由国际生物化学和分子生物学联盟,46(2):130-140,2018。

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