SimBiotic Software, Missoula, MT 59801.
Graduate School, University of Massachusetts, Amherst, MA 01003.
CBE Life Sci Educ. 2024 Mar;23(1):ar1. doi: 10.1187/cbe.22-08-0158.
Active learning approaches to biology teaching, including simulation-based activities, are known to enhance student learning, especially of higher-order skills; nonetheless, there are still many open questions about what features of an activity promote optimal learning. Here we designed three versions of a simulation-based tutorial called Understanding Experimental Design that asks students to design experiments and collect data to test their hypotheses. The three versions vary the experimental design task along the axes of feedback and constraint, where constraint measures how much choice students have in performing a task. Using a variety of assessments, we ask whether each of those features affects student learning of experimental design. We find that feedback has a direct positive effect on learning. We further find that small changes in constraint have only subtle and mostly indirect effects on learning. This work suggests that designers of tools for teaching higher-order skills should strive to include feedback to increase impact and may feel freer to vary the degree of constraint within a range to optimize for other features such as the ability to provide immediate feedback and time-on-task.
主动学习方法在生物学教学中得到了广泛应用,包括基于模拟的活动,这些方法被证明可以提高学生的学习效果,尤其是对高阶技能的学习效果;尽管如此,对于什么是活动促进最佳学习的问题,仍有许多悬而未决的问题。在这里,我们设计了三种基于模拟的辅导版本,称为“理解实验设计”,要求学生设计实验并收集数据来检验他们的假设。这三个版本沿着反馈和约束的轴改变实验设计任务,其中约束衡量学生在执行任务时的选择程度。我们使用各种评估方法来询问这些特征中的每一个是否会影响学生对实验设计的学习效果。我们发现反馈对学习有直接的积极影响。我们进一步发现,约束的微小变化对学习只有细微的、主要是间接的影响。这项工作表明,教授高阶技能的工具设计者应该努力包括反馈来提高效果,并且可能会更自由地在一定范围内改变约束程度,以优化其他特征,例如提供即时反馈和任务时间的能力。