Science of Learning Institute, Johns Hopkins University.
Department of Psychology, Northwestern University.
Top Cogn Sci. 2017 Oct;9(4):883-901. doi: 10.1111/tops.12233. Epub 2016 Nov 25.
Science, technology, engineering, and mathematics (STEM) disciplines commonly illustrate 3D relationships in diagrams, yet these are often challenging for students. Failing to understand diagrams can hinder success in STEM because scientific practice requires understanding and creating diagrammatic representations. We explore a new approach to improving student understanding of diagrams that convey 3D relations that is based on students generating their own predictive diagrams. Participants' comprehension of 3D spatial diagrams was measured in a pre- and post-design where students selected the correct 2D slice through 3D geologic block diagrams. Generating sketches that predicated the internal structure of a model led to greater improvement in diagram understanding than visualizing the interior of the model without sketching, or sketching the model without attempting to predict unseen spatial relations. In addition, we found a positive correlation between sketched diagram accuracy and improvement on the diagram comprehension measure. Results suggest that generating a predictive diagram facilitates students' abilities to make inferences about spatial relationships in diagrams. Implications for use of sketching in supporting STEM learning are discussed.
科学、技术、工程和数学(STEM)学科通常在图表中说明 3D 关系,但这些对于学生来说往往具有挑战性。无法理解图表会阻碍 STEM 的成功,因为科学实践需要理解和创建图表表示。我们探索了一种新的方法来提高学生对传达 3D 关系的图表的理解,该方法基于学生生成自己的预测图表。在设计前后,参与者通过选择正确的 2D 切片通过 3D 地质块图来衡量他们对 3D 空间图表的理解。生成预测模型内部结构的草图导致对图表理解的更大提高,而无需草图可视化模型内部结构,或者在不尝试预测看不见的空间关系的情况下绘制模型。此外,我们发现绘制的图表准确性与图表理解度量的提高之间存在正相关关系。结果表明,生成预测图表有助于学生推断图表中空间关系的能力。讨论了在支持 STEM 学习中使用草图的意义。